Exercise 4. You are given the following null and alternative hypotheses:
?0: ? ≤ 500
? A : ? > 500
? = 0.01
Calculate the probability of committing a Type II error (Beta ?) when the population mean is 505, the sample size is 64, and the population standard deviation is known to be 36.
From standard normal tables, we have here:
P( Z > 2.325) = 0.01,
Therefore the critical value here for 1% level of significance is 2.325
The critical mean value thus is computed here as:
The probability of committing a type II error is retaining a false null hypothesis. Therefore here it would mean given the true mean is 505, the probability that we dont reject the null hypothesis here is computed as:
P(X < 510.4625)
Converting it to a standard normal variable, we get here:
Getting it from the standard normal tables, we get here:
Therefore 0.8876 is the required probability of type II error here.
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