In what follows use any of the following tests/procedures: Regression, confidence intervals, one-sided t-test, or two-sided t-test. All the procedures should be done with 5% P-value or 95% confidence interval.
Open the PreLaw_Nursing data. https://www.limes.one/Content/DataFiles/PreLaw_Nursing.txt
SETUP: The data contain the salaries for 25 people whose college majors were either Pre-law or Nursing. Question: Do these two majors have different salaries?
9. What test/procedure did you perform?
10. What is the P-value/margin of error?
11. Statistical interpretation
12. Conclusion
9. What test/procedure did you perform?
-----> b. Two-sided t-test
Because here we want find these two majors have different salaries that why we need use two sided sample T-test here .
10. What is the P-value/margin of error?
-------> a. 0.000629
Using Minitab
One-Sample T: PreLaw/Nursing
Test of μ = 0 vs ≠ 0
Variable N Mean StDev SE Mean 95% CI T P-Value
PreLaw/Nursing 50 40.100 4.875 0.689 (38.715, 41.485) 58.16 0.000
11. Statistical interpretation a
d. Since the P-value is small, we can claim that there is connection between two variables
12. Conclusion
a. Yes, I am confident that the salaries are different. Because here P-value is less than 0.05 so we reject the null hypothsis but we accept the alternative hypothesis .
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