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Use a solution sheet to solve the hypothesis test problem. Go to Appendix E for the chi-square solution sheet. Round expected frequency to two decimal places.

A manager of a sports club keeps information concerning the main sport in which members participate and their ages. To test whether there is a relationship between the age of a member and his or her choice of sport, 643members of the sports club are randomly selected. Conduct a test of independence.

Sport18-2526-3031-4041andover
racquetball42583046
tennis58763865
swimming72606533

Short Answer

Expert verified

H0 : There is no significant association between the age of a member and his or her choice of sport.

Decision: The computed value of the chi-square test statistic is greater than the critical value, so the null hypothesis will be rejected at a 5% level of significance.

Conclusion: There is sufficiently proof at a 5% level of significance to conclude that there is a significant collaboration between the age of a member and his or her choice of sport.

Step by step solution

01

Given Information

To test whether there is a relationship between the age of a member and his or her choice of sport, 643members of the sports club are randomly selected. Conduct a test of independence.

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Most popular questions from this chapter

The table provides a recent survey of the youngest online entrepreneurs whose net worth is estimated at one million dollars or more. Their ages range from 17to 30. Each cell in the table illustrates the number of entrepreneurs who correspond to the specific age group and their net worth. Are the ages and net worth independent? Perform a test of independence at the 5%significance level.

Age Groupl Net Worth Value (in millions of US dollars)1-56-24≥25Row Total17-258752026-3065920Column Total14121440

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