Download presentation
Presentation is loading. Please wait.
Published byJune Summers Modified over 9 years ago
1
Chapter 7 Lesson 7.7 Random Variables and Probability Distributions 7.7: Checking for Normality
2
Gas Mileage Revisited Given that the distribution of the fuel efficiency of cars in CA has a mean of 24 mpg and a standard deviation of 6 mpg, what percent of cars get less than 23 mpg (my Mini Cooper’s gas mileage.) What did you assume to get to your answer?
3
Normal or Not Normal Distribution? LA Lakers players’ salaries Number of Green M&Ms in a standard plain bag of M&Ms Head circumference of male seniors at SMHS Scores on a test
4
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Are You Normal? How Can You Tell? When you actually have your own data, you must check to see whether a Normal model is reasonable. Looking at a histogram of the data is a good way to check that the underlying distribution is roughly unimodal and symmetric.
5
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Are You Normal? How Can You Tell? (cont.) A more specialized graphical display that can help you decide whether a Normal model is appropriate is the Normal probability plot. If the distribution of the data is roughly Normal, the Normal probability plot approximates a diagonal straight line. Deviations from a straight line indicate that the distribution is not Normal.
6
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Are You Normal? How Can You Tell? (cont.) Nearly Normal data have a histogram and a Normal probability plot that look somewhat like this example:
7
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Are You Normal? How Can You Tell? (cont.) A skewed distribution might have a histogram and Normal probability plot like this:
8
Make a Histogram for the ______ in our class Make a Normal Probability plot TI time!
9
Homework Pg.373: #7.78, 79
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.