A melting point test of n D 10 samples of a binder used in manufacturing a rocket propellant resulted in x D 154:2 F. Assume that the melting point is normally distributed with D 1:5 F: Suppose you want to test the claim that the temperature is different from 155 F: Test the hypothesis at D 0:05:
Write down the hypothesis to be tested and show all the steps and calculations.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=155"
"H_1:\\mu\\not=155"
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:
"\\approx-1.686548"
Since it is observed that "|z|=1.686548<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<-1.686548)=0.09169," and since "p=0.09169>0.05=\\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 different than 155, at the "\\alpha=0.05" significance level.
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