Utilisateur
Single Sample
Paired-samples
Independant samples
Paired samples
When no population SD is provided
There is more than one sample
It is harder to find signifigance
the z distribution becomes wider
Degrees of Freedom
Over generalize
30
Standard Error
When you don't know the SD
Using a provided tabled with the degrees of freedom and alpha
It can be both
t value gets larger
p value gets smaller
Determine what is bigger, the t-obtained or the t-critical
We can reject the null
It is signifigant
We fail to reject the null
The test statistic
0.20
.50
0.80
Independant-samples
No difference between the samples
Independant-samples
Distribution between means
Distribution of mean difference scores
Distribution of means
1) DV is a scale variable
2) Random samples are used
3) Population is normal
4) There is equal variance
It can be used as long as one variance is not 4 times larger than the other variance
No
it is bad because the probability that the null is correct is higher