....H20 12:24 94%-. Can someone please help me asap! My professor wants me to re
ID: 3336360 • Letter: #
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....H20 12:24 94%-. Can someone please help me asap! My professor wants me to rewrite my scenario of a sample t test to test the hypothesis. HO and HA must be included Please and thank you! Overall Rating A senior year NYU student randomly selected 25 NYU freshmen student to determine if they would come back for their second year and continue on into graduation. Of the 25 freshmen students, (x) of them stated that they would stay: the rest declined. HO:Freshmens at NYU will come back for their second year (p o.5) HA: Freshmens at NYU will not come back for their second year (p-/-o.5) This would be an 2 tailed test because it can be When we say p- o.5, we are looking at proportions. (So under your null hypothesis, half of NYU freshmen would drop out!) This is not appropriate for a t-test. A one-sample t-test aims to test a "mean" value from numerical data. You are still thinking in the realm of Chi-square or binomial test (ie, success·drop out. failure = don't drop out). A line of thinking more stable for the t-test might be to compare the average GPA of those 25 with some standard (say, 3.0). Can you re- think and revise?Explanation / Answer
I belive your professor wants you to compare the mean values in your null and alternative hypothesis. Below are the null and alternative hypothesis testing the means.
HO: Mean number of students who would come back for their second year and continue on into graduation among 25 NYU freshmen students is equal to x.
HA: Mean number of students who would come back for their second year and continue on into graduation among 25 NYU freshmen students is not equal to x.
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