Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.

Slides:



Advertisements
Similar presentations
Lesson 7 - QR Quiz Review.
Advertisements

Section 5.1 Introduction to Normal Distributions and the Standard Normal Distribution.
Chapter 9: The Normal Distribution
How do I use normal distributions in finding probabilities?
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
6-2 The Standard Normal Distribution
The Normal Distribution
Ch 11 – Probability & Statistics
6.3 Use Normal Distributions
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.
Chapter 13 Section 7 – Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Chapter Six Normal Curves and Sampling Probability Distributions.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-5 The Normal Distribution.
Essential Statistics Chapter 31 The Normal Distributions.
Math 10 Chapter 6 Notes: The Normal Distribution Notation: X is a continuous random variable X ~ N( ,  ) Parameters:  is the mean and  is the standard.
Modular 11 Ch 7.1 to 7.2 Part I. Ch 7.1 Uniform and Normal Distribution Recall: Discrete random variable probability distribution For a continued random.
Normal Curves and Sampling Distributions Chapter 7.
Lesson 2 - R Review of Chapter 2 Describing Location in a Distribution.
7.3 and 7.4 Extra Practice Quiz: TOMORROW THIS REVIEW IS ON MY TEACHER WEB PAGE!!!
The Normal Distribution. The Area under the curve The area under the curve represents everything: 100%.
Normal Distributions. Density Curve A density curve is a smooth function meant to approximate a histogram. A density curve is a smooth function meant.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Welcome to MM150 Seminar 9: Statistics, Part II To resize your pods: Place your mouse here. Left mouse click and hold. Drag to the right to enlarge the.
Solve by Factoring Zero Product Property.
+ Chapter 2: Modeling Distributions of Data Section 2.2 Normal Distributions The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
Lesson 2 - R Review of Chapter 2 Describing Location in a Distribution.
7.2 Standard Normal Distribution Obj: Find the area under the standard normal curve and use area to find Z-scores.
Unit 6 Section : Introduction to Normal Distributions and Standard Normal Distributions  A normal distribution is a continuous, symmetric, bell.
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
The Normal Distribution Name:________________________.
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.
Normal distribution 1. Learn about the properties of a normal distribution 2. Solve problems using tables of the normal distribution or your calculator.
CHAPTER 5: THE NORMAL DISTRIBUTION Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society.
Section 2 Standard Units and Areas under the Standard Normal Distribution.
Note: Normal Distribution Many sets of data collected in nature and other situations fit what is called a normal distribution. This means the data would.
Chapter 7 The Normal Probability Distribution
Distributions Chapter 5
Chapter 2: Modeling Distributions of Data
The Standard Normal Distribution
Using the Empirical Rule
THE STANDARD NORMAL DISTRIBUTION
Chapter 12 Statistics 2012 Pearson Education, Inc.
Sec. 2.1 Review 10th, z = th, z = 1.43.
Chapter 2: Modeling Distributions of Data
The Standard Normal Distribution
Use Normal Distributions
Standard Normal Calculations
Using the Empirical Rule
What % of Seniors only apply to 3 or less colleges?
NORMAL PROBABILITY DISTRIBUTIONS
Sections 5-1 and 5-2 Quiz Review Warm-Up
Chapter 2: Modeling Distributions of Data
Aim: what is the normal distribution?
Normal Probability Distributions
Using the Normal Distribution
7-7 Statistics The Normal Curve.
How do I use normal distributions in finding probabilities?
Use the graph of the given normal distribution to identify μ and σ.
MATH 2311 Section 4.1.
MATH 2311 Section 4.3.
Chapter 2: Modeling Distributions of Data
Chapter 3 Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Introduction to Normal Distributions
Section 9.5 The Bell Curve.
Continuous Random Variables
Introduction to Normal Distributions
Normal Probability Distribution Lecture 1 Sections: 6.1 – 6.2
Chapter 12 Statistics.
Presentation transcript:

Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve. Properties of a normal distribution 1. About 68% of the data is within one standard deviation of the mean. 2. About 95% of the data is within two standard deviations of the mean. 3. About 99% of the data is within three standard deviations of the mean.

The standard normal distribution is the normal distribution having a mean of zero and a standard deviation of one. Its graph is called the standard normal curve. The equation of the standard normal curve is :. The area under the curve is one. The area under the curve to the left of a number z is the proportion of the data having standard values less than z. Shaded area = P(z) = proportion of the data less than z.

The value of P(z) is called a percentile. A percentile indicates the percent of people who scored lower than someone with a standard value of z. See table on page 664 ww.measuringusability.com/pcalcz.php Find P(-2.1) Find P(-.6) Find P(1.8)

On a test the mean score was 75 and the standard deviation was 8. Find the percent of students that scored less than 87. To find percentiles (the percent of the data less than the z score) using normal distributions 1. menu 2. statistics 3. distributions 4. normal Cdf 5. lower bound = 0 6. upper bound = 7. μ = 0 8. ϭ = 1

In a reaction test the responses were normally distributed with a mean of 12 seconds and a standard deviation of 2.5 seconds. Find the percent of test subjects whose reaction times were between 5 and 8 seconds. To find the percent of the data between two z scores using normal distributions 1. menu 2. statistics 3. distributions 4. normal Cdf 5. lower bound = 6. upper bound = 7. μ = 0 8. ϭ = 1

On a standardized test, the mean was 70 and the standard deviation was 4. What score would you have to make in order to score at the 90 th percentile? To find the z score based on the percentile (area under curve) 1. menu 2. statistics 3. distributions 4. inverse Normal 5. Area = 6. μ = 0 7. ϭ = 1

Assignment Page 667 Problems 1,4,6,8,10,11,12,14,15