The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output Welch Two Sample t-test data: yes and no t = 3.1181, df
The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output
Welch Two Sample t-test
data: yes and no
t = 3.1181, df = 1098.5, p-value = 0.001867
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
1.011652 4.445822
sample estimates:
mean of x mean of y
42.81574 40.08701
What is the pvalue and results of the test?
A. 0.001867<=alpha(0.05) therefore H0 is rejected
B. 3.1181>alpha(0.05) therefore H0 is rejected
C. 1.011652 is not <=alpha(0.05) therefore H0 is not rejected
D. 1098.5 is the pvalue result
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