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solve for measures of central tendency and variability

Problems need to include all required steps and answer(s) for full credit. All answers need to be reduced to lowest terms where possible. If the answer is in %, show two decimal places.

Answer the following problems showing your work and explaining (or analyzing) your results. Submit your work in a typed Microsoft Word document.

Below are excel functions, which you can use to solve for measures of central tendency and variability. You can use the formulas too; but, they will be time consuming.

EXCEL FUNCTIONS

Measures of Central Tendency

Suppose data are in cells A1 to A10

Mean                                           =AVERAGE(A1:A10)

Median                                         =MEDIAN(A1:A10)

Mode                                            =MODE(A1:A10)

Measures of Variability

Suppose data are in cells A1 to A10

Range                                            =MAX(A1:A10)-MIN(A1:A10)

IQR                                                =QUARTILE.EXC(Array,3)-QUARTILE.EXC(Array,1)

Population Variance σ2                  =VAR.P(A1:A10)

Sample Variance s2                       =VAR(A1:A10) or VAR.S(A1:A10)

Population Standard Deviation σ   =STDEV.P(A1:A10)

Sample Standard Deviation s        =STDEV(A1:A10) or STDEV.S(A1:A10

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utilize what you learn throughout the course to solve a real-world problem of what fire protection is needed to create plausible actions

Part 1: Scenario-Based Case Study 

The course project is a scenario-based case study, which will be due in Unit VIII. A scenario-based case study is similar to other case studies you may have experienced. The scenario-based case study used in this course provides descriptive information and data to help you make decisions as if you were actively participating in a real-life investigation of a warehouse fire. There are eight assignments for the scenario-based case study (one per unit). You will complete and submit Part 1, Sections I and II of the course project in this unit. Use APA level one headings for each section. The heading should be indicative of the major section to follow. Here is a tutorial on level headings.For the course project, you will utilize what you learn throughout the course to solve a real-world problem of what fire protection is needed to create plausible actions, concepts, or inventions to solve fire protection deficiencies that resulted in a large-scale fire in a warehouse distribution center.From Unit I through Unit VII, you will complete one part of your recommendation in each unit, and in Unit VIII, you will write an executive summary and conclusion. You will then compile all parts into one document as your final project. You can arrange each part in any order you would like before submitting the final project. For instance, this assignment about fire pumps is covered in Chapter 6 of the textbook; however, you may choose to cover fire protection, detection, and suppression systems (completed in Unit II) as the first part of your final project and to place fire pumps after another topic of your choice. You are able to organize the final report sections in any order that makes logical sense to you. During each part, you will prepare a well-organized narrative consisting of two sections. Only submit the assignment for that unit until the final case study is compiled from all units and submitted as a single document in Unit VIII. However, you should evaluate and revise the recommendations as needed during the process for each previous unit as you learn more during the progression of this course.This scenario-based case study is designed to draw upon your imagination to think creatively on potential concerns with fire and explosive hazards, fire controls, and fire and emergency management. You should look at fire protection technology in a holistic way. This way of design thinking is significantly different from what was previously designed by thinking in isolation. You will evaluate and develop recommendations to resolve potential fires in the future.Please click  here to view the background information of the scenario.Through the scenario-based case study process, you will begin developing a tool that will synchronize suggestions to improve life safety. You will accomplish this by utilizing recommendations to improve fire protection after a warehouse distribution center fire.Section ISection I will address the foreign-made fire pump and your recommendations after reviewing the background information.Your narrative will consist of your evaluation of the foreign-made fire pump and your choice of fire pump that you would recommend for the rebuild of the warehouse. The background information will provide you the needed material to identify the basic components common to fire protection for the City of Washington Distribution Warehouse. As you review the material, make sure you do the following actions: 

  1. examine what contributed to the fire,
  2. analyze building components and existing fire suppression systems, and
  3. prepare and disseminate recommendations.

Fire protection design involves an integrated approach where designers need to analyze the building’s use, occupancy, footprint, and existing fire protection systems or components. This assignment is not looking for compliance with building codes nor expecting you to be a fire protection system designer. However, the purpose of this assignment is for you to apply the concepts and knowledge you learned in this unit as you begin writing your final project covering protection systems that will detect, contain, control, and extinguish a fire. In addition, this assignment provides you with the opportunity to use your skills, expertise, and experience to enrich your response.Section IISection II will address the ethical dilemma of using the foreign-made fire pump, as described in the Points to Ponder Scenario within this unit, as a right versus right action or a right versus wrong action.As we saw in the unit lesson, Kidder (1995) described four basic paradigms that deal with most ethical dilemmas of right versus right choices. He believed ethical decisions often involve choices of the individual versus community, truth versus loyalty, short-term versus long-term, and justice versus mercy. Pick one of the paradigms below, and answer the question.

  • Is it right to use the foreign-made fire pump because others were not available in order to provide fire protection so the warehouse could re-open and the workers could go back to work?  -OR-
  • Do you believe using the fire pump dilemma was a right versus wrong action based on your own values, professional ethics, and institutional values?

For this assignment, you will write a two-page narrative (one page per section) supporting your positions. You must have a title page and references page. An abstract is not required. You may use information from reputable, reliable journal articles, case studies, scholarly papers, and other sources that you feel are pertinent. You should use at least three sources, one of which must be your textbook. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations following proper APA style

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Solve the Linear programming model graphically, gives all the corner points along with the values of Z and identify which one is optimal. Give reasons.

Solve the following linear programming model graphically:

Maximize    Z = 3 x1 + 2 x2Subject to: 

2 x1 + 4 x2 ≤ 22-x1 + 4 x2 ≤ 104 x1 – 2 x2 ≤ 14×1 – 3 x2 ≤ 1×1, x2 ≥ 0

(a)  Solve the Linear programming model graphically, gives all the corner points along with the values of Z and identify which one is optimal. Give reasons.

(b)  Find the value of the slack and surplus variables at the optimal solution only

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An algorithm is a set of well-defined instructions in sequence to solve the problem.

Assessment Type Individual – Application Code
Length or Duration Four (4) Programs / Tasks
Subject Learning Outcomes SLO 2, SLO 3, SLO 4
Weighting 25%
Assessment Purpose
Many common problems solved by programmers include manipulation of numeric values and lists of numbers. In this assessment, you will use your understanding of the fundamental programming principles to solve four problems that involve numbers.
Assessment Item
For this assessment, you must submit four (4) algorithm descriptions and C++ programs, one for each task described in the brief below
Assessment Instructions
This assessment consists of four (4) tasks. You will need to prepare the following two components for each task.
Component 1: Algorithms
An algorithm is a set of well-defined instructions in sequence to solve the problem. An algorithm should not be computer code. Instead, the algorithm should be written in such a way that it can be used in similar programming languages to implement a solution in code.
Example: Find the largest of two numbers entered by the user.
Step 1: Start
Step 2: Declare variables a and b
Step 3: Get input from the user for a and b
Step 4: if a is greater than b Step 4.1: print a
Step 5: if b is greater than a Step 5.1: print b
Step 6: Stop
Component 2: C++ Coding
You will provide a C++ program for each of the four (4) questions given below that implements the algorithm you describe in Part 1.
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Assessment Tasks
Task 1 – Grading System
Write a program that allows the user to enter the mark scored within a range of 0 – 50. Given a positive value, do the following:
? If the given score is between 0 and 50 (0 = score = 50), then calculate the percentage (e.g., 100% for 50, 75% for 37.5, etc…). A percentage is a number or ratio that represents a fraction of 100.
? Calculate the grade from the percentage received. The grade will be: F, if the percentage is 0 – 59.99.
D, if the percentage is 60 – 69.99.
C, if the percentage is 70 – 79.99.
B, if the percentage is 80 – 89.99.
A, if the percentage is 90 – 100.
? If the given score is greater than 50, print “Score is greater than 50.”.
Example 1
Please enter your score: 32.6
You have passed with 65.2%, and received a grade D.
Example 2
Please enter your score: 10.5
You have failed with 21%, and received a grade F.
Example 3
Please enter your score: 50
You have passed with 100%, and received a grade A.
Example 4
Please enter your score: 74 Score is greater than 50.
Note: Inputs from the user are shown in bold blue.
Task 2 – Calculate Miles per Gallon
Write a program that allows a user to enter the litres of petrol consumed and the number of miles travelled by the car. Given a positive value for both litres of petrol and miles travelled, calculate the number of miles per gallon the car delivered. One litre of petrol is 0.264179 gallons.
You must show the output in three decimal places as shown in the example.
Example
Please enter the number of litres of petrol consumed: 15.5
Please enter the number of miles travelled: 75
Petrol Consumed: 15.500
Miles Travelled: 75.000
Miles per gallon: 18.316
Note: Inputs entered by the user are shown in bold blue.
Task 3 – Looping Through all Numbers from Start to Finish
Write a program that prompts the user to input two (2) integer values; a starting value and an end value. Loop through all the values from start to end, which should include the start and end values. For each value:
? If the number is divisible by both 3 and 5, print the word “ticktock”. For example for 15, 30, and 45 you would print “ticktock”.
? Else if it is a multiple of 3 (value % 3 == 0), print the word “tick”. For example, for 3, 6, and 9 you would print “tick”.
? Else if it is a multiple of 5 (value % 5 == 0) , then print “tock ”. For example, for 5, 10, and 20 you would print “tock”.
? Else if it is not divisible by 3 or 5, print the number. For example, for 1 you would just print ‘1’.
Example
Please enter a start value: 4
Please enter an end value: 15
tock tick
7
8 tick tock 11 tick 13 14 ticktock
Note: Inputs entered by the user are shown in bold blue.
Task 4 – Order Numbers
Write a program that prompts the user to input 3 integer values and print these values in ascending and descending order.
Example
Please enter the first number: 45
Please enter the second number: 12
Please enter the third number: 78
Ascending order:
12
45
78
Descending order:
78
45
12
Note: Inputs entered by the user are shown in bold blue.
Submission
All work must be submitted via the LMS, in the assignments section appropriate to this brief. Please ensure the above mentioned submission date and/or time are adhered to, or penalties may apply. You should submit a compressed (zip) file containing your C++ solutions folder. Within this file, each task must have its own file. Please ensure you use the following naming conventions for this submission.
Your zip file should be named using the following convention:
[Student_ID][Surname][First Name][SubjectCode][Assessment_#]
E.g.: 1234_Singh_Visha_PRG1002_Assessment_02
Each task within the zip file should follow this convention:
[Task_#][Student_ID] [SubjectCode][Assessment#]
E.g.: Task_1_1234_PRG1002_Assessment_02
Therefore, your zip file should consist of four (4) individual files, that each use the above mentioned naming format.
For more information on late submission, please see the Assessment Policy.
Academic Integrity
The integrity of the assessment process is fundamental for ensuring appropriate evaluation at AIT. All work submitted should be your own, and where additional resources are used, they must be referenced according to the Harvard style. Additionally, Turnitin is available in the LMS to test plagiarism in your writing.
For more information on academic integrity, please see the Academic Integrity and Academic Integrity Penalties Policies.
Appeals
Fair application of the assessment rubric, rules and guidelines should be administered for each assessment. If you feel an evaluation requires further consideration, you may be entitled to an appeal.
For more information on your right to an appeal, please see the Assessment Appeals Procedure and Policy.
Policies
For access to the policies mentioned above and related to education at AIT, please see the footer of the AIT website, and follow the link named Education Policies and Procedures.
Website: https://www.ait.edu.au
Assessment Rubric
Task Descriptor (F)
Fail (P) Pass (C) Credit (D)
Distinction (HD)
High Distinction
Ability to produce appropriate readable comments in code
15% No comments Major lack of comments make it difficult to
understand the code A few lines of code are commented on, but do not adequately explain what the code intends to accomplish Important lines of code are commented on and
are useful in understanding what the code accomplishes, or the code is overly commented on Comments are succinct, well-written and clearly explain what the code intends to
accomplish
Produces organised code with adequate indentation and correct naming conventions
10% No clear organisation in code Some organisation, indentation and use of correct naming conventions with some exceptions Organisation, indention, and use of naming conventions produces readable code with few exceptions Organisation, indention, and use of naming conventions produces readable code without exception Organisation, indention, and use of naming conventions produces readable code without exception and follows documented best practices supported by correctly cited resources
Ability to apply appropriate variables or
data structures (i.e., array)
15% Not able to identify required data type or data structure Able to identify required data type or data structure but they are not applied correctly and correct results are not produced Able to identify and apply required data type or data structure, and they are applied adequately, although correct
results are not produced Able to identify and apply required data type or data structure and produce partially correct results Able to identify and apply required data type or data structure and produce correct results
Ability to analyse problems and identify appropriate requirements
20% Unable to identify any input and output based on stated problems Able to identify only one input and output based on stated problems Able to identify correct inputs and outputs based on stated problems with some errors or missed cases for one problem Able to identify solutions, inputs and outputs for all stated problems Able to identify correct solutions, inputs and outputs for all stated problems including corner cases
Ability to identify and apply correct control structures (sequential,
selective, and loops)
30% Not able to identify required control structures Able to identity required control structures but does not apply them correctly Able to identify and apply required control structures but with limited evidence of correct results Able to identify and apply required control structures and produce correct results with few exceptions Able to identify and apply required control structures and produce correct results without exception
Ability to keep the program free from syntax,
logical and run-time errors
10% Unable to run the program due to syntax or runtime errors Able to create a program but with logic errors Able to create a program that runs without any logic errors Able to create a program that runs without any logical errors but that does not produce correct output Able to create a program that runs without any logical error and displays appropriate outputs
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how statistical techniques can solve business problems

Purpose of the assessment (with ULO Mapping) Students are required to show understanding of the principles and techniques of business research and statistical analysis taught in the course.
Weight 40% of the total assessments
Total Marks 40
Word limit N/A
Submission
Guidelines • All work must be submitted on Blackboard by the due date along with a completed Assignment Cover Page.
• The assignment must be in MS Word format only, no spacing, 12-pt Arial font and 2 cm margins on all four sides of your page with appropriate section headings and page numbers.
• Reference sources must be cited in the text of the report and listed appropriately at the end in a reference list using Harvard referencing style.
HI6007 STATISTICS FOR BUSINESS DECISIONS GROUP ASSIGNMENT
Assignment Specifications
Purpose:
This assignment aims at assessing students’ understanding of different qualitative and quantitative research methodologies and techniques. Other purposes are:

  1. Explain how statistical techniques can solve business problems
  2. Identify and evaluate valid statistical techniques in a given scenario to solve business problems
  3. Explain and justify the results of a statistical analysis in the context of critical reasoning for a business problem solving
  4. Apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package
  5. Justify and interpret statistical/analytical scenarios that best fit business solution
    Assignment Structure should be as the following:
    This is an applied assignment. Students have to show that they understand the principles and techniques taught in this course. Therefore, students are expected to show all the workings, and all problems must be completed in the format taught in class, the lecture notes or prescribed text book. Any problems not done in the prescribed format will not be marked, regardless of the ultimate correctness of the answer.
    (Note: The questions and the necessary data are provided under “Assignment and Due date” in the Blackboard.)
    Instructions:
    • Your assignment must be submitted in WORD format only.
    • When answering questions, wherever required, you should copy/cut and paste the Excel output (e.g., plots, regression output etc.) to show your working/output. Otherwise, you will not receive the allocated marks.
    • You are required to keep an electronic copy of your submitted assignment to re-submit, in case the original submission is failed and/or you are asked to resubmit.
    • Please check your Holmes email prior to reporting your assignment mark regularly for possible communications due to failure in your submission.
    Important Notice:
    All assignments submitted undergo plagiarism checking; if found to have cheated, all involving submissions would subject to penalties.
    Group Assignment Questions
    Assume your group is the team of data analytics in a renowned Australian company. The company offers their assistance to distinct group of clients including (not limited to), public listed companies, small businesses, educational institutions etc. Company has undertaken several data analysis projects and all the projects are based on multiple regression analysis.
    Based on the above assumption, you are required to.
  6. Develop a research question which can be addressed through multiple regression analysis. 2. Explain the target population and the expected sample size 3. Briefly describe the most appropriate sampling method.
  7. Create a data set (in excel) which satisfy the following conditions. (You are required to upload the data file separately).
    a. Minimum no of independent variables – 2 variables
    b. Minimum no of observations – 30 observations
    Note: You are required to provide information on whether you used primary or secondary data, data collection source etc.
  8. Perform descriptive statistical analysis and prepare a table with following descriptive measures for all the variables in your data set.
    Mean, median, mode, variance, standard deviation, skewness, kurtosis, coefficient of variation.
  9. Briefly comment on the descriptive statistics in the part (5) and explain the nature of the distribution of those variables.
  10. Derive suitable graph to represent the relationship between dependent variable and each independent variable in your data set.
    (ex: relationship between Y and X1, Y and X2 etc)
  11. Based on the data set, perform a regression analysis and correlation analysis, and answer the questions given below.
    a. Derive the multiple regression equation.
    b. Interpret the meaning of all the coefficients in the regression equation.
    c. Interpret the calculated coefficient of determination.
    d. At 5% significance level, test the overall model significance.
    e. At 5% significance level, assess the significance of independent variables in the model.
    f. Based on the correlation coefficients in the correlation output, assess the correlation between explanatory variables and check the possibility of multicollinearity.
    Marking criteria
    Marking criteria Weighting
    Developing a research question which can be addressed through multiple regression analysis. 5 marks
    Explaining the target population and the expected sample size
    4 marks
    Describing the most appropriate sampling method.
    4 marks
    Performing descriptive statistical analysis and review of the calculated values 4 marks
    Deriving suitable graph to represent the relationship between dependent variable and each independent variable in your data set. 4 marks
    Deriving multiple regression equation based on the regression output and interpretation of the regression coefficients
    6 marks
    Interpreting the calculated coefficient of determination.
    2 marks
    Assessing the overall model significance.
    4 marks
    Assessing the significance of independent variables in the model.
    3 marks
    Examining the correlation between explanatory variables and check the possibility of multicollinearity.
    4 marks
    TOTAL Weight 40 Marks
    Assessment Feedback to the Student:
    Marking Rubric
    Excellent Very Good Good Satisfactory Unsatisfactory
    Developing a research question which can be addressed through
    multiple regression analysis. Demonstration of outstanding knowledge on research question which can be solved with regression analysis. Demonstration of very good knowledge research question which can be solved with regression analysis. Demonstration of good knowledge on research question which can be solved with regression analysis. Demonstration of basic knowledge on research question which can be solved with regression analysis. Demonstration of poor knowledge on research question which can be solved with regression analysis.
    Explaining the target population and the
    expected sample size
    Demonstration of outstanding knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of very good
    knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of good knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of basic knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of poor knowledge on identifying target population for a research and a suitable sample size.
    Describing the most appropriate sampling method.
    Demonstration of outstanding knowledge on random and nonrandom sampling methods and selection of the best sampling method for a given case. Demonstration of very good knowledge random and non-random sampling methods and selection of the best sampling method for a given case. Demonstration of good knowledge on random and non-random sampling methods and selection of the best sampling method for a given case. Demonstration of basic knowledge on random and nonrandom sampling methods and selection of the best sampling method for a given case. Demonstration of poor knowledge on random and non-random sampling methods and selection of the best sampling method for a given case.
    Performing descriptive statistical analysis and
    review of the calculated
    values Demonstration of outstanding knowledge on descriptive
    measures
    Demonstration of very good
    knowledge on descriptive measures Demonstration of
    good knowledge on
    descriptive measures
    Demonstration of basic knowledge on
    descriptive measures
    Demonstration of poor knowledge on descriptive measures
    Deriving suitable graph to represent the relationship between variables Demonstration of outstanding knowledge on presentation of data using suitable chart types. Demonstration of very good
    knowledge on presentation of data using presentation of data using suitable chart types. Demonstration of good knowledge on presentation of data using suitable chart types. Demonstration of basic knowledge on presentation of data using suitable chart types. Demonstration of poor
    knowledge on presentation of
    data using suitable chart types.
    Deriving multiple regression equation based
    on the regression output.
    Demonstration of outstanding knowledge on regression model
    estimation and interpretation Demonstration of very good
    knowledge on regression model
    estimation and interpretation Demonstration of good knowledge on regression model estimation and interpretation Demonstration of basic knowledge on regression model
    estimation and interpretation Demonstration of poor knowledge on regression model estimation and interpretation
    Interpreting the calculated coefficient of
    determination.
    Demonstration of outstanding knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of very good knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of good knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of basic knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of poor knowledge on coefficient of determination calculation and interpretation of relationship between variables
    Assessing the overall model significance.
    Demonstration of outstanding knowledge on model significance Demonstration of very good knowledge on model
    significance Demonstration of good knowledge on model significance Demonstration of basic knowledge on model significance Demonstration of poor
    knowledge on model significance
    Assessing the significance of independent variables in the model.
    Demonstration of outstanding knowledge on significance of independent variables. Demonstration very good
    knowledge
    significance independent variables. of
    on of Demonstration of good knowledge on significance of independent variables. Demonstration of basic knowledge on significance of independent variables. Demonstration of poor knowledge on significance of independent variables.
    Examining the correlation between explanatory
    variables and check the possibility of
    multicollinearity.
    Demonstration of outstanding knowledge on correlation coefficient calculation, interpretation of relationship between variables and assessing multicollinearity. Demonstration very good knowledge on correlation coefficient calculation, interpretation relationship between
    variables and assessing multicollinearity. of
    of
    Demonstration of good knowledge correlation coefficient calculation, interpretation of
    relationship
    between variables and assessing multicollinearity. Demonstration of basic knowledge on correlation coefficient calculation, interpretation of
    relationship between
    variables and assessing multicollinearity. Demonstration of poor knowledge on correlation coefficient calculation, interpretation of relationship between variables and assessing multicollinearity.
    Academic Integrity
    Holmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integral to maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasks need to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integrity breaches. If you have any questions about Academic Integrity issues related to your assessment tasks, please consult your lecturer or tutor for relevant referencing guidelines and support resources. Many of these resources can also be found through the Study Sills link on Blackboard.
    Academic Integrity breaches are a serious offence punishable by penalties that may range from deduction of marks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.
    Table 1: Six categories of Academic Integrity breaches
    Plagiarism Reproducing the work of someone else without attribution. When a student submits their own work on multiple occasions this is known as self-plagiarism.
    Collusion Working with one or more other individuals to complete an assignment, in a way that is not authorised.
    Copying Reproducing and submitting the work of another student, with or without their knowledge. If a student fails to take reasonable precautions to prevent their own original work from being copied, this may also be considered an offence.
    Impersonation Falsely presenting oneself, or engaging someone else to present as oneself, in an in-person examination.
    Contract cheating Contracting a third party to complete an assessment task, generally in exchange for money or other manner of payment.
    Data fabrication and falsification Manipulating or inventing data with the intent of supporting false conclusions, including manipulating images.
    Source: INQAAHE, 2020

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Law enforcement professionals and investigators use digital forensic methods to solve crimes every day.

Q#1. Law enforcement professionals and investigators use digital forensic methods to solve crimes every day. Locate one current news article that explains how investigators may have used these techniques to solve a crime. Explain the crime that was solved and the methods used to determine how the crime was committed. Some examples of crimes solved may include locating missing children, finding criminals who have fled the scene of a crime, or unsolved crimes from the past that have been solved due to the use of new techniques (such as DNA testing).

Your written assignment should be 3-4 paragraphs in your own words, and should include a reference citation for your source of information.

Q#2. Write a brief reflection on this course and on how it will aid your professional career and development.

  • How will this course impact your professional objectives?
  • What were the major work-related lessons that you learned?
  • How will this course prepare you for further studies related to your chosen professional career?

Note: Please answer both the questions in sperate documents with following references.

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Entrepreneur: develops a concept to solve the specific business challenge

 ASSIGNMENT INSTRUCTIONSAssessment Coursework: The New Venture Business Pitch
Promotional video and accompanying boardroom business pitch to angel investors
Assessment code: 011
Academic Year: 2020
Semester: 1
Module Title: Strategic Marketing and the New Venture
Module Code: MOD 6894
Level: 7
Weighting: 100%
Word Limit: Equivalent to 3000 words
Assessed Learning Outcomes 1 – 4
Submission Deadline :
This assignment must be presented in week 11 or 12. ( Exact dates to be agreed with the student during this timeframe.)
WRITING YOUR ASSIGNMENT
• You must use the Harvard referencing system.
• Your work must indicate the number of words you have used. Do not exceed the maximum number of words specified above; all assignments which do so will be penalised. The penalty will be the deduction of marks at the Marker’s judgement.
• Assignment submissions are to be made anonymously. Do not write your name on your work.
• Where the assignment comprises more than one task, all tasks must be submitted in a single document.
• You must number all pages.
ASSIGNMENT INTRODUCTION
In developing a new business venture, the process begins with recognising an opportunity stemming from a specific business problem and creating a business idea that articulates it.
For the first steps, the entrepreneur:
(1) develops a concept to solve the specific business challenge;
(2) fashions a narrative that conveys the meaning of the new venture, and
(3) prepares a presentation that tells the story and explains the concept of potential
stakeholders: investors, partners, employees and customers
After testing the business concept with stakeholders, the entrepreneur will develop a complete business plan.
Final Assessment: weighting 100%
Individual Assessment
Task: The New Venture Promotional Video and Boardroom Angel Investor Pitch
To help develop strategic new venture skills you are required to undertake the entrepreneurial process of environmental scanning; business opportunity recognition; ideation; concept development; together with, producing a strategic marketing audit, and a clear understanding of the requisite fundraising requirements.
Operating individually you are required to identify, outline and evaluate possible commercial opportunities for a specific new business venture and then articulate the opportunities in a six-minute new venture promotional video.
The new venture promotional video will be presented in front of academics and angel investors. This will take place in a boardroom scenario.
The breakdown of your presentation and pitch is as follows.
Introduction to your new venture concept. This will be a 5-minute verbal introduction.
A 10-minute video pitch to investors.
A 5-minute Question and Answer session with angel investors
Total 100%
Points to consider
In your angel Promotional Video and Investor Pitch you should:
• Identify the problem and outline the commercial opportunity to solve it
• Assess the business opportunity. (This is where you undertake a feasibility
analysis)
• Identify and explain the commercial model/strategy, based on the assessment of the
business opportunity
Your angel investor pitch and promotional video may be structured around all three elements above, or you can devise an individual approach.
NB Never invest in a business you cannot understand. Warren Buffett
Suggested structure: NB This is a proposed structure – you should be aware that you will NOT have the time in your presentation to cover every element of each point ( 1-6) in-depth. However, you MUST refer to some parts of sections 1-6.
1. The new venture opportunity
Create or identify an opportunity
Discover the business idea
Outline the problem, the idea and the solution
Evaluate the ‘problem’ and discuss the new venture opportunity that may address it,
showing an understanding of the specific market and the potential customers
Outline and evaluate new venture typologies
Nurture creativity, ideation and innovation
10 marks
2. New venture opportunity assessment
Understand the sector and the market
This is your feasibility analysis. In this section, assess the feasibility of the business
idea in relation to the following: sector/market, product/service, and the organisation
and its management.
Identify the market/sector
Market/industry lifecycle, concentration, geographic extent
Estimate market size
Identify competitors
SWOT/TOWS analysis
Outline and evaluate key trends: technology, regulatory, societal, economic,
environmental
Outline and evaluate future scenarios
10 marks
3. Business model/strategy
Market segments and value proposition
Structure of the business model
Based on your assessment of the business opportunity, explain the business model/strategy that you will use to realise the opportunity.
What are the key factors in determining if your idea is a viable business opportunity? Is this just an idea, or a real business opportunity? Has the new product, or service commercial potential?
Characteristics of a good business model
The new venture creation model
The business model canvas
Support with appropriate business models: generic strategy, competitive advantage
critical success factors
Niche and internet models
10 marks
4. What would be the strategic marketing approach?
Include a detailed breakdown of the marketing strategy.
This should include:
Brand, USP, marketing mix
Include: market research, website, social media
Emphasis on creativity
5. Creating your value proposition and brand/ communicating your value proposition
Find the first customers/target customers
Develop sales skills
Communications media and social media.
Create awareness
Advertising
Price and buyer decisions
Value proposition
Differentiation through branding
Branding your values
Building the brand
The customer journey
Developing a communication campaign
20 marks
6. Financial resources
What financial investment is required and where might these early-stage funds
be sourced? Selecting the right sort of finance.
What banks/investors/VCTs/business angels look for
The funding ladder
Angel and venture capital finance
Crowdfunding
FinTech
What tax breaks are available for the start-up business?
20 marks
7. An effective introduction to a new venture concept
Pitch presentation – content, style, professionalism, creativity.
The ability of performance in Q and A follow session.
20 marks
Please make sure you follow the structure of this assessment as is clearly set out in this brief.
10 marks – Problem, Solution, Business idea
10 marks – Review of the industry you are going to operate in, key competitors, your Niche.
10 marks- Models , eg, Generic Strategy, Ansoff, SWOT, PESTLE
30 marks- Value proposition, brand, USP ,Marketing Mix, Advertising, differentiation, communi-cations campaign
20 marks- Finances – Where from, how much, what it will be spent on
20 marks- Creativity- You have 20 minutes to impress us!. Convince us!. Energy/ enthusiasm, presentation skills, digital recording, feasibility, screenshot of website, advert,
NB – You must include and apply models and theories taught on this module- NEW VENTURE CREATION MODEL. BUSINESS CANVAS MODEL, TYPOLOGIES, VALUE PROPOSITION.
Assessment Criteria
Verbal introduction 5 minutes
Digital Presentation 10 minutes
Q and A. 5 minutes
• You should undertake the Final Assessment as an individual new venture member
• The ten-minute promotional video must identify, describe and evaluate your chosen entrepreneurial new venture
• The new venture promotional video must demonstrate: clarity of expression, a well-written script/pitch deck, professional production values, flair, and creativity
• Identify and outline the potential new venture for a specific enterprise and analyse and critique the chosen new venture idea
• Identify and evaluate the feasibility, marketing, strategic, financial and operational issues
• Articulate with respect to a wide range of academic ideas, theories, and concepts
• Defend the promotional video to an angel investor and/or academic
• Provide a bibliography or reference list containing at least 12 sources that you have independently researched. This can be incorporated in your video presentation
Task Purpose Audience Tone Structure
Business Concept Report • Answer a question
• Present an argument based on facts
• Develop Cartesian logic • Peers
• Academic community
• Business angels • Factual
• Concise
• Logical flow
• Clear structure
• Active voice
• Intro
• Body
• Conclusion
• Headings and bullet points
• Bibliography
Assessment Marking Guide
Task:
A basic answer (40 – 49%) will identify main issues and demonstrate knowledge of strategic marketing and new venture innovation theories at a superficial level and discuss how this may be applied to sustain a business. It may demonstrate difficulties with structure. The expression may lack maturity. Answers in this category will often adopt a say-all-you-know-about-the-topic approach and may include little or no application.
A satisfactory answer (50-59%) will determine the majority of issues and demonstrate knowledge of strategic marketing and innovation theories and discuss how this is applied to sustain a new venture business. There are some omissions in content as well as some inconsistencies in application and inaccuracies in expression. The structure will be largely logical.
A good answer (60-69%) will adopt a logical structure and identify pertinent strategic marketing theories and discuss how this may be applied to sustain a business. Arguments will be supported by relevant contemporary innovation, marketing and strategy theories, concepts and paradigms. Omissions and inaccuracies will be minor.
An excellent answer (70%+) will adopt a logical structure and identify pertinent with depth, flair, and imagination and discuss how this may be applied to sustain a business. Arguments will be supported by relevant contemporary academic theories and pertinent business knowledge. The relevant new venture theory will be critiqued and applied before reaching a balanced conclusion(s).
a.r.u. GENERIC ASSESSMENT CRITERIA AND MARKING STANDARDS LEVEL 7
Mark Bands Outcome Generic Learning Outcomes (GLOs) (Academic Regulations, Section 2)
Knowledge & Understanding Intellectual Practical, Affective and Transferable Skills
Characteristics of Student Achievement by Marking Band 90-100% Achieves module outcome(s) related to GLO at this level Exceptional analysis of key issues/concepts/ethics with very clear originality and autonomy. Exceptional development of conceptual structures and argument making an exceptional use of scholarly conventions. Demonstrates independence of thought and a very high level of intellectual rigour and consistency. Work pushes the boundaries of the discipline and may be considered for external publication Exceptional analysis of key issues/concepts/ethics. Exceptional development of conceptual structures and argument, making consistent use of scholarly conventions. Exceptional research skills, independence of thought, an extremely high level of intellectual rigour and consistency, exceptional expressive/professional skills, and substantial creativity and originality. Exceptional academic/intellectual skills. Work pushes the boundaries of the discipline and may be considered for external publication
80-89% Outstanding analysis of key issues/concepts/ethics with clear originality and autonomy. Outstanding development of conceptual structures and argument making an exemplary use of scholarly conventions. Demonstrates independence of thought and a very high level of intellectual rigour and consistency Outstanding analysis of key issues/concepts/ethics. Very high level development of conceptual structures and argument, making consistent use of scholarly conventions. Outstanding research skills, independence of thought, a high level of intellectual rigour and consistency, outstanding expressive/professional skills, and considerable creativity and originality. Exemplary academic/intellectual skills
70-79% Excellent analysis of key issues/concepts/ethics. Excellent development of conceptual structures and argument making excellent use of scholarly conventions. Demonstrates independence of thought and a high level of intellectual rigour and consistency Excellent analysis of key issues/concepts/ethics. High level development of conceptual structures and argument, making consistent use of scholarly conventions. Excellent research skills, independence of thought, a high level of intellectual rigour and consistency, excellent expressive/ professional skills, and considerable creativity and originality. Excellent academic/intellectual skills, and considerable creativity and originality
60-69% Good analysis of key issues/concepts/ethics. Development of conceptual structures and argument making consistent use of scholarly conventions Good analysis of key issues/concepts/ethics. Development of conceptual structures and argument, making consistent use of scholarly conventions
50-59% Satisfactory knowledge of key issues/ concepts/ethics in discipline. Descriptive in parts but some ability to synthesise scholarship and argument. Minor lapses in use of scholarly conventions Satisfactory knowledge of key issues/ concepts/ethics in discipline. Descriptive in parts but some ability to synthesise scholarship and argument. Minor lapses in use of scholarly conventions
40-49% A marginal pass in module outcome(s) related to GLO at this level Basic knowledge of key issues/concepts/ethics in discipline. Generally descriptive, with restricted synthesis of existing scholarship and little argument. Use of scholarly conventions inconsistent Basic knowledge of key issues/concepts/ethics in discipline. Generally descriptive, with restricted synthesis of existing scholarship and little argument. Use of scholarly conventions inconsistent.
30-39% A marginal fail in module outcome(s) related to GLO at this level. Possible compensation. Sat-isfies qualifying mark Limited knowledge of key issues/concepts/ethics in discipline. Largely descriptive, with restricted synthesis of existing scholarship and limited argument. Limited use of scholarly conventions. Limited research skills impede use of learning resources and problem solving. Significant problems with structure/accuracy in expression. Team/Practical/ Professional skills not yet secure. Weak academic/ intellectual skills. Limited use of scholarly conventions
20-29% Fails to achieve module outcome(s) related to this GLO. Qualifying mark not satisfied. No compensation available Little evidence of knowledge of key issues/concepts/ethics in discipline. Largely descriptive, with little synthesis of existing scholarship and little evidence of argument. Little evidence of use of scholarly conventions. Little evidence of research skills, use of learning resources and problem solving. Major problems with structure/ accuracy in expression. Team/Practical/Professional skills virtually absent. Very weak academic/intellectual skills. Little evidence of use of scholarly conventions
10-19% Inadequate knowledge of key issues/concepts/ethics in discipline. Wholly descriptive, with inadequate synthesis of existing scholarship and inadequate argument. Inadequate use of scholarly conventions. Inadequate use of research skills, learning resources and problem solving. Major problems with structure/accuracy in expression. Team/Practical/Professional skills absent. Extremely weak academic/intellectual skills. Inadequate use of scholarly conventions
1-9% No evidence of knowledge of key issues/concepts/ethics in discipline. Incoherent and completely but poorly descriptive, with no evidence of synthesis of existing scholarship and no argument whatsoever. No evidence of use of scholarly conventions. No evidence of use of research skills, learning resources and problem solving. Incoherent structure/accuracy in expression. Team/Practical/Professional skills non-existent. No evidence of academic/intellectual skills. No evidence of use of scholarly conventions
0% Awarded for: (i) non-submission; (ii) dangerous practice and; (iii) in situations where the student fails to address the assignment brief (eg: answers the wrong question) and/or related learning outcomes