In a plant nursery, the owner thinks that the length of seedlings in a box sprayed with a new kind of fertilizer has an average height of 26 cm after three days and a standard deviation of 10 cm. One researcher randomly selected 80 such seedlings and calculated the mean height to be 20 cm. Use a=0.05 to test out whether what the plant nursery owner thinks us correct or not.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=26"
"H_1:\\mu\\not=26"
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:
Since it is observed that "z=5.3666>1.96=z_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value is "p=2P(z<-5.3666)=0," and since "p=0<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 different than 26, at the "\\alpha = 0.05" significance level.
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