Areas Under Any Normal Curve

Slides:



Advertisements
Similar presentations
Sections 5.1 and 5.2 Finding Probabilities for Normal Distributions.
Advertisements

Areas Under Any Normal Curve
How do I use normal distributions in finding probabilities?
Chapter 8 – Normal Probability Distribution A probability distribution in which the random variable is continuous is a continuous probability distribution.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Z Score The z value or z score tells the number of standard deviations the original.
Section 5.4 Normal Distributions Finding Values.
Unit 4: Normal Distributions Part 3 Statistics. Focus Points Find the areas under the standard normal curve Find data from standard normal table.
§ 5.2 Normal Distributions: Finding Probabilities.
Areas Under Any Normal Curve
Normal Curve with Standard Deviation |  + or - one s.d.  |
BIA2610 – Statistical Methods Chapter 6 – Continuous Probability Distributions.
Chapter Six Normal Curves and Sampling Probability Distributions.
1 1 Slide Continuous Probability Distributions n A continuous random variable can assume any value in an interval on the real line or in a collection of.
The Normal Distribution James H. Steiger. Types of Probability Distributions There are two fundamental types of probability distributions Discrete Continuous.
Applications of the Normal Distribution
7.3 APPLICATIONS OF THE NORMAL DISTRIBUTION. PROBABILITIES We want to calculate probabilities and values for general normal probability distributions.
Section 6.3 Finding Probability Using the Normal Curve HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
CONTINUOUS RANDOM VARIABLES AND THE NORMAL DISTRIBUTION.
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.
Areas Under Any Normal Curve. EXAMPLE : A computer company wants to guarantee their latest laptop. The research department testing has shown that.
Table A & Its Applications - The entry in Table A - Table A’s entry is an area underneath the curve, to the left of z Table A’s entry is a proportion of.
Chapter 7 Lesson 7.6 Random Variables and Probability Distributions 7.6: Normal Distributions.
7.2 The Standard Normal Distribution. Standard Normal The standard normal curve is the one with mean μ = 0 and standard deviation σ = 1 We have related.
Z Score The z value or z score tells the number of standard deviations the original measurement is from the mean. The z value is in standard units.
Continuous Random Variables Continuous random variables can assume the infinitely many values corresponding to real numbers. Examples: lengths, masses.
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2011 Pearson Education, Inc. Chapter 16 Continuous Random.
Discrete and Continuous Random Variables. Yesterday we calculated the mean number of goals for a randomly selected team in a randomly selected game.
Monday February 24 Notes – Section 6.2 PART 1 Standard Units and Areas Under the Standard Normal Distribution Homework due Tuesday: A#6.21 pages 256 –
Review Continuous Random Variables Density Curves
STT Normal Distribution (Background) 6.3 Areas Under the Normal Curve 6.4 Application of the Normal Distribution.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
Copyright © Cengage Learning. All rights reserved. Normal Curves and Sampling Distributions 7.
Section 5.1 Introduction to Normal Distributions © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
Standardizing a Normal Distribution into a Standard Normal Distribution.
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
7.3 Areas Under Any Normal Curve Example1: Let x have a normal probability distribution with μ = 4 and σ = 2. Find the probability that x value selected.
Copyright © Cengage Learning. All rights reserved. Normal Curves and Sampling Distributions 6.
Review Continuous Random Variables –Density Curves Uniform Distributions Normal Distributions –Probabilities correspond to areas under the curve. –the.
MATB344 Applied Statistics
Chapter 7 The Normal Probability Distribution
Finding Probability Using the Normal Curve
Finding Probabilities
6 Normal Curves and Sampling Distributions
6 Normal Curves and Sampling Distributions
Applications of the Normal Distribution
Standard Units and the Areas Under the Standard Normal Distribution
Finding z-scores using Chart
Estimating p in the Binomial Distribution
Estimating µ When σ is Unknown
Introduction to Probability and Statistics
Chapter Six Normal Distributions.
No Tutoring Today! Warm-Up… Quickwrite…
Estimating µ When σ is Known
CONTINUOUS RANDOM VARIABLES AND THE NORMAL DISTRIBUTION
The Normal Distribution
How do I use normal distributions in finding probabilities?
Applications of the Normal Distribution
Use the graph of the given normal distribution to identify μ and σ.
Applications of the Normal Distribution
Copyright © Cengage Learning. All rights reserved.
Areas Under Any Normal Curve
Standard Units and the Areas Under the Standard Normal Distribution
MATH 2311 Section 4.3.
Estimating µ When σ is Unknown
Estimating µ When σ is Known
Introduction to Normal Distributions
Presentation transcript:

Areas Under Any Normal Curve Section 8.3

Objectives Compute the probability of “standardized events.” Find a z score from a given normal probability (inverse normal). Use the inverse normal to solve guarantee problems.

Normal Distribution Areas In many applied situations, the original normal curve is not the standard normal curve. Give probability that a x will fall into an interval from a to b. Convert the original measurements x, a, and b to z-values.

Example–Normal distribution probability Let x have a normal distribution with  = 10 and  = 2. Find the probability that an x value selected at random from this distribution is between 11 and 14. Find P(11  x  14).

Example–Solution We use the formula to convert the given x interval to a z interval. (Use x = 11,  = 10,  = 2.) (Use x = 14,  = 10,  = 2.)

Example–Solution P(11  x  14) = P(0.50  z  2.00) = P(z  2.00) – P(z  0.50) = 0.9772 – 0.6915 = 0.2857 Interpretation The probability is 0.2857 that an x value selected lies between 11 and 14.

Example–Normal distribution probability Let x have a normal distribution with  = 42 and  = 7. Find the probability that an x value selected at random from this distribution is between 39 and 48.

Example–Solution P(39  x  48) = P(-.43  z .86) = P(z  -.43) – P(z  .86) = .8051 – .3336 = .4715 Interpretation The probability is 47.15% that an x value selected lies between 39 and 48.

Inverse Normal Distribution Sometimes we need to find z or x values that correspond to a given area under the normal curve. Find an area then find the corresponding z value, this is the inverse normal probability distribution.

Example–Find x, given probability Magic Video Games, Inc., sells a video games package. Because the package is so expensive, the company wants to advertise an impressive guarantee for the life expectancy of its computer control system. The guarantee policy will refund the full purchase price if the computer fails during the guarantee period. The research department has done tests that show that the mean life for the computer is 30 months, with standard deviation of 4 months.

Example–Find x, given probability The computer life is normally distributed. How long can the guarantee period be if management does not want to refund the purchase price on more than 7% of the Magic Video packages? Distribution of lifetimes for the computer control system Shade the portion of the distribution when the computer lasts less than the guarantee period. 7% of the Computers Have a Lifetime Less Than the Guarantee Period

Example–Solution Area in a left tail, we can use Table 5. The area value is 0.0700. Area is not in our table, use the closest area, which is 0.0694, and the corresponding z value of z = –1.48 Excerpt from Table 5 of Appendix II

Example–Solution Now translate this value back to an x value (in months) x = z +  = –1.48(4) + 30 (Use  = 4 months and  = 30 months.) = 24.08 months Interpretation The company can guarantee the Magic Video Games package for x = 24 months. For this guarantee period, they expect to refund the purchase price of no more than 7% of the video games packages.

Example–Find x, given probability Let x have a normal distribution with  = 13 and  = 3. Find the x value given an upper 45% probability. Distribution of x - values Shade the portion of the distribution x is the upper 45%

Example–Solution Now translate this value back to an x value x = z +  =.13(3) + 13 (Use  = 3 and  = 13) = 13.39 Interpretation 45% of the x – values is greater than x = 13.39.

8.3 Areas Under Any Normal Curve Summarize Notes Read section 8.3 Homework Worksheet