A researcher claims that 10 year olds watch 6.6 hours of TV daily with SD = 2.5 hours. You try to verify this with the following sample data of 100 and a sample mean of 6.1 hours. Test the claim of the researcher. Test at α = .01
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=6.6"
"H_1:\\mu\\not=6.6"
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| = 2<2.5758=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<-2)=0.0455," and since "p = 0.0455 > 0.01=\\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 6.6, at the "\\alpha = 0.01" significance level.
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