You have obtained the number of years of education from one random sample of 38 police officers from City A and the number of years of education from a second random sample of 30 police officers from City B. The average years of education for the sample from City A is 15 years with a standard deviation of 2.5 years. The average years of education for the sample from City B is 14 years with a standard deviation of 2.2 years. Is there a statistically significant difference between the education levels of police officers in City A and City B? What is the appropriate test for this case? A. 2 sample paired t-test B. Chi-square test      C. 2 sample z-test D. 2-sample t-test Carry out the test. The test statistic =(                       )   (round answer to two decimal places.) and the p-value is (                     )  (round answer to 2 decimal places) There (is/is not)     sufficient evidence at the 5% level to conclude that the education levels of police officers in City A and City B is significantly different.

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You have obtained the number of years of education from one random sample of 38 police officers from City A and the number of years of education from a second random sample of 30 police officers from City B. The average years of education for the sample from City A is 15 years with a standard deviation of 2.5 years. The average years of education for the sample from City B is 14 years with a standard deviation of 2.2 years. Is there a statistically significant difference between the education levels of police officers in City A and City B?

What is the appropriate test for this case?

A. 2 sample paired t-test
B. Chi-square test     
C. 2 sample z-test
D. 2-sample t-test


Carry out the test. The test statistic =(                       )   (round answer to two decimal places.)
and the p-value is (                     )  (round answer to 2 decimal places)

There (is/is not)     sufficient evidence at the 5% level to conclude that the education levels of police officers in City A and City B is significantly different.

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