Hypothesis Testing And Probability L3

Question 1

In statistics what do we test?

Answer 1

We test whether the null hypothesis is true. Ideally the null will be rejected, signifying that there is a relationship/difference not due to chance. This occurs when p<0.05

Question 2

What is a type 1 error?

Answer 2

When you reject the null hypothesis when it is actually true

Question 3

What is a type II error?

Answer 3

When you don’t reject the null hypothesis when it is false

Question 4

What is a problem with significance testing?

Answer 4

When you run a test there is a 5% chance that iis due to sampling error, running multiple tests increases likelihood of an error occurring.

Question 5

What does power refer to?

Answer 5

The probability of rejecting the null hypothesis when the null hypothesis is false.
It ranges from 0-1 and more participants yields more power.