5.5 Normal Approximations to Binomial Distributions

Slides:



Advertisements
Similar presentations
Probability Distribution
Advertisements

5.5 Normal Approximations to Binomial Distributions Statistics Mrs. Spitz Fall 2008.
AP Statistics 51 Days until the AP Exam
Normal Approximations to Binomial Distributions
5 Chapter Normal Probability Distributions
Normal Approximations to Binomial Distributions Larson/Farber 4th ed1.
Normal Approximation of the Binomial Distribution.
Section 7.4 Approximating the Binomial Distribution Using the Normal Distribution HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008.
Normal Probability Distributions
Sampling Distributions for Proportions Allow us to work with the proportion of successes rather than the actual number of successes in binomial experiments.
Essential Question: How do you calculate the probability of a binomial experiment?
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Section 6-6 Normal as Approximation to Binomial Created by.
Normal Approximation to Binomial Distribution Consider the binomial distribution with n trials, and probability of success is p This distribution is approximately.
Normal and Sampling Distributions A normal distribution is uniquely determined by its mean, , and variance,  2 The random variable Z = (X-  /  is.
Binomial Distributions
1 Chapter Seven Introduction to Sampling Distributions Section 3 Sampling Distributions for Proportions.
Discrete Probability Distributions. Probability Distributions.
Binomial Distributions
Normal Approximation Of The Binomial Distribution:
Section 5.5 Normal Approximations to Binomial Distributions Larson/Farber 4th ed.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Normal Distribution as an Approximation to the Binomial Distribution Section 5-6.
The Binomial Distribution
Binomial Distributions Calculating the Probability of Success.
5.5 Normal Approximations to Binomial Distributions Key Concepts: –Binomial Distributions (Review) –Approximating a Binomial Probability –Correction for.
1. Normal Approximation 1. 2 Suppose we perform a sequence of n binomial trials with probability of success p and probability of failure q = 1 - p and.
Using Normal Distribution to Approximate a Discrete Distribution.
Poisson Random Variable Provides model for data that represent the number of occurrences of a specified event in a given unit of time X represents the.
Bernoulli Trials Two Possible Outcomes –Success, with probability p –Failure, with probability q = 1  p Trials are independent.
Section 4.2 Binomial Distributions Larson/Farber 4th ed 1.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Statistics Section 5-6 Normal as Approximation to Binomial.
Normal Approximations to Binomial Distributions. 
Binomial Distributions 1 Section 4.2. Section 4.2 Objectives 2 Determine if a probability experiment is a binomial experiment Find binomial probabilities.
4.2C – Graphing Binomial Distributions (see p. 171) 1) Create a discrete probability distribution table, showing all possible x values and P(x) for each.
Normal approximation of Binomial probabilities. Recall binomial experiment:  Identical trials  Two outcomes: success and failure  Probability for success.
4.2 Binomial Distributions
Statistics 3502/6304 Prof. Eric A. Suess Chapter 4.
Using the Tables for the standard normal distribution.
Normal Approximations to Binomial Distributions.  For a binomial distribution:  n = the number of independent trials  p = the probability of success.
Chapter 5 Section 5-5. Chapter 5 Normal Probability Distributions Section 5-5 – Normal Approximations to Binomial Distributions 2.Correction for Continuity.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
Lesson The Normal Approximation to the Binomial Probability Distribution.
7.4 and 7.5 Obj: Assess normality of a distribution and find the normal approximation to a binomial distribution.
Chapter 6 Normal Approximation to Binomial Lecture 4 Section: 6.6.
Chapter 4 Discrete Probability Distributions.
Binomial Distributions
Binomial Distributions
Chapter 5 Normal Probability Distributions.
Chapter 4 Discrete Probability Distributions.
Chapter Six Normal Curves and Sampling Probability Distributions
Normal as Approximation to Binomial
Elementary Statistics: Picturing The World
3.4 The Binomial Distribution
Normal Density Curve. Normal Density Curve 68 % 95 % 99.7 %
Advanced Placement Statistics
Using the Tables for the standard normal distribution
Normal Approximations to the Binomial Distribution
Normal Probability Distributions
Binomial Distribution
7.5 The Normal Curve Approximation to the Binomial Distribution
Day 13 AGENDA: DG minutes.
Continuous Random Variable Normal Distribution
Use the graph of the given normal distribution to identify μ and σ.
Chapter 5 Section 5-5.
Day 12 AGENDA: DG minutes Work time --- use this time to work on practice problems from previous lessons.
Bernoulli Trials Two Possible Outcomes Trials are independent.
Chapter 5 Normal Probability Distributions.
Day 46 Agenda: DG minutes.
Introduction to Sampling Distributions
Lecture Slides Essentials of Statistics 5th Edition
Presentation transcript:

5.5 Normal Approximations to Binomial Distributions Decide when a normal distribution can approximate a binomial distribution Find the continuity correction Use a normal distribution to approximate binomial probabilities

Normal approximation to a binomial distribution If np>5 and nq>5, then the binomial random variable x is approximately normally distributed, with mean μ=np and standard deviation σ=√npq where n is the number of independent trials, p is the probability of success in a single trial, and q is the probability of failure in a single trial.

Normal approximation to a binomial distribution

Try it yourself 1 Approximating a Binomial Distribution Consider the following binomial experiment. Decide whether you can use the normal distribution to approximate x, the number of people who reply yes. If you can, find the mean and standard deviation. If you cannot, explain why.

Try it yourself 1 Five percent of adults in the United States are planning to purchase a 3D TV in the next two years. You randomly select 125 adults in the United States and ask them if they are planning to purchase a 3D TV in the next two years. n = 125, p = 0.05, q = 0.95 Mean: 6.25 Standard deviation: 118.75 Normal distribution can be used

Try it yourself 2 56.5<x<83.5 x<54.5 Using a Continuity Correction Use a continuity correction to convert each of the following binomial intervals to a normal distribution interval. The probability of getting between 57 and 83 successes, inclusive. The probability of getting at most 54 successes. 56.5<x<83.5 x<54.5

Try it yourself 3 0.0918 Approximating a Binomial Probability Five percent of adults in the United States are planning to purchase a 3D TV in the next two years. You randomly select 125 adults in the United States and ask them if they are planning to purchase a 3D TV in the next two years. What is the probability that more than 9 respond yes? (See Try it yourself 1) 0.0918

Try it yourself 4 0.0132 Approximating a Binomial Probability Fifty-eight percent of adults say that they never wear a helmet when riding a bicycle. You randomly select 200 adults in the United States and ask them if they wear a helmet when riding a bicycle. What is the probability that at most 100 adults will say they never wear a helmet when riding a bicycle? 0.0132

Try it yourself 5 0.0177 Approximating a Binomial Probability A survey reports that 24% of Internet users use Mozilla® Firefox® as their browser. You randomly select 150 Internet users and ask them whether they use Firefox® as their browser. What is the probability that exactly 27 will say yes? 0.0177