The Graduate Management Admission Council (GMAC) conducted an extensive and representative survey of first-year students in MBA programs. This study reported that the mean age of first-year MBA students was 27 years. A random sample of 45 first-year MBA students at a particular Eastern school had a mean age of 27.6 years and a standard deviation of 1.5 years. Is this sufficient evidence, at the 0.01 level, that the mean age of all first-year MBA students at this school is greater than the GMAC reported mean age?
1-Hypothesis test for one population mean (unknown population standard deviation)
2-Confidence interval estimate for one population mean (unknown population standard deviation)
3-Hypothesis test for population mean from paired differences
4-Confidence interval estimate for population mean from paired differences
5-Hypothesis test for difference in population means from two independent samples
6-Confidence interval estimate for difference in population means from two independent samples
7-Hypothesis test for one population proportion
8-Confidence interval estimate for one population proportion
9-Hypothesis test for difference between two population proportions
10-Confidence interval estimate for difference between two population proportions
correct option is:
1-Hypothesis test for one population mean (unknown population standard deviation)
below are the test details":
null hypothesis: HO: μ | = | 27 | ||
Alternate Hypothesis: Ha: μ | > | 27 | ||
0.01 level with right tail test and n-1= 44 df, critical t= | 2.414 | |||
Decision rule :reject Ho if test statistic t>2.414 | ||||
population mean μ= | 27 | |||
sample mean 'x̄= | 27.600 | |||
sample size n= | 45.00 | |||
sample std deviation s= | 1.500 | |||
std error 'sx=s/√n= | 0.2236 | |||
test stat t ='(x-μ)*√n/sx= | 2.683 |
since test statistic falls in rejection region we reject null hypothesis | ||||
we have sufficient evidence to conclude that the mean age of all first-year MBA students at this school is greater than the GMAC reported mean age |
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