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

Slides:



Advertisements
Similar presentations
Lecture 7 THE NORMAL AND STANDARD NORMAL DISTRIBUTIONS
Advertisements

4.3 NORMAL PROBABILITY DISTRIBUTIONS
5.2 The Standard Normal Distribution Statistics Mrs. Spitz Fall 2008.
Chapter 7 Section 2 The Standard Normal Distribution.
5 Normal Probability Distributions
Normal Distributions: Finding Values
Frequency Tables and Stem-and-Leaf Plots 1-3
Ethan Cooper (Lead Tutor)
QBM117 Business Statistics
Happiness comes not from material wealth but less desire.
Normal Distribution A random variable X having a probability density function given by the formula is said to have a Normal Distribution with parameters.
Chapter 6 The Normal Distribution Normal Distributions Bell Curve Area under entire curve = 1 or 100% Mean = Median – This means the curve is symmetric.
5.3 Normal Distributions: Finding Values
CHAPTER Discrete Models  G eneral distributions  C lassical: Binomial, Poisson, etc Continuous Models  G eneral distributions  C.
Copyright ©2006 Brooks/Cole A division of Thomson Learning, Inc. Introduction to Probability and Statistics Twelfth Edition Robert J. Beaver Barbara M.
Lesson 7 - QR Quiz Review.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 13–1) Then/Now New Vocabulary Example 1:Draw a Stem-and-Leaf Plot Example 2:Interpret Data Example.
Chapter Normal Probability Distributions 1 of © 2012 Pearson Education, Inc. All rights reserved. Edited by Tonya Jagoe.
Finding Z – scores & Normal Distribution Using the Standard Normal Distribution Week 9 Chapter’s 5.1, 5.2, 5.3.
Z-Scores are measurements of how far from the center (mean) a data value falls. Ex: A man who stands 71.5 inches tall is 1 standard deviation ABOVE the.
Based upon the Empirical Rule, we know the approximate percentage of data that falls between certain standard deviations on a normal distribution curve.
Overview The Standard Normal Distribution
The Normal Probability Distribution and Z-scores Using the Normal Curve to Find Probabilities.
5.1 Normal Probability Distributions Normal distribution A continuous probability distribution for a continuous random variable, x. The most important.
5 Chapter Normal Probability Distributions
5 Normal Probability Distributions
Normal Probability Distributions
Normal Probability Distributions
Normal Distributions: Finding Values
6-2 The Standard Normal Distribution
Normal Distributions Review
Section 5.4 Normal Distributions Finding Values.
Normal Probability Distributions 1. Section 1 Introduction to Normal Distributions 2.
§ 5.2 Normal Distributions: Finding Probabilities.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Continuous Random Variables Chapter 6.
§ 5.4 Normal Distributions: Finding Values. Finding z-Scores Example : Find the z - score that corresponds to a cumulative area of z
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 6 Probability Distributions Section 6.2 Probabilities for Bell-Shaped Distributions.
Chapter 5 Normal Probability Distributions 1. Chapter Outline 5.1 Introduction to Normal Distributions and the Standard Normal Distribution 5.2 Normal.
The Normal Distribution
Chapter Normal Probability Distributions 1 of © 2012 Pearson Education, Inc. All rights reserved.
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
Normal Distributions: Finding Values Larson/Farber 4th ed1.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
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.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
Finding values Given a Probability
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
MM 207 Unit #5 Normal Distribution © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
Section 5.1 Introduction to Normal Distributions © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
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?
Normal Probability Distributions Chapter 5. § 5.3 Normal Distributions: Finding Values.
Section 5.3 Normal Distributions: Finding Values © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
Chapter Normal Probability Distributions 1 of 25 5  2012 Pearson Education, Inc. All rights reserved.
Normal Probability Distributions
Introduction to Normal Distributions
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Objectives Find probabilities for normally distributed variables
Chapter 5 Normal Probability Distributions.
Finding Probabilities
Chapter 5 Normal Probability Distributions.
Normal Probability Distributions
Use the graph of the given normal distribution to identify μ and σ.
Normal Probability Distributions
Introduction to Normal Distributions
Chapter 6: Probability.
Chapter 5 Normal Probability Distributions.
Chapter 5 Normal Probability Distributions.
Chapter 5 Normal Probability Distributions.
Introduction to Normal Distributions
Presentation transcript:

Section 5.3 Normal Distributions: Finding Values 1Larson/Farber 4th ed

Section 5.3 Objectives Find a z-score given the area under the normal curve Transform a z-score to an x-value Find a specific data value of a normal distribution given the probability 2Larson/Farber 4th ed

Finding values Given a Probability In section 5.2 we were given a normally distributed random variable x and we were asked to find a probability. In this section, we will be given a probability and we will be asked to find the value of the random variable x. xz probability Larson/Farber 4th ed

Example: Finding a z-Score Given an Area Find the z-score that corresponds to a cumulative area of z 0 z Solution: 4Larson/Farber 4th ed

Solution: Finding a z-Score Given an Area Locate 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 Larson/Farber 4th ed

Example: Finding a z-Score Given an Area Find the z-score that has 10.75% of the distribution’s area to its right. z0 z Solution: 1 – = Because the area to the right is , the cumulative area is Larson/Farber 4th ed

Solution: Finding a z-Score Given an Area Locate 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 Larson/Farber 4th ed

Example: Finding a z-Score Given a Percentile Find the z-score that corresponds to P 5. Solution: The z-score that corresponds to P 5 is the same z-score that corresponds to an area of The areas closest to 0.05 in the table are (z = -1.65) and (z = -1.64). Because 0.05 is halfway between the two areas in the table, use the z-score that is halfway between and The z-score is z 0 z Larson/Farber 4th ed

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 x = μ + zσ 9Larson/Farber 4th ed

Example: Finding an x-Value The speeds of vehicles along a stretch of highway are normally distributed, with a mean of 67 miles per hour and a standard deviation of 4 miles per hour. Find the speeds x corresponding to z-sores of 1.96, -2.33, and 0. Solution: Use the formula x = μ + zσ z = 1.96:x = (4) = miles per hour z = -2.33:x = 67 + (-2.33)(4) = miles per hour z = 0:x = (4) = 67 miles per hour Notice mph is above the mean, mph is below the mean, and 67 mph is equal to the mean. 10Larson/Farber 4th ed

Example: Finding a Specific Data Value Scores for a civil service exam are normally distributed, with a mean of 75 and a standard deviation of 6.5. To be eligible for civil service employment, you must score in the top 5%. What is the lowest score you can earn and still be eligible for employment? ? 0 z 5% ? 75 x Solution: 1 – 0.05 = 0.95 An exam score in the top 5% is any score above the 95 th percentile. Find the z-score that corresponds to a cumulative area of Larson/Farber 4th ed

Solution: Finding a Specific Data Value From the Standard Normal Table, the areas closest to 0.95 are (z = 1.64) and (z = 1.65). Because 0.95 is halfway between the two areas in the table, use the z-score that is halfway between 1.64 and That is, z = z 5% ? 75 x 12Larson/Farber 4th ed

Solution: Finding a Specific Data Value Using the equation x = μ + zσ x = (6.5) ≈ z 5% x The lowest score you can earn and still be eligible for employment is Larson/Farber 4th ed

Section 5.3 Summary Found a z-score given the area under the normal curve Transformed a z-score to an x-value Found a specific data value of a normal distribution given the probability 14Larson/Farber 4th ed