Normal Probability Distributions Chapter 5. § 5.3 Normal Distributions: Finding Values.

Slides:



Advertisements
Similar presentations
Section 5.3 Normal Distributions: Finding Values 1Larson/Farber 4th ed.
Advertisements

Chapter Normal Probability Distributions 1 of © 2012 Pearson Education, Inc. All rights reserved. Edited by Tonya Jagoe.
5.1 Normal Probability Distributions Normal distribution A continuous probability distribution for a continuous random variable, x. The most important.
5 Normal Probability Distributions
Normal Probability Distributions
The Standard Normal Curve Revisited. Can you place where you are on a normal distribution at certain percentiles? 50 th percentile? Z = 0 84 th percentile?
Normal Probability Distributions
Note 7 of 5E Statistics with Economics and Business Applications Chapter 5 The Normal and Other Continuous Probability Distributions Normal Probability.
Normal Distributions: Finding Values
Slide 4- 1 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Active Learning Lecture Slides For use with Classroom Response.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
BCOR 1020 Business Statistics Lecture 13 – February 28, 2008.
Chapter 11: Random Sampling and Sampling Distributions
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Unit 5 Data Analysis.
Section 5.4 Normal Distributions Finding Values.
Normal Probability Distributions 1. Section 1 Introduction to Normal Distributions 2.
Hypothesis Testing with Two Samples
§ 5.2 Normal Distributions: Finding Probabilities.
Hypothesis Testing with Two Samples
Slide Slide 1 Chapter 6 Normal Probability Distributions 6-1 Overview 6-2 The Standard Normal Distribution 6-3 Applications of Normal Distributions 6-4.
Confidence Intervals Chapter 6. § 6.1 Confidence Intervals for the Mean (Large Samples)
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 6-1 Review and Preview.
Hypothesis Testing with One Sample Chapter 7. § 7.3 Hypothesis Testing for the Mean (Small Samples)
Essential Statistics Chapter 31 The Normal Distributions.
Chapter 6.1 Normal Distributions. Distributions Normal Distribution A normal distribution is a continuous, bell-shaped distribution of a variable. Normal.
§ 5.4 Normal Distributions: Finding Values. Finding z-Scores Example : Find the z - score that corresponds to a cumulative area of z
Introduction to Probability and Statistics Thirteenth Edition
Correlation and Regression Chapter 9. § 9.3 Measures of Regression and Prediction Intervals.
Hypothesis Testing with One Sample Chapter 7. § 7.2 Hypothesis Testing for the Mean (Large Samples)
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 6- 1.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 6 Probability Distributions Section 6.2 Probabilities for Bell-Shaped Distributions.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 7 Section 2 – Slide 1 of 32 Chapter 7 Section 2 The Standard Normal Distribution.
Slide Slide 1 Lecture 6&7 CHS 221 Biostatistics Dr. Wajed Hatamleh.
The Normal Distribution
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
MATB344 Applied Statistics Chapter 6 The Normal Probability Distribution.
Normal Distribution Links The Normal Distribution Finding a Probability Standard Normal Distribution Inverse Normal Distribution.
Normal Distributions: Finding Values Larson/Farber 4th ed1.
Confidence Intervals Chapter 6. § 6.3 Confidence Intervals for Population Proportions.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 6-3 Applications of Normal Distributions.
Introduction to Probability and Statistics Thirteenth Edition Chapter 6 The Normal Probability Distribution.
Chapter 6 The Normal Distribution.  The Normal Distribution  The Standard Normal Distribution  Applications of Normal Distributions  Sampling Distributions.
Discrete Probability Distributions Chapter 4. § 4.2 Binomial Distributions.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Slide Slide 1 Suppose we are interested in the probability that z is less than P(z < 1.42) = z*z*
Section 6-1 Overview. Chapter focus is on: Continuous random variables Normal distributions Overview Figure 6-1 Formula 6-1 f(x) =  2  x-x-  )2)2.
Confidence Intervals Chapter 6. § 6.1 Confidence Intervals for the Mean (Large Samples)
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.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
Finding values Given a Probability
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
Normal Probability Distributions 1 Larson/Farber 4th ed.
Statistics III. Opening Routine ( cont. ) Opening Routine ( 10 min) 1- How many total people are represented in the graph below?
Chapter 7 Estimation. Chapter 7 ESTIMATION What if it is impossible or impractical to use a large sample? Apply the Student ’ s t distribution.
Section 5.3 Normal Distributions: Finding Values © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
Normal Distribution and Z-scores
MATB344 Applied Statistics
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Normal Probability Distributions
Objectives Find probabilities for normally distributed variables
Distributions Chapter 5
Normal Probability Distributions
Finding Probabilities
Chapter 5 Normal Probability Distributions.
Lecture 12: Normal Distribution
Normal Probability Distributions
Chapter 5 Normal Probability Distributions.
Presentation transcript:

Normal Probability Distributions Chapter 5

§ 5.3 Normal Distributions: Finding Values

Larson & Farber, Elementary Statistics: Picturing the World, 3e 3 Finding z-Scores Example : Find the z - score that corresponds to a cumulative area of z Find the z - score by locating in the body of the Standard Normal Table. The values at the beginning of the corresponding row and at the top of the column give the z - score. The z - score is Appendix B: Standard Normal Table

Larson & Farber, Elementary Statistics: Picturing the World, 3e 4 Finding z-Scores Example : Find the z - score that corresponds to a cumulative area of z   Find the z - score by locating in the body of the Standard Normal Table. Use the value closest to     Appendix B: Standard Normal Table Use the closest area. The z - score is  

Larson & Farber, Elementary Statistics: Picturing the World, 3e 5 Finding a z-Score Given a Percentile Example : Find the z - score that corresponds to P 75. The z - score that corresponds to P 75 is the same z - score that corresponds to an area of The z - score is ?μ =0 z 0.67 Area = 0.75

Larson & Farber, Elementary Statistics: Picturing the World, 3e 6 Transforming a z-Score to an x-Score To transform a standard z - score to a data value, x, in a given population, use the formula Example : The monthly electric bills in a city are normally distributed with a mean of $120 and a standard deviation of $16. Find the x - value corresponding to a z - score of We can conclude that an electric bill of $ is 1.6 standard deviations above the mean.

Larson & Farber, Elementary Statistics: Picturing the World, 3e 7 Finding a Specific Data Value Example : The weights of bags of chips for a vending machine are normally distributed with a mean of 1.25 ounces and a standard deviation of 0.1 ounce. Bags that have weights in the lower 8% are too light and will not work in the machine. What is the least a bag of chips can weigh and still work in the machine? The least a bag can weigh and still work in the machine is 1.11 ounces. ? 0 z 8% P(z < ?) = 0.08 P(z <  1.41) = 0.08  x ? 1.11