You would like to "prove" your alternative hypothesis that the proportion of all male college students who can run a mile in less than 7.5 minutes is less than 0.30. You collect a random sample of college males and discover that 26.0% of them can run a mile in less than 7.5 minutes. Let n be the sample size. Which of the following can you conclude?   a. If n=100, then these results are significant at the 10% level, but not at the 5% level.     b. If n= 1000, then these results are significant at the 5% level, but not at the 1% level.     c. If n= 250, then these results are significant at the 5% level, but not at the 1% level.     d. If n= 500, then these results are significant at the 5% level, but not at the 1% level.

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Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.