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0. Suppose that we know the standard deviation of a population is σ = 10, and we’re testing the following hypothesis using a sample size of 100: H0 : µ = 25 H1 : µ ̸= 25 If the actual population mean was µ = 26 what is the probability that we make a Type II error at a level of significance of α = 0.1?

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Answer to a math question 0. Suppose that we know the standard deviation of a population is σ = 10, and we’re testing the following hypothesis using a sample size of 100: H0 : µ = 25 H1 : µ ̸= 25 If the actual population mean was µ = 26 what is the probability that we make a Type II error at a level of significance of α = 0.1?

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Adonis
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the critical value is \pm 1.645 type II error means, we fail to reject the null hypothesis and the null hypothesis is false do not reject the null hypothesis if -1.645 < Z < 1.645 -1.645 < \frac{\bar{x}-25}{10/\sqrt{100}} < 1.645 23.355 < \bar{x} < 26.645 the probability that we make type II error is P(23.355 <\bar{x} < 26.645 | \mu =26) =P(Z < \frac{26.645-26}{10/\sqrt{10}})-P(Z < \frac{23.355-26}{10/\sqrt{10}}) =P(Z < 0.645)-P(Z < -2.645) =0.7405-0.0041 =0.7364

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