Chapter 4 The Normal Distribution EPS 625 Statistical Methods Applied to Education I.

Slides:



Advertisements
Similar presentations
Chapter 5 Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population Versus Sample.
Advertisements

Normal Distribution 2 To be able to transform a normal distribution into Z and use tables To be able to use normal tables to find and To use the normal.
Statistics for the Behavioral Sciences
Chapter 6: Standard Scores and the Normal Curve
Z - SCORES standard score: allows comparison of scores from different distributions z-score: standard score measuring in units of standard deviations.
NORMAL CURVE Needed for inferential statistics. Find percentile ranks without knowing all the scores in the distribution. Determine probabilities.
The Normal distribution and z-scores:
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
Normal Distributions What is a Normal Distribution? Why are Many Variables Normally Distributed? Why are Many Variables Normally Distributed? How Are Normal.
Chapter Six z-Scores and the Normal Curve Model. Copyright © Houghton Mifflin Company. All rights reserved.Chapter The absolute value of a number.
Active Learning Lecture Slides For use with Classroom Response Systems Probability Distributions.
z-Scores What is a z-Score? How Are z-Scores Useful? Distributions of z-Scores Standard Normal Curve.
Chapter 11: Random Sampling and Sampling Distributions
Unit 5 Data Analysis.
Chapter 2 CREATING AND USING FREQUENCY DISTRIBUTIONS.
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
In this chapter, we will look at using the standard deviation as a measuring stick and some properties of data sets that are normally distributed.
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 6: The Normal Probability Distribution This chapter is to introduce you to the concepts of normal distributions.  E.g. if a large number of students.
A P STATISTICS LESSON 2 – 2 STANDARD NORMAL CALCULATIONS.
Chapter 8 Extension Normal Distributions. Objectives Recognize normally distributed data Use the characteristics of the normal distribution to solve problems.
Chapter 5 The Normal Curve. Histogram of Unemployment rates, States database.
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.
Essential Statistics Chapter 31 The Normal Distributions.
Chapter 6 Foundations of Educational Measurement Part 1 Jeffrey Oescher.
Normal Probability Distribution Using Normal Distribution for Probability.
Chapter 10 – Sampling Distributions Math 22 Introductory Statistics.
Slide Copyright © 2009 Pearson Education, Inc. AND Active Learning Lecture Slides For use with Classroom Response Systems Chapter 13 Statistics.
Chapter 6 USING PROBABILITY TO MAKE DECISIONS ABOUT DATA.
Psychology 290 – Lab 9 January Normal Distribution Standardization Z-scores.
Z-Score Review To translate a raw score into a z score (ex: what is the chance of finding a clerk who makes a particular income of 16k per year). We look.
July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 6 The Normal Distribution.
Chapter 9 Review Game. Question 1  On a scale of 1 to 10, ratings about school cafeteria food have a mean of 4.2 and a standard deviation of 1.6. If.
The Normal Distribution Lecture 20 Section Fri, Oct 7, 2005.
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.
Thinking Mathematically Statistics: 12.4 The Normal Distribution.
3.5 Applying the Normal Distribution – Z Scores Example 1 Determine the number of standard deviations above or below the mean each piece of data is. (This.
Practice Page # 21 Practice X = Stanford-Binet Y = WAIS b =.80 (15 / 16) =.75 a = 100 – (.75)100 = 25 Y = 25 + (.75)X = 25 + (.75)65 It’s.
 A standardized value  A number of standard deviations a given value, x, is above or below the mean  z = (score (x) – mean)/s (standard deviation)
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
What is the probability of picking an ace? Probability =
The Normal Distribution Lecture 20 Section Mon, Oct 9, 2006.
 The heights of 16-year-old males are normally distributed with mean 68 inches and a standard deviation 2 inches. Determine the z-score for: ◦ 70.
Section 2 Standard Units and Areas under the Standard Normal Distribution.
Hypothesis Testing with z Tests
Chapter 5 The Normal Curve.
Standard and non-standard
Other Normal Distributions
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
AP Statistics: Chapter 7
ANATOMY OF THE EMPIRICAL RULE
Measures of Central Tendency
Central Tendency Central Tendency – measures of location for a distribution Mode – the commonly occurring number in a data set Median – the middle score.
Chapter 1 Displaying the Order in a Group of Numbers.
Ch. 2 AP Statistics Practice Test
Hand out z tables.
Adding 2-Digit Numbers Name: ___________________________
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.
Standard deviation and the normal curve
Statistical Reasoning in Sports
Chapter 5 A Normal World.
Chapter 6: Probability.
Section 2.5 notes continued
Algebra 2 Normal Curve Analysis Practice
7.4 Hypothesis Testing for Proportions
Answer Key Practice Problems
Unit 2: Density Curves and the Normal Distribution Funky Figures
Presentation transcript:

Chapter 4 The Normal Distribution EPS 625 Statistical Methods Applied to Education I

Figure 4.3, page 85

Beginning on Page 634

What is the proportion of scores in a normal distribution between the mean and z = +0.52? Answer: 19.85%

What is the proportion of scores in a normal distribution between the mean and z = -1.89? Answer: 47.06%

What is the proportion of scores in a normal distribution between z = and z = +3.02? Therefore, the Area of Interest = = 57.40% Area A = 7.53% (and) Area B = 49.87%

What is the proportion of scores in a normal distribution between z = and z = +1.12? Therefore, the Area of Interest* = = 29.33% Area A = 7.53% (and) Area B (total) = 36.86%

What is the proportion of scores in a normal distribution between z = and z = -3.02? Therefore, the Area of Interest* = – = 13.60% Area A = 36.27% (and) Area B (total) = 49.87%

What is the proportion of scores in a normal distribution above z = +0.87? Area A (total beyond z = 0.00) = 50.00% (and) Area B = 30.78% Or – use “Area Beyond z” Column Locate z = 0.87 and you will find 19.22% Therefore, the Area of Interest = – = 19.22%

What is the proportion of scores in a normal distribution below z = +1.28? We know that Area A (total beyond z = 0.00) = 50.00% We find Area B = 39.97% Therefore, the Area of Interest = = 89.97%

What is the proportion of scores in a normal distribution above z = -2.00? We know that Area B (total beyond z = 0.00) = 50.00% We find Area A = 47.72% Therefore, the Area of Interest = = 97.72%

What is the proportion of scores in a normal distribution below z = -0.52? Area A = 19.85% (and) Area B (total beyond z = 0.00) = 50.00% Or – use “Area Beyond z” Column Locate z = 0.52 and you will find 30.15% Therefore, the Area of Interest = – = 30.15%