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Statistics & Probability Practice Problems- Chapter 11

Question # 00011758
Subject: Mathematics
Due on: 04/08/2014
Posted On: 04/08/2014 04:27 AM

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Practice Problems: Chapter 11

1) An automobile company is testing to see if the gender a person is influences whether a person prefers a blue car or a silver car. 1200 randomly chosen women and 1200 randomly chosen men were asked which of the two colors they preferred. The contingency table of the results is below:

 color of car gender blue silver total female 400 800 1200 male 550 650 1200 total 950 1450 2400

A) For this problem, indicate the specific null and alternative hypotheses that will be used with a Chi-Square Test.

B) Calculate the expected counts using the method shown in the example in the online notes (shown on the “Summary” page). Show all work.

C) Calculate the Chi-Square Statistic value by hand. Show all work.

The required Chi-sqr test statistic is,

D) Calculate the p-value of the Chi-Square Statistic using the table in the back of the textbook.

E) Interpret the p-value you found using the wording found on the “Summary” page of the online notes.

F) What is your conclusion? Reasoning?

G) Calculate the Odds Ratio of females to males (of choosing a silver car). Show all work. (see the example on the “Summary” page of the online notes)

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Statistics & Probability Practice Problems- Chapter 11

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Posted On: 04/08/2014 04:30 AM
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Tutorial Preview …men xxxx asked xxxxx of the xxx colors they xxxxxxxxx The xxxxxxxxxxx xxxxx of xxx results is xxxxxx color of xxx gender xxxx xxxxxx total xxxxxx 400 800 xxxx male 550 xxx 1200 xxxxx xxx 1450 xxxx A) For xxxx…
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Statistics_Probability_Practice_Problems-_Chapter_11_Solution.docx (17.42 KB)
Preview: will xx used xxxx a Chi-Square xxxx The null xxx alternative xxxxxxxxxx xxx this xxxx are,H0:Preference of xxxxx of car xxx gender xxx xxxxxxxxxxx to xxxx other i x gender does xxx influence xxx xxxxxxxxxx of xxxxx and Ha:Gender xxxxxxxxx color preference xxxxxxxxx the xxxxxxxx xxxxxx using xxx method shown xx the example xx the xxxxxx xxxxx (shown xx the “Summary” xxxxx Show all xxxx The xxxxx xx expected xxxxxx is given xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx × 950) x 475((1200/2400) xx.....
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