Recall that doing many statistical tests increases the overall chance of a Type I error. If we used an a = 0.05 threshold for each test and the null hypothesis is actually true for all the tests, how many tests would we need to do before our risk of making at least one Type I error reaches 50%? Show all the steps in your calculation and remember that logarithms can be useful for solving equations with exponents.

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The Answer of Recall that doing many statistical tests increases the overall chance of a Type I error. If we used an a = 0.05 threshold for each test and the null hypothesis is actually true for all the tests, how many tests would we need to do before our risk of making at least one Type I error reaches 50%? Show all the steps in your calculation and remember that logarithms can be useful for solving equations with exponents.

Recall That Doing Many Statistical Tests Increases the Overall Chance