《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx

上传人:小飞机 文档编号:1298842 上传时间:2022-11-06 格式:PPTX 页数:32 大小:2.30MB
返回 下载 相关 举报
《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx_第1页
第1页 / 共32页
《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx_第2页
第2页 / 共32页
《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx_第3页
第3页 / 共32页
《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx_第4页
第4页 / 共32页
《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx_第5页
第5页 / 共32页
点击查看更多>>
资源描述

《《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx》由会员分享,可在线阅读,更多相关《《统计学基础(英文版·第7版)》课件les7eADA 0505.pptx(32页珍藏版)》请在三一办公上搜索。

1、Elementary Statistics,Seventh Edition,Chapter 5,Normal Probability Distributions,Copyright 2019, 2015, 2012, Pearson Education, Inc.,Chapter Outline,5.1Introduction to Normal Distributions and the Standard Normal Distribution5.2Normal Distributions: Finding Probabilities5.3Normal Distributions: Find

2、ing Values5.4Sampling Distributions and the Central Limit Theorem5.5Normal Approximations to Binomial Distributions,Section 5.5,Normal Approximations to Binomial Distributions,Section 5.5 Objectives,How to determine when the normal distribution can approximate the binomial distributionHow to find th

3、e continuity correctionHow to use the normal distribution to approximate binomial probabilities,Normal Approximation to a Binomial (1 of 2),Normal Approximation to a Binomial Distribution,If,and, then the binomial random,variable x is approximately normally distributed with,mean,standard deviation,w

4、here 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 (2 of 2),Binomial distribution:, and,and,.,As n increases the histogram approaches a normal curve.,Example: Approxi

5、mating a Binomial Distribution (1 of 2),Two binomial experiments are listed. Determine whether you can use a normal distribution to approximate the distribution of x, the number of people who reply yes. If you can, find the mean and standard deviation. If you cannot, explain why.,In a survey of 8- t

6、o 18-year-old heavy media users in the United States,said they get fair or poor,grades (C and below). You randomly select forty-five 8- to 18-year-old heavy media users in the United States and ask them whether they get fair or poor grades. (Source: Kaiser Family Foundation),Example: Approximating a

7、 Binomial Distribution (2 of 2),In a survey of 8- to 18-year-old light media users in the United States,said they get fair or poor,grades (C and below). You randomly select twenty 8- to 18-year-old light media users in the United States and ask them whether they get fair or poor grades. (Source: Kai

8、ser Family Foundation),Solution: Approximating the Binomial Distribution (1 of 2),In this binomial experiment, and,. So,and,.,Because np and nq are greater than 5, you can use a normal distribution with,and,to approximate the distribution of x.,Solution: Approximating the Binomial distribution (2 of

9、 2),In the figure, notice that the binomial distribution is approximately bell-shaped, which supports the conclusion that you can use a normal distribution to approximate the distribution of x.,Solution: Approximating the Binomial,In this binomial experiment, and,. So,and,.,Because, you cannot use a

10、 normal distribution to,approximate the distribution of x. Notice the binomial distribution is skewed right, which supports the conclusion that you cannot use a normal distribution to approximate the distribution of x.,Correction for Continuity (1 of 2),A binomial distribution is discrete and can be

11、 represented by a probability histogram. To calculate exact binomial probabilities, the binomial formula is used for each value of x and the results are added.Geometrically this corresponds to adding the areas of bars in the probability histogram.,Correction for Continuity (2 of 2),When you use a co

12、ntinuous normal distribution to approximate a binomial probability, you need to move 0.5 unit to the left and right of the midpoint to include all possible x-values in the interval (continuity correction).,Example: Using a Continuity Correction (1 of 3),Use a continuity correction to convert each bi

13、nomial probability to a normal distribution probability.,The probability of getting between 270 and 310 successes, inclusive.,Solution:The discrete midpoint values are 270, 271, , 310. The corresponding interval for the continuous,normal distribution is,. The normal,distribution probability is,.,Exa

14、mple: Using a Continuity Correction (2 of 3),Use a continuity correction to convert each binomial probability to a normal distribution probability.,The probability of getting at least 158 successes.,Solution:The discrete midpoint values are 158, 159, 160, .The corresponding interval for the continuo

15、us,normal distribution is,. The normal,distribution probability is,.,Example: Using a Continuity Correction (3 of 3),Use a continuity correction to convert each binomial probability to a normal distribution probability.,The probability of getting fewer than 63 successes.,Solution:The discrete midpoi

16、nt values are ,60, 61, 62.The corresponding interval for the continuous,normal distribution is,. The normal,distribution probability is,.,Binomial Probabilities Involving the Number c,Using a Normal Distribution to Approximate Binomial Probabilities,In Words,In Symbols,Verify that the binomial distr

17、ibution applies.,Specify n, p, and q.,Determine if you can use the normal distribution to approximate x, the binomial variable.,Is,?,Is,?,Find the mean,and,standard deviation,for the,distribution.,Using the Normal Distribution to Approximate Binomial Probabilities,In Words,In Symbols,Apply the appro

18、priate continuity correction. Shade the corresponding area under the normal curve.,Add 0.5 to (or subtract 0.5 from) the binomial probability.,Find the corresponding z-score(s).,Find the probability.,Use the Standard Normal Table.,Example: Approximating a Binomial Probability (1 of 3),In a survey of

19、 8- to 18-year-old heavy media users in the United States,said they get fair or poor,grades (C and below). You randomly select forty-five 8- to 18-year-old heavy media users in the United States and ask them whether they get fair or poor grades. What is the probability that fewer than 20 of them res

20、pond yes?(Source: Kaiser Family Foundation),Solution:Use the normal approximation,and,Solution: Approximating a Binomial Probability (1 of 10),Apply the continuity correction: To use a normal distribution, note that the probability is “fewer than 20.” So, apply the continuity correction by subtracti

21、ng 0.5 from 20 and write the probability as,.,Solution: Approximating a Binomial Probability (2 of 10),The figure shows a normal curve with, and the shaded area to the left of 19.5.,The z-score that corresponds to,is,.,Using the Standard Normal Table,.,Solution: Approximating a Binomial Probability

22、(3 of 10),The probability that fewer than twenty 8- to 18-year-olds respond yes is approximately 0.3121, or about,.,Example: Approximating a Binomial Probability (2 of 3),A study on aggressive driving found that,of drivers,say they have yelled at another driver. You randomly select 200 drivers in th

23、e United States and ask them whether they have yelled at another driver. What is the probability that at least 100 drivers will say yes, they have yelled at another driver? (Source: American Automobile Association),Solution: Approximating a Binomial Probability (4 of 10),Solution:Because,and,the bin

24、omial variable x is approximately normally distributed, with,and,.,Using the continuity correction, you can rewrite the discrete probability,as the continuous,probability,.,Solution: Approximating a Binomial Probability (5 of 10),Solution:The figure shows a normal,curve with,and the shaded area to t

25、he right of 99.5.,The z-score that corresponds to 99.5 is,.,Solution: Approximating a Binomial Probability (6 of 10),So, the probability that at least 100 drivers will say “yes” is approximately,.,The probability that at least 100 drivers will say “yes” is approximately 0.2177, or about,.,Example: A

26、pproximating a Binomial Probability (3 of 3),A study of National Football League (NFL) retirees, ages 50 and older, found that,have arthritis. You,randomly select 75 NFL retirees who are at least 50 years old and ask them whether they have arthritis. What is the probability that exactly 48 will say

27、yes? (Source: University of Michigan, Institute for Social Research),Solution: Approximating a Binomial Probability (7 of 10),SolutionBecause,and,the binomial variable x is approximately normally distributed, with,and,.,Solution: Approximating a Binomial Probability (8 of 10),Using the continuity co

28、rrection, you can rewrite the discrete probability,as the continuous,probability,. The figure shows a,normal curve with, and the shaded,area under the curve between,47.5 and 48.5.,Solution: Approximating a Binomial Probability (9 of 10),The z-score that corresponds to 47.5 is,and the z-score that corresponds to 48.5 is,.,Solution: Approximating a Binomial Probability (10 of 10),So, the probability that exactly 48 NFL retirees will say they have arthritis is,.,The probability that exactly 48 NFL retirees will say they have arthritis is approximately 0.0916, or about,.,

展开阅读全文
相关资源
猜你喜欢
相关搜索
资源标签

当前位置:首页 > 生活休闲 > 在线阅读


备案号:宁ICP备20000045号-2

经营许可证:宁B2-20210002

宁公网安备 64010402000987号