A researcher claims that 20 year old women on a special diet will have an average weight of 110 pounds. A sample of 15 women has an average weight of 112.5 pounds and a standard deviation of 5 pounds. A α = .01, can the claim be rejected?
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=110"
"H_1:\\mu\\not=110"
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha = 0.01,"
"df=n-1=15-1=14" degrees of freedom, and the critical value for a two-tailed test is "t_c =2.976842."
The rejection region for this two-tailed test is "R = \\{t: |t| > 2.976842\\}."
The t-statistic is computed as follows:
Since it is observed that "|t| = 1.9365< 2.976842= t_c ," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value for two-tailed "df=14" degrees of freedom, "t=1.9365" is "p =0.073257," and since "p = 0.073257 \\ge 0.01=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu"
is different than "110," at the "\\alpha = 0.01" significance level.
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