The following null and alternative hypotheses need to be tested:
"H_0:\\mu=200"
"H_1:\\mu>200"
This corresponds to a right-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 right-tailed test is "z_c=1.6449."
The rejection region for this right-tailed test is "R=\\{z: z>1.6449\\}."
The z-statistic is computed as follows:
"=\\dfrac{214-200}{10\/\\sqrt{4}}=2.8"
Since it is observed that "z=2.8>1.6449=z_c," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is greater than 200, at the "\\alpha=0.05" significance level.
Using the P-value approach: The p-value is "p=P(z>2.8)=0.002555," and since "p=0.002555<0.05=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is greater than 200, at the "\\alpha=0.05" significance level.
Therefore, there is enough evidence to claim that the customer is accepting this lot at "\\alpha=0.05."
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