MathCastle
Statistics & DataChallengeHypothesis Tests

Hypothesis Tests · Challenge problem

An analyst tests H0 ⁣:μ=50H_0\!: \mu = 50 against Ha ⁣:μ>50H_a\!: \mu > 50 with the statistic z=xˉ−5010/nz = \dfrac{\bar x - 50}{10/\sqrt n}, rejecting when z>1.645z > 1.645 (nominal level 0.050.05), because she believes the population standard deviation is 1010. In fact the population is normal with standard deviation 1212, and H0H_0 is true. What is the actual probability of a Type I error? Round to three decimal places.