1
Q
Why do we use Z scores?
A
-To identify and describe the exact location of each score in a distribution
-To make a distribution easier to understand
2
Q
Properties of distributions of Z scores
A
-Retain shape of original distribution of scores
-Mean is 0
-Standard deviation is 1
3
Q
Z
A
The z score
-1.96 or 1.96
4
Q
σ
A
Standard deviation
5
Q
X
A
Raw score
6
Q
μ
A
Mean
7
Q
M
A
Sample mean
8
Q
S
A
Sample deviation
9
Q
SS
A
Sum of squares
10
Q
σ^2
A
Population variance
11
Q
N
A
Number of scores(when added up)
12
Q
How do Z Scores relate to inferential statistics? (3)
A
-They tell us about distribution placement/extreme scores
-Distance from mean in standard deviation
-Good comparison by turning apples and oranges into mangos
Data Analysis
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