Determine the given and compute the appropriate test statistic of the problem below. Construct the rejection region of the problem below
A manufacturer of face mask has developed a new face mask design. He claims that the new design has an average profit increase of 10% with a standard deviation of 3%. Test the hypothesis that the new face mask design average profit increase of is not 10% if a random sample of 50 face mask is tested with an average profit increase of 4%. Use 10% level of significance.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=10"
"H_1:\\mu\\not=10"
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 = 0.1," and the critical value for a two-tailed test is "z_c = 1.6449."
The rejection region for this two-tailed test is "R = \\{z: |z| > 1.6449\\}."
The z-statistic is computed as follows:
Since it is observed that "|z| = 14.142 > 1.6449=z_c ," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is "p=2P(Z<-14.142)=0," p and since "p = 0 < 0.1=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is different than 10, at the "\\alpha = 0.1" significance level.
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