In a particular year, 68% of online courses taught at a system of community colleges were taught by full-time faculty. To test if 68% also represents a particular state's percent for full-time faculty teaching the online classes, a particular community college from that state was randomly selected for comparison. In that same year, 35 of the 44 online courses at this particular community college were taught by full-time faculty. Conduct a hypothesis test at the 5% level to determine if 68% represents the state in question. Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) (a) What is the test statistic? (Round your answer to two decimal places.) (b)Sketch a picture of this situation. Label and scale the horizontal axis and shade the region(s) corresponding to the p-value. (c) Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion. (i) Alpha: ? = (ii) Decision: reject the null hypothesisdo not reject the null hypothesis
In a particular year, 68% of online courses taught at a system of community colleges were taught by full-time faculty. To test if 68% also represents a particular state's percent for full-time faculty teaching the online classes, a particular community college from that state was randomly selected for comparison. In that same year, 35 of the 44 online courses at this particular community college were taught by full-time faculty. Conduct a hypothesis test at the 5% level to determine if 68% represents the state in question.
Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is
(a) What is the test statistic? (Round your answer to two decimal places.)
(b)Sketch a picture of this situation. Label and scale the horizontal axis and shade the region(s) corresponding to the p-value.
(c) Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion.
? =
(ii) Decision:
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