𝛼 = 0.01; two-tailed test; 𝑛 = 15; 𝜎 = 5 .
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=\\mu_0"
"H_0:\\mu\\not=\\mu_0"
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=0.01," and the critical value for a two-tailed test is "z_c=2.5758."
The rejection region for this two-tailed test is "R=\\{z:|z|>2.5758\\}."
The z-statistic is computed as follows:
If it is observed that "|z|>z_c," it is then concluded that the null hypothesis is rejected. There is enough evidence to claim that the population "\\mu" is different than "\\mu_0," at the "\\alpha=0.01" significance level.
If it is observed that "|z|\\leq z_c," it is then concluded that the null hypothesis is not rejected. There is not enough evidence to claim that the population "\\mu"  is different than "\\mu_0," at the "\\alpha=0.01" significance level.
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