Check to see if there is a “glass ceiling”. Is a person’s career level dependent on their gender?a. Use the appropriate statistical test using the data below. Use the 0.05 alpha level. include the p-value and summarize your results. Career level/genderEntry levelManager levelDirector levelExecutive levelTotalFemale21850302300Male290604010400b. Even if you do not get a significant result for part a of this problem, run a test to determine if the percentage of female executives is significantly less than the percentage of male executives. Use the 0.05 alpha level. include the p-value and summarize your results.

Name: Check to see if there is a “glass ceiling”. Is a person’s career level
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Description: Check to see if there is a “glass ceiling”. Is a person’s career level dependent on their gender?a. Use the appropriate statistical test using the data below. Use the 0.05 alpha level. include the p-value and summarize your results. Career level/gen

(a). Test Hypotheses: The two categories of interest are the “gender” and “Career level”. The…

Answered: Check to see if there is a “glass…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Check to see if there is a “glass ceiling”. Is a person’s career level dependent on their gender?

a. Use the appropriate statistical test using the data below. Use the 0.05 alpha level. include the p-value and summarize your results.

Career level/gender	Entry level	Manager level	Director level	Executive level	Total
Female	218	50	30	2	300
Male	290	60	40	10	400

b. Even if you do not get a significant result for part a of this problem, run a test to determine if the percentage of female executives is significantly less than the percentage of male executives. Use the 0.05 alpha level. include the p-value and summarize your results.

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