Chapter 12 Flashcards
1
Q
two group experiment analysis
A
t-test
2
Q
t-tests
A
difference between group means relative to error variance
3
Q
formula of t-test
A
(mean1-mean2)/error variance
4
Q
if calculated value exceeds the critical value
A
then the difference is consered to be statisically significant
5
Q
multiple t-test increase
A
type 1 error
6
Q
ANOVA
A
calculates a statstic called the F ratio
7
Q
f ration
A
systematic variabce/error variance
8
Q
sum of squares between group
A
effect of IV
9
Q
when f ratio =1
A
systematic=error
10
Q
as F increases,
A
systematic > error; more likely the independent variable has caused the differences in groups means
11
Q
what can f ratio not tell us
A
which groups differ
