Z-Scores and Standard Normal Distribution Flashcards
What is the formula for transforming a raw score into a z-score?
Subtract the mean of the distribution from the score you want to transform and divide the result by the standard deviation of the distribution.
Raw-score - M / SD
Define what a z-score is
A score that is expressed in standard deviation units
What is a characteristic of the standard normal distribution?
Mean = 0
Standard deviation = 1
When transforming raw scores into z-scores as a linear transformation, what happens to the distribution?
Distribution of z-scores has the same shape as the distribution of raw scores.
The same even though has been transformed.
What is the bell shaped distribution of z-scores called?
Standard normal distribution
In a normal distribution how many cases fall between the values of –1 and 1 standard deviation?
68%
Linear transformation
Transforming a raw score into a z-score.
Every score is changed by multiplying or dividing by a constant, or adding or subtracting a constant, or both.
Relationships do not change.
What do you do in order to find out the percentage of scores falling above a z-score of 0.84?
- Look at table
- Read first column and find 0.8
- Read along second column and find 0.4
- Gives a number of 0.200
- This is equal to 20%
- 20% of scores fall above
What are the uses of z-scores?
- Knowing the percentile of a score on a variable
- Comparing a score on a variable with a score on another variable
- Knowing which score on a variable is at a specific percentile
Using z-scores, how do you work out the percentile of a score on a variable?
Raw score - mean score/ SD
Then look at table
Using z-scores, how do you compare a score on a variable with a score on another variable?
- Useful when have different units and want to compare
- Transform both scores into z-scores and compare.
- Formula Z = x - X / S
Using z-scores, how do you know which score on a variable is at a specific percentile?
E.g. want to select the top 25% of students. How to obtain a raw-score when you know the z-score.
Formula = X = (z) (Sx) + X
- Use table
- Search for value which then gives you the z-score
- Apply formula which applies to the z-score