ANOVA

Question 1

differences between t test and anova:

t test: one sample, __ independent samples, paired samples

Anova: one way and factorial

Answer 1

2

Question 2

a t test can be used to compare more than two groups (example- conditions) true or false?

Answer 2

false

Question 3

we can use __ to compare more than 2 (without worrying about increasing type I error

Answer 3

anova

Question 4

for 1 iv: one way anova

for 2 or more: __ anova

Answer 4

factorial

Question 5

null hypothesis: all means are the __

alliterative hypothesis: means are not the same but it does __ tell which ones

Answer 5

same, not

Question 6

analysis of variance ( anova): compares the amount that is due to ___ changes in the IV (__ - group variance) to variance that is due to random error (within groups variance) for 3 groups or more.

between groups variance/ within groups variance = variance due to iv/ error variance .

Answer 6

systematic, between

Question 7

analysis of variance: the f statistic: the f - statistic is the ratio of the 2 __.
f = between groups variance/ within groups variance

as with any ration, F will increase if either

1) the between groups variance __ or
2) the ___ variance decreases

Answer 7

variances, increases, within group

Question 8

we will use the f- ratio to calculate _ - values and significant differences : between - group > within group variance

if the anova can explain more of the variability due to conditions than error, then the condition had a __ effect on the outcome.

• the more __ - group variance, the higher the _ - ratio
• the larger the F- ratio, the higher probability of __ the null hypothesis
• the higher your F statistic, the more likely your groups are statistically __ from each other

Answer 8

P, between, F, rejecting, different

Question 9

we can make our differences more statistically significant by __ the between - groups variance.
- you decrease within groups variance by making your sample more __
- minimizing measurement error by having good iv and dvs
ensuring that the participants have the exact same experience, except the changes in the IV .

Answer 9

decrease, homogenous

Question 10

we can make our differences more statistically significant by increasing the between - groups variance.
- you increase between groups- variance by making your __ stronger

Answer 10

manipulation

Question 11

writing the results from the anova : f ( #,#) =#, p = #

Answer 11

.

Question 12

anova is used to test for group differences between _ or more groups
anova can be used with both __ and one way designs
anova works by comparing between group differences to within groups - a ratio known as the _ statistic
the bigger the F statistic, the less likely it is that group differences are due to __ (sampling error) . instead, it is likely that they are due to the effects of our __ .

Answer 12

3, factorial, f, IV