A random sample of n=9 individuals is selected from a population with μ=20, and a treatment is administered to each individual in the sample. After treatment, the following scores are observed: 43 15 37 17 29 21 25 29 27 Compute the sample mean and variance. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.) If there is no treatment effect, what is the typical difference between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the t statistic.) Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with a=.5.
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A random sample of n=9 individuals is selected from a population with μ=20, and a treatment is administered to each individual in the sample. After treatment, the following scores are observed:
43
15
37
17
29
21
25
29
27
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Compute the sample
mean and variance. -
How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.)
-
If there is no treatment effect, what is the typical difference between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the t statistic.)
-
Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with a=.5.
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