.Provide a list of variables used in the dataset and explain what each variable is in regard to the type of data and the level of measurement (qualitative variables, quantitative variables, discrete variables, continuous variables, nominal scale, ordinal scale, internval scale, ratio scale, etc)see Sections 1.1 and 1.2 in Chapter 1 of the textbook)
2.Provide a list of questions you are asking in relation to the data and summarize what you hope to learn from your analysis.
3.The analysis questions that you create should explore the descriptive characteristics of the dataset. Consult “A Roadmap for Selecting a Statistical Method” (page i. in your textbook), in particular the first row, “Describing a group or several groups.” Specifically, the questions should reveal:
a.The central tendencies of the data (i.e., mean, median, and mode)
b.How the data is distributed and how the data items vary (i.e., standard deviation, range, and variance)
c.The relationship, if any, between two numerical variables in the dataset (correlation analysis)
4.Submit your completed Variables and Analysis Questions Summary to your instructor by the end of the workshop
Credit Hours Major Comp. Use Comp. Hrs. Labs Benefit Higher Tuition Enrollment Decision Price willing to pay
7 6 1 15 2 2 2 3 500
16 6 1 30 2 1 0 3 2000
13 6 1 0 2 1 1 5 200
19 1 1 20 3 1 2 3 800
16 6 3 5 3 2 2 2 1000
17 6 1 15 2 2 2 1 550
17 6 1 0 2 1 1 2 600
18 3 2 12 1 1 1 5 1000
21 3 1 20 2 1 2 2 800
4 6 1 6 2 2 2 2 750
21 6 1 10 1 2 2 5 1200
21 6 1 20 1 1 2 3 1100
9 6 1 1 5 2 2 1 1500
12 6 1 3 3 2 2 3 800
17 6 1 30 5 2 2 5 900
17 6 1 30 2 2 2 1 900
17 6 1 12 1 1 2 5 800
12 6 1 30 3 2 2 1 1000
15 6 4 0 2 2 2 5 1000
15 6 1 20 1 1 1 5 500
16 6 1 15 3 2 2 1 500
15 1 2 5 2 1 1 5 200
12 1 2 3 2 1 2 3 3750
14 1 2 8 5 1 1 5 650
12 2 2 5 5 2 2 5 200
16 1 2 3 2 2 2 5 1200
6 5 3 2 2 2 1 5 1300
13 5 2 15 2 1 2 5 1500
12 5 2 5 4 1 1 5 1600
12 1 2 5 2 2 2 3 1500
16 8 2 3 3 2 2 1 1300
15 1 1 10 2 2 2 1 2300
16 7 1 20 2 1 1 5 200
12 5 3 2 1 2 2 1 1100
6 5 2 3 2 2 2 1 1000
7 5 2 8 2 1 2 5 1400
15 5 2 10 2 1 2 3 800
12 1 1 4 3 1 2 5 500
14 7 2 4 3 1 1 4 1200
6 5 2 10 2 1 1 5 900
12 2 2 20 3 1 2 1 800
12 1 1 20 2 1 2 5 2000
13 2 3 4 1 2 2 2 800
13 7 1 14 1 1 1 2 2000
15 1 1 5 2 1 1 4 1200
16 8 1 7 2 1 2 1 500
15 7 2 6 5 2 2 5 450
12 1 1 8 2 1 2 5 650
12 3 1 10 3 1 2 5 1200
12 1 1 30 4 1 1 5 1500
14 5 3 3 4 2 1 2 1300
18 1 1 8 2 1 2 5 800
14 1 1 5 3 1 2 1 500
12 7 2 10 2 1 1 5 500
16 7 3 4 2 2 2 2 650
18 7 2 12 1 2 2 5 1200
9 5 3 25 3 1 1 5 1100
12 5 2 6 2 1 1 2 1100
6 2 2 20 2 1 2 5 1400
13 2 2 10 5 2 2 3 800
13 1 1 6 1 1 1 5 950
13 4 3 3 5 2 2 1 650
13 7 2 3 4 2 1 3 550
16 1 1 10 2 1 1 5 500
15 7 1 15 2 1 2 5 1200
13 4 1 20 2 1 1 3 1300
15 3 1 20 3 1 1 5 200
8 5 3 4 1 1 1 4 100
6 1 3 5 2 1 2 1 250
4 3 1 12 3 2 2 3 800
6 7 2 5 3 1 2 3 1200
4 4 1 3 1 1 1 2 999
3 4 2 4 3 1 2 2 1500
8 2 1 5 2 2 2 3 600
5 6 2 6 3 1 2 1 1000
11 7 3 4 5 2 2 5 900
20 5 3 8 3 2 1 2 900
12 3 3 3 3 1 2 4 1200
13 3 2 16 2 1 1 4 1100
14 1 2 12 2 1 1 5 400
9 1 1 10 1 2 2 1 500
10 1 2 9 5 2 2 1 400
5 1 2 10 5 2 2 1 300
10 3 2 10 1 1 1 5 200
15 2 1 10 5 1 2 3 1200
3 6 1 8 2 2 1 4 1500
8 2 2 5 3 1 1 3 2000
5 6 1 6 2 2 2 2 750
20 5 2 15 2 2 2 4 650
9 2 2 25 2 1 2 2 1200
11 5 3 10 5 2 2 2 700
6 2 1 20 2 1 1 2 800
13 6 1 26 1 2 1 5 900
12 4 3 5 2 2 2 5 1200
16 7 3 15 1 2 2 2 1100
20 6 1 40 1 2 2 5 1300
10 1 2 25 1 2 2 5 1200
5 3 1 60 1 2 2 1 1100
7 8 1 30 2 1 1 5 1100
6 1 2 5 1 2 2 1 500
10 4 2 6 5 2 2 2 500
9 1 2 6 2 1 2 2 650
6 2 3 2 5 2 1 5 800
8 1 3 2 2 1 1 5 950
15 8 2 6 1 2 2 1 720
6 8 2 3 2 2 2 1 650
8 4 2 12 2 1 1 4 400
18 1 1 1 3 1 1 5 200
16 8 3 10 1 1 1 2 1200
3 3 2 8 3 1 1 1 1300
6 4 2 4 2 1 2 4 899
3 3 2 6 2 1 1 5 450
15 7 1 10 2 1 1 5 250
15 7 2 5 3 1 1 5 699
8 7 4 0 5 2 2 5 700
14 7 3 4 1 2 2 5 1200
3 8 4 0 5 2 2 1 100
15 8 3 1 1 2 2 5 1000
18 7 2 6 3 1 2 3 1000
10 7 4 0 5 2 2 5 1500
14 7 3 1 1 2 2 5 150
12 7 4 0 5 2 2 5 850
3 7 4 0 5 2 2 1 650
9 7 4 0 5 2 2 1 750
14 3 2 7 2 1 1 5 500
15 3 4 0 5 2 2 1 800
16 3 2 4 2 2 2 5 900
12 3 3 2 5 2 2 1 1200
15 1 2 4 3 1 1 5 1300
12 3 3 2 1 2 2 5 1000
14 3 3 1 5 2 2 5 1000
15 1 2 8 1 1 1 5 1200
15 3 2 6 2 1 1 5 900
12 3 3 1 5 2 2 3 800
10 1 2 5 2 1 1 5 650
15 3 3 2 2 2 2 5 900
7 1 3 1 5 2 2 5 800
13 3 3 1 5 2 2 5 800
18 3 2 4 2 2 2 3 500
12 3 3 1 5 2 2 5 1200
15 3 2 5 2 1 2 5 1000
6 1 2 3 2 1 2 5 1000
15 3 2 6 2 2 2 5 900
14 3 2 2 3 1 2 5 200
13 3 1 10 3 1 1 5 500
15 3 3 1 5 2 2 5 650
12 1 3 2 2 2 2 1 850
19 3 1 6 2 1 1 5 450
16 1 2 3 3 1 2 1 425
14 3 2 5 3 1 2 3 725
13 1 2 2 2 1 1 5 599
15 1 2 3 2 1 1 5 1000
16 3 2 6 3 1 2 3 650
13 3 2 5 2 2 2 5 450
15 3 2 2 1 2 2 2 400
16 2 1 10 1 1 2 3
16 3 2 0 3 2 2 5
13 3 3 2 2 2 2 1
14 3 2 4 5 2 2 5
14 3 1 4 1 2 2 3
14 3 2 20 1 1 3 1
13 3 2 3 2 1 2 3
15 3 1 20 2 1 2 5
7 3 1 10 2 1 1 5
16 7 2 5 2 1 1 5
19 7 1 16 3 1 2 5
8 7 3 1 5 1 2 3
15 7 3 5 1 2 2 1
14 2 1 4 3 1 1 5
22 4 2 5 2 2 2 1
13 7 3 0 5 1 2 5
15 7 3 1 2 1 2 1
3 7 4 0 2 1 2 3
13 7 3 2 2 1 2 3
16 2 2 4 3 1 2 5
18 1 1 15 2 2 3 1
10 2 1 20 5 1 2 5
7 6 2 2 5 2 2 1
12 3 1 5 1 2 2 5
12 7 2 1 1 1 1 5
15 7 3 1 2 1 1 5
15 7 2 4 2 1 1 5
17 7 3 1 3 1 1 3
15 3 1 15 3 1 1 5
12 5 2 8 1 2 2 1
12 5 2 12 2 2 2 5
3 2 1 5 2 1 2 4
15 4 3 1 2 2 1 2
16 5 3 1 2 2 2 2
9 5 2 5 5 2 2 3
12 5 2 3 2 2 2 5
16 5 2 16 3 1 2 1
13 6 2 5 2 2 2 5
11 2 2 3 1 1 2 1
13 7 2 10 5 1 2 1
10 1 2 2 4 1 3 2
13 4 2 17 3 1 1 5
6 1 2 2 2 2 2 3
13 1 3 2 1 1 1 5
18 1 1 4 2 2 2 5
4 1 3 0 2 1 2 1
12 1 3 0 2 2 2 2
16 1 1 6 5 2 2 1
14 5 2 5 1 1 1 5
15 1 2 10 3 1 1 4
12 5 2 3 3 1 1 5
12 4 2 1 1 1 2 1
15 2 1 8 5 1 2 1
15 2 2 3 5 2 2 1
22 5 1 2 1 1 1 5
17 4 2 10 3 1 1 5
13 1 2 6 2 1 1 2
9 7 2 2 2 1 1 2
13 1 2 4 2 1 2 5
13 1 2 2 2 1 1 5
14 1 1 1 2 2 2 5
13 7 1 20 2 2 2 1
15 5 2 5 2 1 2 5
13 3 2 4 2 1 2 1
19 7 2 6 2 1 2 5
17 2 2 15 5 1 2 5
17 7 1 10 1 2 2 5
5 8 3 3 2 2 2 1
12 2 2 5 5 1 2 5
12 7 2 1 1 1 1 5
16 7 3 41 1 2 2 1
12 5 2 10 2 1 1 1
14 1 2 10 2 1 1 1
15 8 1 20 1 2 2 2
12 5 2 10 5 1 2 1
15 5 2 8 2 1 1 5
17 1 1 30 3 1 1 5
12 1 2 15 3 1 2 5
8 5 2 15 1 1 1 5
16 1 2 4 1 2 2 5
19 1 2 0 1 2 2 2
16 1 1 6 2 1 2 1
19 1 2 5 1 1 1 3
STAT-535 Project Description
Project Introduction
The project for this course consists of analyzing a set of data and presenting a clear and cohesive discussion about conclusions drawn from the analysis.
Managers are often required to make decisions based on information gleaned from “raw data.” The final project provides you with an opportunity to generate information from a set of data using descriptive statistics. This is a very useful skill to develop.
Project Stage Descriptions
Stage 1: Data Selection (15 Points)
Download and read through the Project Description.docx file. You have two options for choosing a dataset.
Option A (choose an existing dataset from the Project Dataset file)
1. Download the Project Datasets.
2. Review each dataset in the file to familiar yourself with the choices.
3. To choose a dataset for your project:
a. Review the legend file located in Project Datasets. This file will give you background on where the data is from and what it represents. In addition, the legend file defines the variables in the dataset.
i. If the legend file describes a dataset that you want to use, download the raw data from the corresponding .xlsx file.
ii. If you do not want to use the dataset, move on to the next legend file.
b. Missing Data: You may find that some data is “missing” in the dataset you plan to use. For example, in the 2004-Automobiles.xlsx dataset, there are several cars that do not have any entry under length. If you were conducting analysis for “length,” you would use Excel’s “Filter” to only work with those automobiles in your dataset that have an entry under “length.” You can find instructions on how to use Excel’s Filter via Google or YouTube. (Uncheck the box in the Excel Filter containing the asterisk (“*”) [the asterisk (“*”) means no data]).
4. Submit the title of the dataset to your Instructor using the Dropbox by the end of the workshop.
Option B (choose your own dataset)
1. Request permission from your instructor to use your own dataset. Your request should include:
a. Name and source of your data
b. An attached dataset that meets the following criteria:
i. A mix of categorical and numerical variables
ii. At least 30 data points
2. Submit your request and attach your dataset using the Dropbox by the end of this workshop. Your instructor must approve your dataset before you proceed with the next steps of your project.
You may not change your data set once you submit your choice to your instructor.
Stage 2: Variables and Analysis Questions (25 Points)
Provide a list of variables used in the dataset you selected in Workshop One and explain what each variable is in regard to the type of data and the level of measurement.
1. Provide a list of questions you are asking in relation to the data and summarize what you hope to learn from your analysis.
2. The analysis questions that you create should explore the descriptive characteristics of the dataset. Consult “A Roadmap for Selecting a Statistical Method” (page i in your textbook), in particular the first row, “Describing a group or several groups.” Specifically, the questions should reveal:
a. The central tendencies of the data (i.e., mean, median, and mode)
b. How the data is distributed and how the data items vary (i.e., standard deviation, range, and variance)
c. The relationship, if any, between two numerical variables in the dataset (correlation analysis)
3. Submit your completed Variables and Analysis Questions Summary to your instructor using the Dropbox by the end of the workshop.
Stage 3: Statistical Tools (50 Points)
1. Write a summary of statistical methods and techniques you plan to use for the analysis questions you developed in Workshop Two.
2. For each analysis question, indicate the statistical method(s) you will use and the exhibits (i.e., graphs, charts, and displays) you will present in your report. Make sure to discuss why you think each statistical method is appropriate, based on the data set and the analysis question. Use the tools referenced in row one of a Roadmap for Selecting a Statistical Method (page i in your textbook) as well as correlation analysis. Provide an example or two such as, “I plan to calculate the coefficient of correlation to see if there is a relationship between income and price paid for a car.”
3. Submit your completed summary to your instructor using the Dropbox by the end of the workshop.
Stage 4: Citations (20 Points)
1. Submit a list of at least three information reference sources of books, articles, or websites to be incorporated into your final submission of your project. The citations should be in APA format. Refer to the APA 6e Guide: http://www2.indwes.edu/ocls/apa/APA6eGuide.pdf
2. Your research may expand on what you’ve learned from the data set and/or provide reasons why you chose to use a particular statistical method in your analysis.
Stage 5:Final Paper Draft(90 Points)
Produce a comprehensive draft (that is, it should be a FINAL draft). By doing so, your instructor can provide you with detailed feedback. As you respond to your instructor’s detailed feedback, you will have the opportunity to improve your final paper.
All sections should be extensively sketched out. Statistical methods used and exhibits should be thoroughly discussed. Download the file The Changing Video Consumption Habits of the American Public.docx to see an exemplar project submission.
1. Prepare a draft of your project, which should contain the following sections for this submission:
a. Title page
b. Description of the variables that includes what each variable is in regards to type of data and level of measurement
c. Summary of the questions you are asking of the data and what you hope to learn from your analysis
d. Analysis of the questions you posed using statistical tools you have learned about in this course, supported by references to the tables and graphs you created
e. Conclusion, consisting of a well-written discussion about the significance of the information found in your analysis questions – in other words, why are the analysis questions important to ask and answer?
2. Be sure to incorporate all instructor feedback you received in Workshops Two and Three.
3. When you’ve completed your project draft, save a copy for yourself and submit a copy to your instructor using the Dropbox by the end of the workshop.
NOTE: The same rubric is to be used for both Stage 5 and Stage 6. Only the point values change.
Stage 6: Final Project Submission (110 Points)
Introduce your chosen data set and the research questions you devised. Then provide a thorough summary of the statistics derived from the data. Answer the original research questions and provide some conclusions from your findings. Also, list all references you used for the report in APA format.
Paper Format
Your paper should contain the following sections:
• Title page
• Description of the variables
• Analysis questions posed
• Statistical analysis
• Conclusions and recommendations
• References
Project Rubric – Week 5
Criteria 20 Points 15 – 19 Points 10- 14 Points 0–9 Points
Title Page Your title page adheres strictly to APA formatting and contains all required components. Your title page mostly adheres to APA formatting and contains all required components. Your title page does not adhere to APA formatting but has all required components. You do not include a title page or it is missing major components.
Criteria 20 Points 15 – 19 Points 10- 14 Points 0–9 Points
Variables and Questions You include a detailed description of the variables, summarize the analysis questions, and address all instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address most instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address some instructor feedback from your Workshop Two submission. You do not include a detailed description of the variables or summarize the analysis questions, or you address very little or no instructor feedback from your Workshop Two submission.
Criteria 20 Points 15 – 19 Points 10- 14 Points 0–9 Points
Exhibit Tools and Analysis You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate all instructor feedback from Workshop Three. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate most instructor feedback from Workshop Three. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate some instructor feedback from Workshop Three. You either do not include the exhibit tools or analysis or you do not incorporate instructor feedback from Workshop Three.
Criteria 20 Points 15 – 19 Points 10- 14 Points 0–9 Points
Conclusions Your conclusions are clearly supported by statistical analysis and show the significance of the analysis questions. Your conclusions are adequately supported by statistical analysis and show the significance of some of the analysis questions. Your conclusions are not well supported by statistical analysis and fail to show the significance of most of the analysis questions. Your conclusions are not supported by statistical analysis and fail to show the significance of the analysis questions.
Criteria 10 Points 8 – 9 Points 6 – 7 Points 0–5 Points
Writing, Grammar, spelling, length, and citation You demonstrated exceptional simplicity, clarity, and conciseness in your writing.
Your sentence structure is complete with correct spelling, punctuation, capitalization, varied diction, and word choices. Your sources are correctly cited. Your sentence structure has minor errors (fragments, run-ons) with correct spelling, punctuation, capitalization, and limited diction and word choices. Your sources are correctly cited. You demonstrated limited simplicity, clarity, and conciseness in your writing.
Your sentence structure has several errors in sentence fluency with multiple fragments/run-ons; poor spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. You demonstrated a lack of simplicity, clarity, and conciseness in your writing.
Your sentence structure has serious and persistent errors in sentence fluency, sentence structure, spelling, punctuation, and/or word choice.
Your assignment length is inappropriate with several format and citation errors.
Total Points 90
Project Rubric – Week 6
Criteria 10 Points 8 – 9 Points 6- 7 Points 0–5 Points
Title Page Your title page adheres strictly to APA formatting and contains all required components. Your title page mostly adheres to APA formatting and contains all required components. Your title page does not adhere to APA formatting but has all required components. You do not include a title page or it is missing major components.
Criteria 25 Points 20 – 24 Points 10- 19 Points 0–9 Points
Variables and Questions You include a detailed description of the variables, summarize the analysis questions, and address all instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address most instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address some instructor feedback from your Workshop Two submission. You do not include a detailed description of the variables or summarize the analysis questions, or you address very little or no instructor feedback from your Workshop Two submission.
Criteria 40 Points 32 – 39 Points 21- 31 Points 0–20 Points
Exhibit Tools and Analysis You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate all instructor feedback from Workshops Three through Five. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate most instructor feedback from Workshops Three through Five. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question.
You incorporate some instructor feedback from Workshops Three through Five. You either do not include the exhibit tools or analysis or you do not incorporate instructor feedback from Workshops Three through Five.
Criteria 25 Points 20 – 24 Points 10- 19 Points 0–9 Points
Conclusions Your conclusions are clearly supported by statistical analysis and show the significance of the analysis questions. Your conclusions are adequately supported by statistical analysis and show the significance of some of the analysis questions. Your conclusions are not well supported by statistical analysis and fail to show the significance of most of the analysis questions. Your conclusions are not supported by statistical analysis and fail to show the significance of the analysis questions.
Criteria 10 Points 8 – 9 Points 6 – 7 Points 0–5 Points
Writing, Grammar, spelling, length, and citation You demonstrated exceptional simplicity, clarity, and conciseness in your writing.
Your sentence structure is complete with correct spelling, punctuation, capitalization, varied diction, and word choices. Your sources are correctly cited. Your sentence structure has minor errors (fragments, run-ons) with correct spelling, punctuation, capitalization, and limited diction and word choices. Your sources are correctly cited. You demonstrated limited simplicity, clarity, and conciseness in your writing.
Your sentence structure has several errors in sentence fluency with multiple fragments/run-ons; poor spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. You demonstrated a lack of simplicity, clarity, and conciseness in your writing.
Your sentence structure has serious and persistent errors in sentence fluency, sentence structure, spelling, punctuation, and/or word choice.
Your assignment length is inappropriate with several format and citation errors.
Total Points 110
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