A chemical company alleged that the average weight of its bag of chemical is 50 kgs. with a standard deviation of 0.9 kg. A sample of 29 bags was taken and revealed a mean weight of 48.1 kgs. Shall we accept the allegation of the chemical company? Use a = 0.01.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=50"
"H_1:\\mu\\not=50"
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:
Since it is observed that "|z| = 11.369 > 2.5758=z_c ," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is "p=2P(Z<-11.369)=0," p and since "p = 0 < 0.01=\\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 50, at the "\\alpha = 0.01" significance level.
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