Download presentation
Presentation is loading. Please wait.
1
The Normal Curve Z Scores, T Scores, and Skewness
2
The Normal Curve We learned how to calculate the SD –But what does it mean? We understand more about the SD once we understand the normal curve
3
Z Scores Z score - raw score expressed in standard deviation units If we know the mean and SD we can calculate the Z score
4
Z Scores and the Percentage of Area Under the Curve Percentage of area under curve between mean and any Z score is known and constant
5
Converting Z Scores to Percentile Scores Using table A we can determine the percentile value of the raw score from the Z score Standard scores
6
Areas Under the Normal Curve What if we want to know the area between 2 scores? Take Z scores for each Determine area below each Z score –p 1 -p 2
7
T Scores Standard score Typically used in education settings Mean = 50; SD =10 T=10z+50 Created for general population –Not used much in statistical analysis
8
Calculating Skewness Skewness - measure of bilateral symmetry of the data Use Z scores to determine distribution of raw scores around the mean –Z 3 - 0 = normal curve –Z 3 - (+) = positive skew –Z 3 - (-) = negative skew
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.