Chapter 18 Sampling Distribution. Key Concepts Example 1 Suppose that about 13% of the population is left handed. A 200 seat school auditorium has been.

Slides:



Advertisements
Similar presentations
Chapter 23: Inferences About Means
Advertisements

Chapter 18 Sampling distribution models
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 18 Sampling Distribution Models.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Sampling Distributions for Proportions Allow us to work with the proportion of successes rather than the actual number of successes in binomial experiments.
Chapter 9 Hypothesis Testing 9.4 Testing a Hypothesis about a Population Proportion.
Introduction to Probability and Statistics Chapter 7 Sampling Distributions.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.
Chapter 11: Random Sampling and Sampling Distributions
Sample Distribution Models for Means and Proportions
Copyright © 2012 Pearson Education. All rights reserved Copyright © 2012 Pearson Education. All rights reserved. Chapter 10 Sampling Distributions.
1 Chapter Seven Introduction to Sampling Distributions Section 3 Sampling Distributions for Proportions.
The Probability of a Type II Error and the Power of the Test
Sampling Distributions
AP Statistics Chapter 9 Notes.
5.5 Normal Approximations to Binomial Distributions Key Concepts: –Binomial Distributions (Review) –Approximating a Binomial Probability –Correction for.
Sections 6-1 and 6-2 Overview Estimating a Population Proportion.
Chapter 7 Estimates and Sample Sizes
Understanding the scores from Test 2 In-class exercise.
Chapter 9.2: Sample Proportion Mr. Lynch AP Statistics.
Section 9.2 Sampling Proportions AP Statistics. AP Statistics, Section 9.22 Example A Gallup Poll found that 210 out of a random sample of 501 American.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 9: Sampling Distributions Section 9.2 Sample Proportions.
Normal Probability Distribution Using Normal Distribution for Probability.
Sampling Distributions Chapter 7. The Concept of a Sampling Distribution Repeated samples of the same size are selected from the same population. Repeated.
Estimating a Population Proportion
1 Chapter 18 Sampling Distribution Models. 2 Suppose we had a barrel of jelly beans … this barrel has 75% red jelly beans and 25% blue jelly beans.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Statistics Section 5-6 Normal as Approximation to Binomial.
“Sampling Distributions for Sample Proportions and Sample Means”
7-3 Sampling Distribution Models Proportions. Qualitative data The normal model of last chapter is applicable to quantitative data.. Remember the formula.
Section 9.3 ~ Hypothesis Tests for Population Proportions Introduction to Probability and Statistics Ms. Young.
Chapter 18 – Part I Sampling Distribution for Sample Proportion Statistic.
1 Chapter 7 Sampling Distributions. 2 Chapter Outline  Selecting A Sample  Point Estimation  Introduction to Sampling Distributions  Sampling Distribution.
AP Review #3: Continuous Probability (The Normal Distribution)
Chapter Part 1 Sampling Distribution Models for.
The Normal Distribution
Chapter 18 Sampling distribution models math2200.
7.2 Sample Proportions Objectives SWBAT: FIND the mean and standard deviation of the sampling distribution of a sample proportion. CHECK the 10% condition.
Hypothesis Testing for Proportions
Central Limit Theorem Sampling Distributions Central Limit Theorem
CHAPTER 9 Sampling Distributions
Hypothesis Testing for Proportions
Chapter 7: Sampling Distributions
CHAPTER 7 Sampling Distributions
AP Statistics: Chapter 7
Review of Hypothesis Testing
MATH 2311 Section 4.4.
Chapter 18 – Sampling Distribution Models
Section 3: Estimating p in a binomial distribution
CHAPTER 7 Sampling Distributions
Sampling Distribution Models
Sampling Distributions
The estimate of the proportion (“p-hat”) based on the sample can be a variety of values, and we don’t expect to get the same value every time, but the.
CHAPTER 7 Sampling Distributions
Chapter 9: Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Section 9.2 Sampling Proportions
CHAPTER 7 Sampling Distributions
Chapter 7: Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
1/10/ Sample Proportions.
Quantitative Methods Varsha Varde.
Introduction to Sampling Distributions
Warmup Which of the distributions is an unbiased estimator?
Review of Hypothesis Testing
Stats: Modeling the World
Lecture Slides Essentials of Statistics 5th Edition
Presentation transcript:

Chapter 18 Sampling Distribution

Key Concepts

Example 1 Suppose that about 13% of the population is left handed. A 200 seat school auditorium has been built with 15 lefty seats. In a class of 90 students what is the probability that there will not be enough seats for the left handed students?

Plan We want the probability of finding more that 16.7% left handed students out of a sample size of 90 students if the proportion of lefties is 13%.

Always check conditions Randomization Condition: 10% condition: Success/ Failure np>10 nq > 10

State the parameter and the sampling distribution model p= The conditions are satisfied N( mean ( use population proportion), SD) N(.13,.035)

Draw it

Find the z-score z= P( p >.167) =

Example 2 Information on a packet of seeds claims that the germination rate is 92%. What is the probability that more than 95% of the 160 seeds in the packet will germinate?

Plan

Conditions

State the parameter and the sampling distribution model p= The conditions are satisfied N( mean ( use population proportion), SD) N( )

Plot it

z score