Standard Scores Dr. Richard Jackson © Mercer University 2005 All Rights Reserved.

Slides:



Advertisements
Similar presentations
Dispersion Using SPSS Output Hours watching TV for Soc 3155 students: 1. What is the range & interquartile range? 2. Is there skew (positive or negative)
Advertisements

For Explaining Psychological Statistics, 4th ed. by B. Cohen
Chapter 9: The Normal Distribution
Psy302 Quantitative Methods
The Normal Curve Z Scores, T Scores, and Skewness.
Types of Measurement Continuous –Underlying continuum Index of amount Intermediate numbers make sense Discreet –Is or is not –Usually use only whole numbers.
Z - SCORES standard score: allows comparison of scores from different distributions z-score: standard score measuring in units of standard deviations.
The Normal Distribution
The Normal distribution and z-scores:
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
z-Scores What is a z-Score? How Are z-Scores Useful? Distributions of z-Scores Standard Normal Curve.
1. Normal Curve 2. Normally Distributed Outcomes 3. Properties of Normal Curve 4. Standard Normal Curve 5. The Normal Distribution 6. Percentile 7. Probability.
Unit 5 Data Analysis.
1 Normal Distributions Heibatollah Baghi, and Mastee Badii.
Measures of Central Tendency
Basic Statistics Standard Scores and the Normal Distribution.
The Normal Distribution The “Bell Curve” The “Normal Curve”
Many times in statistical analysis, we do not know the TRUE mean of a population of interest. This is why we use sampling to be able to generalize the.
The Mean of a Discrete Probability Distribution
In 2009, the mean mathematics score was 21 with a standard deviation of 5.3 for the ACT mathematics section. ReferenceReference Draw the normal curve in.
Chapter 9 – 1 Chapter 6: The Normal Distribution Properties of the Normal Distribution Shapes of Normal Distributions Standard (Z) Scores The Standard.
Problem: Assume that among diabetics the fasting blood level of glucose is approximately normally distributed with a mean of 105mg per 100ml and an SD.
Chapter 5 The Normal Curve. In This Presentation  This presentation will introduce The Normal Curve Z scores The use of the Normal Curve table (Appendix.
Copyright © 2012 by Nelson Education Limited. Chapter 4 The Normal Curve 4-1.
Points in Distributions n Up to now describing distributions n Comparing scores from different distributions l Need to make equivalent comparisons l z.
Normal Distribution Section 2.2. Objectives  Introduce the Normal Distribution  Properties of the Standard Normal Distribution  Use Normal Distribution.
Answering Descriptive Questions in Multivariate Research When we are studying more than one variable, we are typically asking one (or more) of the following.
Measures of Dispersion & The Standard Normal Distribution 2/5/07.
Education 793 Class Notes Normal Distribution 24 September 2003.
Some probability distribution The Normal Distribution
Math II UNIT QUESTION: Can real world data be modeled by algebraic functions? Standard: MM2D1, D2 Today’s Question: How is a normal distribution used to.
The Normal Curve Packet #23. Normal Curve  Referred to as a bell- shaped curve  Perfect mesokurtic distribution.
Measures of Dispersion & The Standard Normal Distribution 9/12/06.
Chapter 6 The Normal Distribution. 2 Chapter 6 The Normal Distribution Major Points Distributions and area Distributions and area The normal distribution.
The Normal Curve & Z Scores. Example: Comparing 2 Distributions Using SPSS Output Number of siblings of students taking Soc 3155 with RW: 1. What is the.
Introduction to the Normal Distribution (Dr. Monticino)
Problem: Assume that among diabetics the fasting blood level of glucose is approximately normally distributed with a mean of 105mg per 100ml and an SD.
THE NORMAL DISTRIBUTION AND Z- SCORES Areas Under the Curve.
The Normal distribution and z-scores
The Abnormal Distribution
Practice Page 128 –#6.7 –#6.8 Practice Page 128 –#6.7 =.0668 = test scores are normally distributed –#6.8 a =.0832 b =.2912 c =.4778.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
Z-scores & Review No office hours Thursday The Standard Normal Distribution Z-scores –A descriptive statistic that represents the distance between.
Normal Distribution SOL: AII Objectives The student will be able to:  identify properties of normal distribution  apply mean, standard deviation,
Up to now, our discussion of the normal distribution has been theoretical. We know how to find the area under the normal bell curve using the normalcdf.
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
Normal Distribution.
Problem: Assume that among diabetics the fasting blood level of glucose is approximately normally distributed with a mean of 105mg per 100ml and an SD.
Normal Distribution.
Normal Distributions and Standard Scores
Theoretical Normal Curve
Practice A research was interested in the relation between stress and humor. Below are data from 8 subjects who completed tests of these two traits.
The Standard Normal Distribution
Use Normal Distributions
Unit 1 - Day 1 Introduction to
The Standard Normal Distribution
Normal Distribution.
the Normal Distribution
Empirical Rule MM3D3.
Year-3 The standard deviation plus or minus 3 for 99.2% for year three will cover a standard deviation from to To calculate the normal.
Quantitative Methods PSY302 Quiz Normal Curve Review February 6, 2017
Z Scores & the Normal Distribution
Practice #7.7 #7.8 #7.9. Practice #7.7 #7.8 #7.9.
Normal Distribution SOL: AII
Section 13.6 The Normal Curve
6.2 Use Normal Distributions
6.2 Use Normal Distributions
Normal Distribution.
STA 291 Spring 2008 Lecture 9 Dustin Lueker.
Normal Distribution.
Presentation transcript:

Standard Scores Dr. Richard Jackson © Mercer University 2005 All Rights Reserved

Standard Scores (SS) and the Unit Normal Curve Example: SAT and GRE

Standard Scores (SS) and the Unit Normal Curve SS is any measurement (score) that has been transformed from a raw score to a more meaningful score Example: SAT and GRE

SAT Scores Example: You scored 600 on Math section X ± 1 SD = 68% of subjects  You scored at the 84th centile (50% + 34%) f % % 50% +1 SD- 1 SD X = 500 SD = 100

Z Score Special type of standardized score Represents measures that have been transformed from raw scores /measures Represents the number of standard deviations a particular measure/score is above or below the mean

Z Score X - X s Z = Formula: Raw Z XX - XZ x X = 50 SD = 10

Z Scores The mean of all Z scores is 0 The SD of all Z scores is 1 All GRE scores are transformed into scores with mean of 500 and SD of 100 to make them more meaningful 500 f % 99% 95% X = 500 SD = 100

Transforming Raw Scores into SS Formula: SS = what you want your X to be + (Z) what you want your SD to be ()()

Transforming Raw Scores into SS Example X = Z = X = 500 SS = (100) = 600 Z = SD = 100 SD = f 8060RAW 0+1Z SS Converting raw score of 80 to SS with a X of 500 and SD of 100 Steps Calculate Z Score Choose what you want your mean and SD to be Plug into the SS equation

Other Example of SS IQ Scores X = 100 SD = 15 IQ of 130 is 2 SD ’ s above the mean and it places you at the 97.5 centile Only 2.5% of people scored higher than you SS 95% 2.5%2.5%

Normal Curve Bell Shaped Has its max y value at its mean Includes approximately 3 SD ’ s on each side Not skewed Mesokurtic Unit Normal Curve Total Area Under a Curve (AUC) is regarded as being equal to Unity (or 1) X = 0 SD = 1 f 0 x y

Relationship of AUC to Proportion of Subjects in Study f 0 x y

Table IV Normal curve area The numbers in body of table represent the AUC between the mean and a particular Z Score value Z

Examples Z = Z (43.32%) Table IV Normal Curve Areas 50% 1.50 from Table IV What % of subjects fall below Z score of 1.5? 50% % = 93.32% C 93.32

Examples Z = Z (47.72%) Table IV Normal Curve Areas from Table IV

(4.4%) Z+1.5 Examples Find the AUC between Z=1.50 and Z= from Table IV from Table IV (4.4%) = (4.4%) Z+1.5

Example Assume that among diabetics the fasting blood level of glucose is approximately normally distributed with a mean of 105 mg per 100 ml and an SD of 9 mg per 100 ml. 1. What proportion of diabetics have levels between 90 and 125mg per 100ml? 2. What level cuts off the lower 10 percent (10 th centile) of diabetics? 3. What levels equidistant from the mean encompass 95 percent of diabetics?

Active Learning Exercise: SS and the Normal Curve 1. What proportion of diabetics have levels between 90 and 125mg per 100ml? X = 105 SD = Z 90 = = Z 125 = = from Table IV from Table IV (93.93%) = X=

Active Learning Exercise: SS and the Normal Curve 2. What level cuts off the lower 10 percent (10 th centile) of diabetics? X = X = X = 93.5 X - X s Z = Z1.28 from Table IV X = 105 SD = 9 ?

Active Learning Exercise: SS and the Normal Curve 3. What levels equidistant from the mean encompass 95 percent of diabetics? X = Z = +1.96Z = X = 105 SD = 9 X = X = 87.4 X - X s Z = X = X = X - X s Z = Z from Table IV Z from Table IV