Lecture 3- ANOVA

Question 1

What is ANOVA and what is an example

Question 2

what is an independent sample t-test and an example

Question 3

what does ANOVA stand for

Question 4

why do we not do multiple tests

Question 5

how many p values does ANOVA give

Question 6

what type of error do does ANOVA reduce

Question 7

what variables relate to ANOVA and what does it assume

Question 8

what do we need to find before we look into an anova test

Question 9

what 2 types of variation does data in tables have

Question 10

what does H0 mean

Question 11

what does H1 mean

Question 12

ANOVA allows the determination of how much of the variance can be explained….

Question 13

what does one way ANOVA produce (ratio)

Question 14

what is the equation for the f ratio

Question 15

what is the f ratio compared to

Question 16

what does ANOVA overall tell us.

Question 17

what test is preformed following a significant ANOVA

Question 18

when are post hoc tests done

Question 19

what is a priori

Question 20

what is a post hoc test

Question 21

what are 2 examples of post hoc tests

Question 22

what is the Turkey test and when is it used

Question 23

what’s bonferroni

Question 24

can multiple comparisons with multiple groups get confusing

Question 25

what letters denote significant differences between groups as determined from Tukey post hoc tests

Question 26

do we present the p values obtained from post hoc tests

Question 27

what are superscript letters

Question 28

what does those with similar superscripts mean

Question 29

what do those with different superscripts mean

Question 30

what are the 3 examples of superscript letters

Question 31

we run ANOVA to reduce what error

Question 32

When are Tukey tests run