Math Problem Statement
sample (10).csv
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A random sample of 146 teams playing in major international team sporting competitions has been selected to study corporate sponsorship and subsequent sporting success. Some of the variables recorded for each team are listed below.
Variable Description subid Subject ID sex sex of players numSponsors number of distinct corporate sponsors percentWin the percentage of international games won numFollowersCat the number of followers of teams
Import the data set included in the file sample.csv in Excel. To do this, you need to click on the link above and save the data file in a convenient location on your PC (in your browser, File and Save). Next open Excel, click File in the Menu, select Open and navigate to the file you previously saved – or simply double-click on it, Excel should open automatically. Use Excel and/or probTool, and appropriate hypothesis tests, to address the following research question. Assume all the test assumptions are verified.
Research question 1: We wish to investigate whether the number of followers of teams playing in major international team sporting competitions is distributed according to the table below.
the number of followers of teams | 1 (10000 or less) | 2 (10001-50000) | 3 (50001-100000) | 4 (100001 or more) Percentage | 10 | 10 | 50 | 30 QUESTIONS:
Report the number of the degrees of freedom [integer]: Answer 1 Question 1 Report the value of the test statistic [use at least 2dp]: Answer 2 Question 1 Report the 𝑝 -value [use at least 3dp]: Answer 3 Question 1 What is the decision of the test? Answer 4 Question 1
Research question 2: we are interested in studying the association between the number of followers and the sex of players in the population under consideration. QUESTIONS:
Report the number of the degrees of freedom [integer]: Answer 5 Question 1 Report the value of the test statistic [use at least 2dp]: Answer 6 Question 1 Report the 𝑝 -value [use at least 3dp]: Answer 7 Question 1 What is the decision of the test? Answer 8 Question 1
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Math Problem Analysis
Mathematical Concepts
Chi-square goodness-of-fit test
Chi-square test of independence
Hypothesis testing
Contingency tables
Formulas
Chi-square statistic: Χ² = Σ[(O - E)² / E]
Degrees of freedom (df) = (r-1)(c-1) for contingency tables
p-value calculation from Chi-square distribution
Theorems
Chi-square goodness-of-fit test
Chi-square test of independence
Suitable Grade Level
University level, Intermediate Statistics
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