A 95% confidence interval for mu = population mean IQ is (96,110). So, in the te

Question

A 95% confidence interval for mu = population mean IQ is (96,110). So, in the test of H_0: mu = 100 versus H_A: mu =100, the test statistic |Z| > 1.96. The P-value is the probability that the null hypothesis is true. The difference between the population distribution of a variable and the sampling distribution of a statistic is that the first summarizes the population while the second summarizes the sample data. Hypotheses are always stated in terms of sample statistics. If the P-value for a statistical hypothesis test is as small as or smaller than a pre-specified significance level, alpha, then one should retain the null hypothesis.

Explanation / Answer

26) False. Z=(x-µ)//n1/2 = (100-96)/110 = 0.03. Hence |Z| < 1.96

27) True. P-value helps in determining the significance of representing the probability of the occurrence of a given event (Ho)

28) True.

29) False. Hypothesis are always stated in terms of the population parameter.

30) False. If p-value is less than a pre-specified significance level , then we reject the null hypothesis.

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