Which of the following statements are not true? A statistical hypothesis is a cl
ID: 3293564 • Letter: W
Question
Which of the following statements are not true? A statistical hypothesis is a claim or assertion either the value of a single parameter about the values of several parameters, or about the form of an entire probability distribution. In any hypothesis-testing problem, there are two contradictory hypothesis under consideration. A test of hypothesis is a method for using sample data to decide whether the null hypothesis should be rejected. A type I error consists of not rejecting the null hypothesis Ho when Ho is false. None of the above statements are true.Explanation / Answer
A type 1 error consists of rejecting the null hypothesis H0 when it is true. A type II error involves not rejecting H0 when H0 is false.
Hence False option is d . A type 1 error consists of not rejecting the null hypothesis H0 when H0 is false
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