Provide details of all customers you expect to sell to over the forecast period, and how much you expect to sell to each.
Give market research data that support or verify these forecasts. This is particularly important for ventures in the retail field, for example, when names of customers are not necessarily known in advance.
Prepare a sales forecast by value and volume for each major product group (eg for a hotel: bedrooms, restaurant, off-licence) throughout the whole period of the business plan – eg up to five years (monthly for years one and two and quarterly thereafter).
Support your forecast with examples from other similar ventures started recently, and drawing from company accounts and other sources.
Give an estimate of the likely market share that these forecasts imply.
CHAPTER 17(Pic uploaded)Using the cash-flow spreadsheet given above:
Construct a cash-flow statement for the pre-trading period leading up to ‘opening’ day.
Construct a cash-flow statement for years 1, 2, 3, 4 and 5 assuming that you achieve the level of sales in your sales forecast.
Remember you should produce years 1 and 2 monthly and years 3, 4 and 5 quarterly. Do not forget to state the key assumptions that you have made in arriving at your figures. CHAPTER 18(Pic uploaded)Using the spreadsheet given above:
Construct a profit and loss account for years 1, 2, 3, 4 and 5, assuming you achieve the level of sales in your sales forecast. Include a statement of key assumptions made.
Construct a four-line summary (sales, gross profit, operating profit and profit before tax) of your profit and loss accounts for the full five years (annually).
Carry out a sensitivity analysis, noting by how much each of the following must change seriously to affect the apparent viability of your business plan:
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Day 3
Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words:
Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components?
The model can be additive or multiplicative.When we do use an additive model? When do we use a multiplicative model?
The following list gives the gross federal debt(in millions of dollars) for the U.S. every 5 years from 1945 to 2000:
Year Gross Federal Debt ($millions)
1945 260,123
1950 256,853
1955 274,366
1960 290,525
1965 322,318
1970 380,921
1975 541,925
1980 909,050
1985 1,817,521
1990 3,206,564
1995 4,921,005
2000 5,686,338
Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe?
Use Excel to fit a linear trend and an exponential trend to the data. Display the models and their respective r^2.
Interpret both models. Which model seems to be more appropriate? Why?
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Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe?
Amazon.com has become one of the most successful online merchants. Two measures of its success are sales and net income/loss figures. The data can be found in the file, Amazon.
Use Excel to complete the following:
Construct a scatter plot for Amazon’s net income/loss and sales figures for the period 1995–2015.
Determine a polynomial model, including its order (or degree), for Amazon’s net income/loss and sales figures.
Use Word to complete the following:
Explain your process of determining the polynomial model
Submit your work in a Word document and attach your Excel file.
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Modeling can be a very difficult topic and is as much an art as a science. When making decisions or solving business problems it can be helpful to construct a diagram that can aid a decision maker with a model of a situation even solving it. In this assignment you will construct diagrams of time-proven models and methodologies related to optimization, search methods, heuristic programming, and simulation.
In many cases, results of predictive models or even optimization models get simplified as rules that are then implemented in other applications. You will also analyze how your models can be supported by applications of automated rule systems and expert system technologies.
Directions
In a 5–6 page paper (including graphics), create either an influence diagram or a flow-diagram for the following:
Construct an analytical model for a linear programming problem.
Construct an analytical model using the analytic hierarchy process.
Formulate a model for a heuristic search method.
Formulate a model using a simulation method for decision support.
In your paper you should create and explain a business situation for each model, develop a graphic, and discuss the relevant aspects of the model. You should conclude your paper with a discussion on how automated rule systems and expert system technologies can be used in your models.
Submission Requirements
As you complete your assignment, be sure your paper meets the following guidelines:
Written communication: Writing is free of errors that detract from the overall message.
Scholarship: Use at least four outside sources to support your main points and analysis.
APA formatting: All resources and citations should be formatted according to current APA style and formatting guidelines.
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Construct an analytical model for a linear programming problem.
Project rollout begins after a project has been implemented, tested, and judged stable and functional enough to be moved into production. The project rollout process comprises specific steps that must be scheduled carefully to enable the project to hit production deadlines and meet business expectations.
For this assignment, you will create an implementation project plan, which outlines the steps involved in implementing your project. This document is sometimes called a work-back schedule because you begin with the date that your project needs to go live, and then work back from there to determine what needs to be done when.
You will also conduct a post-mortem on the work you have submitted to date. Post-mortem (from the Latin for “after death,” but referring to it in the context of business) is the analysis of a project’s process and results conducted by key project stakeholders after the project has been moved into production, which means it’s functionally complete. The goal of a post-mortem is to identify what went right and what went wrong post-implementation so that project managers can apply these lessons learned to future projects.
For this three-part assignment, you will:
Construct a work-back schedule that presents the steps involved in implementing your project.
Construct a post-mortem using the template on the work you have submitted to date in this course.
Create updated project documents based on the results of your post-mortem.
Create a project implementation plan for your project based on the example document. You may use Microsoft Word or other software to create your project implementation plan.
Complete the Post-Mortem template based on your experiences with completing the course project over the last five weeks.
Update the project documents you have submitted thus far in the course based on your completed post-mortem.
Submit your project implementation plan, post-mortem, and updated project documents
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AT3 Template (2000 words) You should insert tables, charts, and graphs into this document via cut and paste, snipping tool etc. All appendices should be included after the text. Everything is based on Narrative Writing. (Narrative Unit attached. Construct: The construct that I will be teaching is Narrative writing. Curriculum link: Age group/class of target students: Year 5 Short description (100 words) of context: Part One – Identifies evidence-based strategies for use in your teaching (1250 words) Criteria 1. Describes the evidence base for strategy/ies Criteria 2. Discusses the credibility of the evidence base Criteria 3. Explains the suitability of the strategy/ies to cater for the range of Zone of Proximal Development groups Criteria 4. Discusses the influence of context on the selection of evidence-based strategies Part Two – Evaluates the impact of your teaching (1250 words) Criteria 5. Interprets student growth data to inform evaluation Criteria 6. Interprets other sources of evidence (e.g., student attitude, teacher workload, school resourcing) Criteria 7. Makes inferences by combining evidence of student growth with other sources of evidence Criteria 8. Discusses the impact of your teaching Appendix A: Construct including curriculum link and source (i.e., set of rubrics, progression)
Write level descriptions for the construct. These can be based on one or more of the following: research literature, a Guttman analysis, a pairwise comparison, an adapted taxonomy, work samples. If you have taught the construct many times, you may also use experience to describe the construct levels.
Map the ZPD of your students to the levels in the construct (this could be on a Guttman chart). Appendix B: Explanatory documents related to the teaching plan (summary of teaching plan
Document your teaching plan (this can be summarized in one page).
Implement your teaching plan (ideally eight weeks of teaching but can be less). At the completion of your teaching,
use formal and/or informal assessment methods to collect evidence of student proficiency on the construct. Appendix C: Evidence of student growth (template from Week 6, Activity 6.2) Appendix D: Summary of other evidence (in a table)
Appendix E: Reference list detailing literature/videos etc. cited
This is how Guttman chart is made… I need 2 Guttman man chart that shows post teaching and pre teaching… showing the students growth… the 3-color box is that student’s area of need. That where they are at. Make a Guttman Chart for narrative writing for Criteria Appendix A (Example attached) 1.1.1 Easy criteria and at the end are the hardest criteria.
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The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:
FloorArea: square feet of floor space
Offices: number of offices in the building
Entrances: number of customer entrances
Age: age of the building (years)
AssessedValue: tax assessment value (thousands of dollars)
Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.
Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?
Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?
Construct a multiple regression model.
Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?
Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?
What is the final model if we only use FloorArea and Offices as predictors?
Suppose our final model is:
AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x Offices
What wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
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Let’s define on the set {1, 5, 7, 10, 12} the relation is such that if and only if the number is divisible by 4 without remainder. Construct the graph of this binary relation. Check whether is reflexive, irreflexive, connected, symmetric, asymmetric, transitive, negatively transitive binary relation. Does this binary relation satisfy semitransitivity and strong intervality condition? Explain your answer (prove, if it is true, or provide a counterexample, if it not true).2. Prove that for any binary relation binary relations and are symmetric.3. Define the class (linear, weak, partial, interval order or semiorder) of these four binary relations from the picture below. If this binary relation belongs to several classes, write all of them.
4. A binary relation on a set of 6 elements contains 33 pairs. Can this binary relation be: a) symmetric, b) transitive? Prove or provide a counterexample.
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Assignment details: Construct an epidemiological triad for an infectious disease. Define its common agent, reservoir, portal of exit, means of transmission, portal of entry, and host (the chain of infection). How long is its incubation period? Does it have a common source of outbreak? Does the CDC have active surveillance on this infectious disease? Does herd immunity apply? Is it pandemic? Do this over influenza
Common agent: influenza has common antiviral agents
Reservoir: The common reservoir of influenza virus A are the wild birds mostly shorebirds, ducks, and geese.
Portal of exit: influenza infectious agent uses a similar portal to get into and out of the host. It mostly uses the respiratory tract of the host and gets into the respiratory tract of the new host. It exits the respiratory tract by means of coughing and sneezing
Means of transmission: the influenza virus mode of transmission are the hands, surfaces, and droplets where they use it to gains entry.
Portal of entry: it refers to the way the pathogen gets admission into a susceptible host, for instance, the pathogen exits the respiratory tract of its source and gets into the respiratory tract of the new host.
Host (the chain of infection): during the circulation of the pathogen in humans, the virus usually gets accumulated into points of mutation in HA and NA which gives provision of it to escape the host immunity.
Incubation period: the incubation period of flu is generally between one and for days though it usually varies from one individual to the other. Therefore, the average incubation period for influenza is for two days.
Common sources of the outbreak: influenza virus usually have a common source epidemic where the period of exposure is relative, not long and in many instances occur within one incubation period.
CDC active surveillance: the influenza virus infections cannot be identified as a CDC agent as it is not nationally notifiable though it is reported in some countries. The local health institutions are required to follow strict guidelines on reporting its outbreaks.
Application of herd immunity: herd immunity applies to influenza as its notion is that when many people get the influenza vaccine, it assists in protecting the entire population. This is due to the reason that there are fewer infected people to transmit this contagious infection.
Is it epidemic: an influenza pandemic can be referred to as an epidemic of an influenza virus which generally spreads globally on a broader scale. The virus,…………………………………………………………………………………………………………………………………………………………………………………………………………………………………,………………………………………………………………………………………………………………………………………………………………………………………………………………………………… epidemiological triad for an infectious disease
Students will construct null and alternative hypotheses for mean and proportion.
Step 1.
Review Sample Post.
Step 2.
Pick one quantitative and one qualitative question from your survey from the Project.
Step 3.
Research your two questions to find your null values. Make sure you cite the sources used. If you cannot find null values, you can estimate these values. Please state that these are estimates in your post. Your estimations should be reasonable and not equal to your sample statistics.
Step 4.
For the quantitative question, formulate a null and alterative hypotheses using the mean (chapter 10). Make sure to state what your claim is; this will be based on the comparison of the null value and your sample mean. Make sure your claim (H1) does not contradict the comparison of these values. Include your sample mean found in the project. This should NOT be the value in your hypothesis test.
Step 5.
For the qualitative question, formulate a null and alternative hypotheses using a proportion. You will need to pick one category from your question and formulate your hypotheses about that category. Make sure to state what your claim is; this will be based on the comparison of the null value and your sample proportion. Make sure your claim (H1) does not contradict the comparison of these values. Include your sample proportion found in the project. This should NOT be the value in your hypothesis test.
Step 6.
Write your post in the discussion area. The title of your post should be the theme of your survey. Your post must include the following:
A brief summary of what your survey was about (2 points). Your quantitative question and the null and alternative hypotheses for mean. (4 points) Your qualitative question and the null and alternative hypotheses for proportion. (4 points)
Rubric –
10 points total
Sample Post –
Note: For the purpose of this activity, I am using the “Sample Project “A” Grade” found in Project under Unit 2 in Content. You will need to use questions from your Project.
The survey conducted was on Fourteeners in Colorado. Two of the questions were: “How many fatalities have there been while climbing you?” (Quantitative) and “What is the most common cause of death while climbing you?” (Qualitative).
For the first question, “How many fatalities have there been while climbing you?” the sample mean was found to be 3.67. It can be hypothesized that the average number of fatalities is less than 5. The null and alternative hypotheses would be:
Ho: µ = 5
H1: µ < 5 (claim)
Note: Since our sample mean of 3.67 is LESS than 5, we can test the above claim. We could NOT test the claim that the population mean is GREATER than 5 because 3.67 is NOT greater than 5.
For the second question, “What is the most common cause of death while climbing you?” it can be hypothesized that the proportions of deaths resulting from falls is greater than 0.50. The sample proportion found was 0.67 of deaths resulted from falls. The null and alternative hypotheses would be:
Ho: p = 0.50
H1: p > 0.50 (claim)
Note: Since our sample proportion is 0.67 is GREATER than 0.5, we can test the above claim. We could NOT test the claim that the population proportion is LESS than 0.5 because 0.67 is NOT less than 0.5. Make sure you are using proportions and not percent. The category picked is “falls” and the other categories were not included in the wording of the hypotheses.
Here are my survey questions:
Theme: Social Media Users
Qualitative Question 1: What is your gender? Choices: Male, Female, Other.
Qualitative Question 2: What is your ethnicity? Choices: White, Hispanic, Black, Native American, Asian, Other.
Qualitative Question 3: What is the highest level of education you have completed? Choices: No schooling completed, high school diploma, certificate, associate degree, bachelor’s degree, other.
Quantitative Question 1: What is your age?
Quantitative Question 2: How many minutes do you spend on social media a day? Quantitative Question 3: How many hours do you work a week?
See details on Construct null and alternative hypotheses
This survey was conducted on Fourteeners, Colorado and the theme of the survey was to establish the number of fatalities that occurs during climbing and the main cause of these fatalities. The survey used both qualitative and quantitative questions to test both null and alternative hypothesis(Sulivan, 2017). The findings from the survey indicated that a means of 3.67 fatalities occurs during climbing. Further findings indicated that the most common cause of these fatalities is falls. This is clear indication that most of the climbers dies as a result of falls. It is recommended that climbers should extra precautionary measures to protect themselves from falling in order to reduce the number of fatalities.
Quantitative question
The qualitative question that survey sort to answer was “How many fatalities have been there while you were climbing? This question was the main question that respondents were given to answer. After analysis of the responses, the findings indicated that a means of 3.67 fatalities occurs during climbing. Based on the null and alternative hypothesis which were set at:
Ho: µ= 5
H1: µ< 5
The findings indicated that the mean of fatalities that occurs during climbing is less that 5. This means that null hypothesis was rejected because the population means of the fatalities was 3.67.………………………………………………………………………………………………
