A significance test about a proportion is conducted using a significance level of 0.025. The test statistic equals 1.33. The P-value is 0.10. a. If Upper H 0 were true, for what probability of a Type I error was the test designed? b. If this test resulted in a decision error, what type of error was it?
a. If Upper H 0 were true, for what probability of a Type I error was the test designed?
b. If this test resulted in a decision error, what type of error was it? Type II Type Upper I
Given that the level of significance is 0.025 . Whic is the probability of allowed type I error .
a. If Ho is true then the test is designed for probability of type I error of 0.025 .
b. Here the p Value is 0.10 . Which is more than the level of significance 0.025 . So this indicates that the Ho is true in this test . So we should not Reject Ho here .
But there is a decision error if we Reject the Null hypothesis Ho .
So we are Rejecting Ho when it is actually True. This is a Type I error .
Get Answers For Free
Most questions answered within 1 hours.