A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a significance level of 5%
A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a significance level of 5%
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 alt="A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was
conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a
significance level of 5%
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Females
Males
65,852.00 89,562.00
1,003.00
1,025.00
45
30
0
37
-1.26
0.1200
1.3300
0.2400
1.2800
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Transcribed Image Text:A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was
conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a
significance level of 5%
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Females
Males
65,852.00 89,562.00
1,003.00
1,025.00
45
30
0
37
-1.26
0.1200
1.3300
0.2400
1.2800
For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).
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10pt
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Expert Solution
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Step 1: Determine the given data in the question
Let the two populations be the salaries of female and male employees respectively.
Let be the two population mean salaries for females and males resepctively.
The output for the two-sample t-test is given below.
Assume the level of significance
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