Inferential Statistics Flashcards
1
Q
central limit theorem
A
random sampling distribution of means will always tend to be normal, if n is large enough
2
Q
standard error is:
A
the extent to which the sample means deviate from the true population mean
3
Q
standard error equation
A
standard deviation/ square root n
4
Q
standard error can be used to calculate Z score when:
A
population SD is known
n > 100
5
Q
equation for Z
A
Z = X- m / (standard error)
6
Q
when is t score used
A
population SD is not known
n
7
Q
equation for t
A
t = X- m / S/square root n
8
Q
finding CI
A
estimated value from data +/- (reliability coefficient x standard error)
9
Q
reliability coefficient
A
Z scores = 1.96
T scores = use df to find
10
Q
accuracy =
A
how close to actual value
11
Q
precision=
A
how close values are to each other
12
Q
width of CI represents
A
precision
more narrow = more precise
