A certain drug is claimed by its manufacturers to reduce overweight men by 4.75 kg per month,
with a standard deviation of 0.89 kg. Ten randomly chosen men reported losing an average of 4.25 kg
within a month. Does this data support the claim of the manufacturer at 0.05 level of significance?
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=4.75"
"H_1:\\mu\\not=4.75"
This corresponds to a two-tailed test, for which a z-test for one mean, with known population standard deviation will be used.
Based on the information provided, the significance level is "\\alpha=0.05," and the critical value for a two-tailed test is "z_c=1.96."
The rejection region for this two-tailed test is "R=\\{z:|z|>1.96\\}."
The z-statistic is computed as follows:
Since it is observed that "|z|=1.77656<1.96=z_c," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value is "p=2P(Z<-1.77656)=0.075641," and since "p=0.078641<0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population "\\mu" is different than "4.75," at the "\\alpha=0.05" significance level.
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