Question

How do you decide whether to reject or fail to reject the null hypothesis? [1 sentence]

How do you tell whether the test is left, right, or two tailed? [3 bullets]

Why can we never accept the null hypothesis? [2 sentences]

Why does decreasing the probability of making a type one error increase the probability of making a type two error? [2 sentences]

How does a researcher decide the level of significance for a hypothesis test? [3 sentences]

Please answer all questions. This is one Problem. I will rate very fast and high. Thank you.

Answer 1

If the p value is less than the significance level The we can decide whetther to reject or fail to reject the null hypothesis

By using alternative hypothesis we can tell if the hypothesis is greater than we can tell it is right tailed if it is less than it is left tail and not equals to it is two tailedd

A null hypothesis is not accepted just because it is not rejected. Data not sufficient to show convincingly that a difference between means is not zero do not prove that the difference is zero

When the null hypothesis is false and you fail to reject it, you make a type II error. The probability of making a type II error is β, which depends on the power of the test.

The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true.