# Lecture 4 - Testing Assumptions of ANOVA Flashcards

1
Q

What effect does performing multiple statistical tests on a set of data have on error likeliehood?

A

It makes us more likely to make a type 1 error (false discovery)

2
Q

What is a per comparison error

A

A type 1 error (false discovery) made involving a single statistical test

3
Q

What is familywise error rate?

A

the chance of making one or more false discoveries (type 1 errors) when performing multiple statistical tests familywise error rate = per comparison error rate multiplied by number of comparisons (tests) you’ve done It’s a probability - the familywise error rate for 3 tests might come out as 1, but we may make 0, 1, 2 or 3, it is just most likely to be 1.

4
Q

What is the equation for familywise error rate?

A

afw=c(pc)

5
Q

What do we do with planned comparisons when we have used multiple statistical tests?

A

We ignore the theoretical increase in type 1 errors and simply reject or accept the null hypothesis as usual.

6
Q

What do we do with post-hoc tests when we have done multiple statistical tests?

A

We cannot ignore the theoretical increased chance of making a type 1 error.

This is why we use post-hoc tests that decrease the likeliehood of making a type 1 error - but this does mean that you have an increased chance of making a type 2 error (incorrect rejection)

MAKE SURE TO SAY THIS IN YOUR RESULTS SECTION! IT WILL LOOK REALLY GOOD!