Test at the α = .01 significance level whether the mean of a random sample of size n = 16 is statistically significantly less than 10. If the distribution from which the sample was taken is normal, x¯ = 8.4 and σ2 = 10.24. What are the null and alternative hypotheses for this test?
Hypothesized Population Mean "\\mu=10"
Population Standard Deviation "\\sigma=\\sqrt{\\sigma^2}=\\sqrt{10.24}=3.2"
Sample Size "n=16"
Sample Mean "\\bar{x}=8.4"
Significance Level "\\alpha=0.01"
Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
"H_0: \\mu\\geq10"
"H_1: \\mu<10"
This corresponds to a left-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 left-tailed test is "z_c=-2.3263."
The rejection region for this left-tailed test is "R=\\{z:z<-2.3263\\}."
The "z" - statistic is computed as follows:
Since it is observed that "z=-2>-2.3263=z_c," it is then concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu" is less than "10," at the "\\alpha=0.01" significance level.
Using the P-value approach: The p-value for one-tailed, the significance level "\\alpha=0.01, z=-2, \\text{left-tailed}" is "p=0.02275," and since "p=0.02275>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 less than "10," at the "\\alpha=0.01" significance level.
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