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Statistics in Quantitative Methods

RSCH 600 Term Paper [2 parts]

TERM PAPER PART 1: INTRODUCTION, REVIEW OF LITERATURE, PROBLEM STATEMENT, RESEARCH QUESTIONS

You need to conduct some research related to your own interests or to serve the interests of some organization (employer/client/sponsor). Before you start writing a formal proposal, you (or your employer/client/sponsor) would like to gather some information about the problem as well as understand its importance.

Choose your research topic thoughtfully, as this assignment will be part of your term paper.

HERE ARE THE KEY PARTS OF THIS TERM PAPER (PART 1):

Title of your research

Make it intriguing – (BUT LESS THAN 12 CHARACTERS)

Introduction/Background

Provide a brief description of what the proposed research topic is about, why is it important and how you came to be interested in it.

Literature Review

The purpose of this assignment is to develop skills in finding and analyzing valid literary resources for your research. The review should be written in an integral / synthetic style, and NOT as an annotated bibliography.

This part of your research proposal should be roughly 7-9 pages (excluding cover page and references) and written in paragraphs, report format. All citations and references for this course are to be done in the APA style.

Please note: Use in-text citations to reference all ideas, concepts, text, and data that are not your own. If you make a statement, back it up with a reference!

·         Research a minimum of 15 relevant business-related literature sources (focus on material available in digital format only for this course). Carefully choose your 15 “keepers” that are clearly related to your study. (Note: you might need to find 30 to “keep” only 15).

·         Identify major common themes encountered in the selected literature sources.  For each theme, create its own subsection within the literature review. 

·         For each theme / subsection of the literature review, explain the opinions of the authors and show their similarities, differences, methods of acquisition of data, methods of data analysis and other pertinent information. State how the reviewed research results relate to your proposed study.

·         Identify the gaps in the literature and explain what needs to be done to move forward in your research.

Statement of the Problem

Detail the problem that you are considering. Explain:  

·         How are you defining and delimiting the specific area of the research?

·         What is the gap that will be addressed by this research?

·         What it is that you hope to learn by conducting this research?

·         Discuss the anticipated outcomes and benefits to the researcher, the organization, or society.

Research Questions

Provide focused research questions for your planned research. Also provide a back-up question in case the first one does not pan out. Make sure you address the following questions:

·         What is the scope of your research?

·         Is the scope of your research question reasonable?

please Note: the research question should be limited to 2 questions only 

TERM PAPER PART 2: Statistics in Quantitative Methods

The purpose of the assignment is to develop skills associated with selecting and applying methods for data collection, stationary and time series data analysis and hypothesis testing.

Data collection Identify the sources that will offer the information that you need to answer the research question (journals, books, internet resources, government documents, people, etc). 

1.    What data do you plan to acquire to answer your research question? Why? What kinds of instruments, variables, materials, or sources will you use (i.e. will you use observations, surveys, interviews, case studies, focus groups, experiments, documents, media, data base searches, etc.)? If you plan to use mixed methods, will they be sequential or concurrent? Why?

2.    List the kinds of data/information that you plan to collect (e.g. testimonials, statistics, business/government reports, other research data, audio/video recordings, etc.). Also, consider two or three alternative ways you could gather data/information for this research.

3.    If you plan to use research participants, where will they come from? How will they be sampled? How many participants will you require?

If you are not using research participants, who will you use as the target audience of your data? Who would most benefit from your research, and why?

4.    What ethical issues will your research project present? What biases might you bring to the research and how will you address that bias?

Analysis of stationary data

1.    What method will you choose to analyze the stationary data that you plan to collect?

2.    Has this method of data analysis been applied in similar situations by other authors?  Include references and illustrations from the literature to show the advantages and disadvantages of the method.

3.    Attach a worked-out example of application of the method using simulated or previously published data and explain it.

4.    How will you validate your findings/conclusions?

Testing hypotheses

1.    State your hypotheses.

2.    Explain how to test your hypotheses and justify the choice. 

3.    Have similar hypotheses been tested by other authors?  Include references and illustrations from the literature. Attach a worked-out example of hypothesis testing using simulated or previously published data. 

4.    How will you validate your findings/conclusions?

Analysis and forecasting of time series

1.    Define the time series data you plan to gather related to your topic.

2.    What method will you choose to analyze and forecast the time series data that you plan to collect?

3.    Have these methods of data analysis and forecasting been applied in similar situations by other authors?  Include references and illustrations from the literature to show their advantages and disadvantages.

4.    Attach a worked-out example of analysis and forecasting using simulated or previously published data and explain it. 

5.    How will you validate your findings/conclusions?

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Web server statistics for a computer science department

This data set is a sample of Web server statistics for a computer science department. It contains the following 11 sections of data:
Total successful requests
Average successful requests per day
Total successful requests for pages
Average successful requests for pages per day
Total failed requests
Total redirected requests
Number of distinct files requested
Number of distinct hosts served
Corrupt logfile lines
Total data transferred
Average data transferred per day
Write an essay of 2–3 pages that contains the following:
A complete overview of the data, identifying anomalies in different weeks, and the weeks that the data are not regular.
Choose 5 different sections of data, examine these sections, and provide the specific selection process and criteria you used to select this data set.
Provide the measures of tendency and dispersion for each of the 5 different sections of data you selected.
Provide 1 chart or graph for each of the 5 processed sections. This may be a pie or bar chart or a histogram.
Label the chart or graph clearly.
Explain why the graph you provided gave a good visual representation of the data.
Based on your explanation above, identify some specific advantages why, in general, charts and graphs are important in conveying information in a visual format.
Determine the standard deviation and variation, and explain their importance in statistical analysis of a data set.
Based on the tasks you performed in this project, research how statistics are used in information technology (IT), and provide references for your research
Your essay should include proper citation in APA formatting, both in-text, and in reference pages. Include a title page and use 12-point Times New Roman double-spaced font throughout the text

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In order to get accurate overview of the data, it was important to start identifying outliers from the first row of the data set. Analysis indicated that week 3 was outlier from the lower site, while week 5 was outlier from the upper site. The findings of week three were summarized in the first five rows of the data set as shown in the table below.

Weeks

Total Requests

Average Request Per day

Total Requests for pages

Requests for Pages Per day

Total Failed

1

220506

43864

56913

11321

13400

2

230004

46000.8

67033

13406.6

12400

3

198080

39616

45002

9000.4

12334

4

243058

48611.6

68500

13700

15890

5

332800

66560

71034

14206.8

21890

6

231890

46378

68456

13691.2

13450

7

235450

47090

75344

15068.8

13789

8

245455

49091

61789

12357.8

18332

9

228944

45788.8

59845

11969

13450

 

Contrary to this observation, week 5 recorded the highest number of request in the first two rows.In addition, week 5 was not regular as compared to week 3. For instance, the data set in the first two rows recorded the highest value in week 5 more than any other week. However, the pattern was not regular or consistent because the………………………………………………………………………………………………………………………………………………………………………………………………………………………………….

 

……………………………………………………………………………..Web server statistics …………………………………………………………………………………………………………………………………………………..

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Reliability of Comparative International Statistics

Questioning: The Reliability of Comparative International Statistics
Information in the early chapters indicates that the U.S. has lower life expectancy than other countries, yet there is known to be considerably more denial of care to the elderly in many developed countries. Discuss your theory to explain this paradox.

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Comparative International Statistics

Name

Institutional affiliation

International comparative statistics indicate that the life expectancy of people in the United States is lower compared to the life expectancy in other developed countries. This statistics have been disputed on the grounds that the United States offers better healthcare to the elderly compared to other developed countries.  However, this paradox can be understood on the basis of several factors. First, the causes of death are more predominant in the early stages of life in the United States compared to any other developed country. For instance, mortality rates during stages of pregnancy, child bearing as well as early perinatal periods is higher in the United States compared to any other developed country (Avendano & Kawachi, 2014).  Therefore, the healthcare provided to the elderly people within the United States has no impact on the mortality rates during the early stages of life. Consequently this accounts to the overall lower life expectancy in the United States Compared to other developed countries. Moreover, the health disadvantage of the United States greatly originates from childhood and spans throughout the entire lifespan. For instance, the United States has the highest prevalence of traffic injuries, low birth weights as well as HIV incidences (Avendano & Kawachi, 2014). Such health disadvantages often begin at early stages of life and extent through the lifespan. This greatly compromises the overall determination of the life expectancy of Americans in comparison with other developed countries. Moreover………………………………………………………………………………………………

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Sun Coast data using the descriptive statistics tools discussed in the unit lesson

Preferred Language :
Instructions
Descriptive Statistics Analysis

Describe the Sun Coast data using the descriptive statistics tools discussed in the unit lesson. Establish whether assumptions are met to use parametric statistical procedures. Repeat the tasks below for each tab in the Sun Coast research study data set. Utilize the Unit IV Scholarly Activity template attach.

You will utilize Microsoft Excel ToolPak. The links to the ToolPak are here.

Here are some of the items you will cover.

Produce a frequency distribution table and histogram.
Generate descriptive statistics table, including measures of central tendency (mean, median, and mode), kurtosis, and skewness.
Describe the dependent variable measurement scale as nominal, ordinal, interval, or ratio.
Analyze, evaluate, and discuss the above descriptive statistics in relation to assumptions required for parametric testing. Confirm whether the assumptions are met or are not met.


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Problems Encountered by Sun Coast Remediation

Name of Student

University Affiliation

Course Number

Instructor’s Name

Date

Data Analysis: Descriptive Statistics and Assumption Testing

            Statistics involves the process of collection, analysis, interpretation, presentation, and data organization in a way that can be understood by its users. Statistical analyses are divided into two broad categories: the inferential and descriptive statistics (Verma & Abdel-Salam, 2019). Descriptive statistics consists of the methods of data representation that calculates descriptive figures and summary graphs or both. The Sun Coast Remediation data was analyzed and presented using descriptive statistics with the interpretations to ascertain whether parametric statistical procedures were met.

Correlation: Descriptive Statistics and Assumption Testing

            The analysis of Sun Coast Remediation data yielded the following statistical descriptive figures and summary graphs.

Frequency distribution table

Sick DaysFrequency
21
31
45
513
618
724
818
912
107
112
More2

Histogram

Descriptive statistics table

Mean Annual Sick Days Per Employee
  
Mean7.126213592
Standard Error0.186483898
Median7
Mode7
Standard Deviation1.892604864
Sample Variance3.58195317
Kurtosis0.124922603
Skewness0.142249784
Range10
Minimum2
Maximum12
Sum734
Count103

Measurement scale

            The frequency distribution tables provide a means of ascertaining the measurement scales in which the data was measured.  An analysis of the variables used in data (sick days) revealed that the measurement scale used is ratio scale. Argyrols (2011) points out that a ratio scale uses units that measure equal distance between values on the scale with unique zero.  The variables used indicate sick days with an interval of 1 and with a unique zero as a starting point since there can be zero sick days.

Measure of central tendency

The measures of central tendency are a summary statistic that provides center point of a data set (Argyrous, 2011). The measures of central tendency used in the descriptive statistics for Sun Coast Remediation data are mean, mode, and media. These measures provide the mid-point in which the sick days are dispersed and this can be deduced from the histogram as the mid-point from which the data sets are dispersed.

Evaluation

            The assumptions for parametric assumptions can be ascertained if it were met by checking the histogram curve and the centrality of the distribution of the data. First, the measures of central tendency must be same. In the descriptive statistics, the mean, mode, and median are all same (7). Secondly, observing the histogram shows that the data is evenly distributed with no outliers. Lastly, the observed values for skewness and kurtosis are 0.142249784 and 0.124922603, which are all closer to zero. The general assumption is that the closer the values of skewness and kurtosis to zero, parametric statistical testing can be evaluated using such data. Therefore, the descriptive statistics above met the requirements of parametric assumptions. 

Simple Regression: Descriptive Statistics and Assumption Testing

Frequency distribution table

Lost TimeFrequency
101
351
609
859
11017
13518
16024
18527
21037
23524
26021
28515
31012
3354
More4

Histogram

Descriptive statistics table

Lost Time Hours
  
Mean188.0044843
Standard Error4.803089447
Median190
Mode190
Standard Deviation71.72542099
Sample Variance5144.536016
Kurtosis-0.501223533
Skewness-0.081984874
Range350
Minimum10
Maximum360
Sum41925
Count223

Measurement scale

The data set in the variables are ordered with meaningful intervals between the data values without unique zero, meaning it used an interval measurement scale. The measures of lost time cannot have zero starting point, since one cannot say that there is zero lost time. 

Measure of central tendency The measures of central tendency employed are mean, mode, and median. The measures provided how the data is evenly distributed across the………………………………………………………………………………………………

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Analyzing statistics contribute to the Christian Worldview

How does analyzing statistics contribute to the Christian Worldview? These seem to be unrelated – so what do statistics tell us about the world? 

 Each thread must be at least 500-700 words and demonstrate course-related knowledge. In addition to the thread, the student is required to reply to two other classmates’ threads. Each reply must be at least 200-300 words   For each thread, you must support your assertions with at least 2 citations from sources such as your textbook, peer-reviewed journal articles, and the Bible. The thread and replies must follow 6th edition APA format. Please note, with any discussion board, there are formatting limitations. For example, Times New Roman and double-spacing are difficult, so that requirement may be waived. However the “spirit” of APA must be present with references, citations, and a readable 12-point font (Blackboard default is acceptable) Assignment statusSolved by our Writing Team at CapitalEssayWriting.comCLICK HERE TO ORDER THIS PAPER AT CapitalEssayWriting.com