{"id":25271,"date":"2023-07-24T16:16:49","date_gmt":"2023-07-24T16:16:49","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/statistical-analysis-perform-analysis-ronaldo-vs-messi-two-of-the-best-soccer-players-in-the-world\/"},"modified":"2023-07-24T16:16:49","modified_gmt":"2023-07-24T16:16:49","slug":"statistical-analysis-perform-analysis-ronaldo-vs-messi-two-of-the-best-soccer-players-in-the-world","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/statistical-analysis-perform-analysis-ronaldo-vs-messi-two-of-the-best-soccer-players-in-the-world\/","title":{"rendered":"Statistical analysis, perform analysis, Ronaldo vs Messi? ( two of the best soccer players in the world."},"content":{"rendered":"
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CIST 2500 \u2013 Course Project Description<\/p>\n

The goal of the project is to do a statistical analysis on
\nany topic of your choice. My  <\/span>topic is
\nRonaldo vs Messi, two of the greatest soccer players in the world. The key is,
\nyou are performing the analysis.  <\/span>As you
\ncollect your data, make sure to include      
\n<\/span>many categorial variables. One project like this, it is easy to just
\ncompare “Ronaldo    <\/span>vs. Messi,”
\nhowever, you will find that this will increase the challenge for this
\nproject  <\/span>toward the end.  <\/span>You still have a ways to go on descriptive
\nstatistics. Remember, descriptive statistics is about center and spread of our
\ndata. So, in your case, you are looking at in game times where a goal is
\nscored. However, you what is the average game state for each person? (does one
\ntend to score when the their team is more up or down? I would also do basic
\ndescriptive statistics on goals, assist, games played, minutes played if you
\nhave it accessible.<\/p>\n

 <\/p>\n

Project Structure<\/p>\n

 <\/span>Introduction<\/p>\n

1- Introduction ( dataset description )<\/p>\n

2- Descriptive Statistics<\/p>\n

3- Inferential Statistics<\/p>\n

4- Regression<\/p>\n

5- Discussion<\/p>\n

6- Conclusion<\/p>\n

 <\/p>\n

Definitions<\/p>\n

Research question- The intention behind the analysis.
\nExample: Are there gender differences in income? Does number of bedrooms impact
\nhome prices? Are there differences between states when looking at soda
\npreferences?<\/p>\n

Extra Credit Opportunities<\/p>\n

Using software other than Excel for analysis (R, Tableau,
\nSAS, Minitab, etc.). For extra credit, you must submit code, files, etc. Regression<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

From Professor-<\/p>\n

Project Introduction: There is a plethora of data on the
\nInternet. Some ready to go, other data needing manipulation\/collection to make
\nuseable. In this course, you may use data that is already compiled or that you
\ncompile yourself to ask\/answer a research question\/topic and explore that data
\nin that lens.<\/p>\n

This question\/topic can be anything. It could be a business
\nrelated question such as: what market segments will be more effective for a
\nmarketing campaign? It could be a sports related question such as: why did the
\nGolden State Warriors win the 2017 NBA Championship? It could also be a social
\nquestion such as: what types of companies make better corporate citizens?<\/p>\n

If you are struggling to find a dataset of use, bring it to
\nmy attention early. The earlier you obtain your data, the less stressful this
\nproject will be.  <\/span>Kaggle.comLinks to an
\nexternal site. can be used to find a dataset. They have a plethora of data sets
\nthat may be of value. As you let the data guide you, your topic will move and
\nchange. THIS IS OK.<\/p>\n

 <\/p>\n

The grading rubric will be as follows:<\/p>\n

Component<\/p>\n

 <\/p>\n

Points<\/p>\n

 <\/p>\n

Problem Statement<\/p>\n

 <\/p>\n

10 \u2013 States research question clearly and concisely<\/p>\n

 <\/p>\n

5 \u2013 States research question in an ambiguous way<\/p>\n

 <\/p>\n

0 \u2013 Does not state research question<\/p>\n

 <\/p>\n

Dataset Selection<\/p>\n

 <\/p>\n

10 \u2013 Selects Dataset that consists of a variety of data
\nelements<\/p>\n

 <\/p>\n

5 \u2013 Selects a data set with limited number of data elements<\/p>\n

 <\/p>\n

0 \u2013 Fails to Select Dataset<\/p>\n

 <\/p>\n

Descriptive Statistics \u2013 Measures of Central
\nTendancy\/Variation<\/p>\n

 <\/p>\n

20 \u2013 Includes measures of Central Tendency and Variation and
\nincludes them in discussion surrounding research question<\/p>\n

 <\/p>\n

15 \u2013 Includes Measures of Central Tendency and Variation but
\ndoes not include them in discussion surrounding research question<\/p>\n

 <\/p>\n

10 \u2013 Includes Measures of Either Central Tendency or
\nVariation and includes them in discussion surrounding research question<\/p>\n

 <\/p>\n

5 \u2013 Includes Measures of Either Central Tendency or
\nVariation but does not include them in discussion surrounding research question<\/p>\n

 <\/p>\n

0 \u2013 Does not include numeric descriptive statistics<\/p>\n

 <\/p>\n

Descriptive Statistics \u2013 Visual Observations<\/p>\n

 <\/p>\n

20 \u2013 Employs Visualization that further enhance conclusion
\non research topic not discussed in the textbook.<\/p>\n

 <\/p>\n

15 \u2013 Employs visualizations only in the textbook to enhance
\nconclusion about research topic.<\/p>\n

 <\/p>\n

10 \u2013 Employs visualization techniques textbook, but does not
\nrelate it to research topic.<\/p>\n

 <\/p>\n

0 \u2013 Does not include charts, graphs, etc. in analysis.<\/p>\n

 <\/p>\n

Inferential Statistics<\/p>\n

 <\/p>\n

20 \u2013 Uses inferential statistics, explains technique
\nassumptions and uses the results of the inferential analysis to further enhance
\nconclusion on research topic.<\/p>\n

 <\/p>\n

15 \u2013 Uses inferential statistics to further enhance
\nconclusion on research topic<\/p>\n

 <\/p>\n

10 \u2013 Uses inferential statistics but does not tie it back to
\nconclusion on research topic.<\/p>\n

 <\/p>\n

0 \u2013 Does not include inferential statistics topic.<\/p>\n

 <\/p>\n

Regression Analysis<\/p>\n

 <\/p>\n

Up to 10 Points Extra Credit \u2013 Include a Regression Analysis
\nas part of research analysis.<\/p>\n

 <\/p>\n

Discussion<\/p>\n

 <\/p>\n

0 -10 – Discusses in depth how statistical analysis supports
\nformulation of a conclusion about research topic.<\/p>\n

 <\/p>\n

Conclusion<\/p>\n

 <\/p>\n

10 \u2013 States conclusion and uses analysis to support through
\ninferential statistics and descriptive statistics<\/p>\n

 <\/p>\n

5 \u2013 States conclusion<\/p>\n

 <\/p>\n

0 \u2013 Does not form an end result from the analysis<\/p>\n

 <\/p>\n

Total<\/p>\n

 <\/p>\n

100<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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Dataset Description<\/span>
 <\/span>Descriptive Statistics (Chapters 2-3)<\/span>
 <\/span>Inferential Statistics (Chapters 6-13)<\/span>
 <\/span>Regression (Chapters 14-15) \u2013 Extra Cred<\/span> <\/span>Discu<\/span> <\/span>Conclusio<\/span>Definitions<\/span>
 <\/span>Research question(s) \u2013 the intention behind the analysis. Example: Are there gender differences<\/span>
 <\/span>Using software other than Excel for analysis (R, Tableau, SAS, Min<\/span> <\/span>Regression<\/span>
<\/p>\n

<\/div>\n<\/div>\n<\/div>\n
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 <\/span>100<\/span><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

CIST 2500 \u2013 Course Project Description The goal of the project is to do a statistical analysis on any topic of your choice. My  topic is Ronaldo vs Messi, two of the greatest soccer players in the world. The key is, you are performing the analysis.  As you collect your data, make sure to include       […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[658],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/25271"}],"collection":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/comments?post=25271"}],"version-history":[{"count":0,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/25271\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/media?parent=25271"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/disciplines?post=25271"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/paper_types?post=25271"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/tagged?post=25271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}