Asked by Robert Schofield on Jul 08, 2024
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A university investigation was conducted to determine whether women and men complete medical school in significantly different amounts of time, on the average. Two independent random samples were selected and the following summary information concerning times to completion of medical school computed: 
Perform the appropriate test of hypothesis to determine whether there is a significant difference in time to completion of medical school between women and men. Test using 
= 0.05.
Test statistic = ______________
Critical Value(s) = ______________
Conclusion: ______________
Interpretation: __________________________________________
Find the p-value associated with the test above.
p-value = ______________
Test Statistic
A value calculated from sample data during a hypothesis test used to determine the likelihood of the null hypothesis being true.
Critical Value(s)
The thresholds in statistical hypothesis testing that define the boundary or boundaries for rejecting the null hypothesis.
P-value
The odds of seeing results from a test that are at least as extreme as the observed results, with the assumption that the null hypothesis is accurate.
- Execute the computation and interpretation of the test statistic for hypothesis assessments pertaining to one population mean, one population proportion, and the difference between two population means or proportions.
- Develop hypotheses for the null and alternative cases to evaluate disparities in population means and proportions.
- Master and implement the concept of p-values in hypothesis testing to guide decision-making processes.
Verified Answer
Learning Objectives
- Execute the computation and interpretation of the test statistic for hypothesis assessments pertaining to one population mean, one population proportion, and the difference between two population means or proportions.
- Develop hypotheses for the null and alternative cases to evaluate disparities in population means and proportions.
- Master and implement the concept of p-values in hypothesis testing to guide decision-making processes.
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