Comparing Two Proportions

Slides:



Advertisements
Similar presentations
Comparing Two Proportions BPS chapter 20 © 2010 W.H. Freeman and Company.
Advertisements

Probability & Statistical Inference Lecture 7 MSc in Computing (Data Analytics)
Today Today: Chapter 10 Sections from Chapter 10: Recommended Questions: 10.1, 10.2, 10-8, 10-10, 10.17,
Chapter 9 Hypothesis Testing 9.4 Testing a Hypothesis about a Population Proportion.
Chapter 25 Asking and Answering Questions About the Difference Between Two Population Means: Paired Samples.
Significance Tests for Proportions Presentation 9.2.
Ch 10 Comparing Two Proportions Target Goal: I can determine the significance of a two sample proportion. 10.1b h.w: pg 623: 15, 17, 21, 23.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Statistical Inferences Based on Two Samples Chapter 9.
+ Chapter 9 Summary. + Section 9.1 Significance Tests: The Basics After this section, you should be able to… STATE correct hypotheses for a significance.
Introduction to Statistical Inference Probability & Statistics April 2014.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
Confidence Intervals: The Basics BPS chapter 14 © 2006 W.H. Freeman and Company.
Introduction to Inferece BPS chapter 14 © 2010 W.H. Freeman and Company.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.1.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.1.
Tests of Significance: The Basics BPS chapter 15 © 2006 W.H. Freeman and Company.
1 CHAPTER 4 CHAPTER 4 WHAT IS A CONFIDENCE INTERVAL? WHAT IS A CONFIDENCE INTERVAL? confidence interval A confidence interval estimates a population parameter.
AP Statistics.  Has been about the distribution of sample means  and the distribution of the difference of sample means.  and the distribution of sample.
Tests of Significance: The Basics ESS chapter 15 © 2013 W.H. Freeman and Company.
Learning Objectives After this section, you should be able to: The Practice of Statistics, 5 th Edition1 DESCRIBE the shape, center, and spread of the.
Chapter 12 Inference for Proportions AP Statistics 12.2 – Comparing Two Population Proportions.
The Practice of Statistics Third Edition Chapter 12: Significance Tests in Practice Copyright © 2008 by W. H. Freeman & Company Daniel S. Yates.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.1.
The Practice of Statistics, 5 th Edition1 Check your pulse! Count your pulse for 15 seconds. Multiply by 4 to get your pulse rate for a minute. Write that.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
CHAPTER 10 Comparing Two Populations or Groups
Tests of Significance: The Basics
CHAPTER 10 Comparing Two Populations or Groups
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
CHAPTER 10 Comparing Two Populations or Groups
Inference for Distributions
Independent Samples: Comparing Means
Comparing Two Proportions
CHAPTER 10 Comparing Two Populations or Groups
One-Way Analysis of Variance: Comparing Several Means
Hypothesis Tests for a Population Mean in Practice
Section 11.2: Carrying Out Significance Tests
Inferences on Two Samples Summary
Section 12.2: Tests about a Population Proportion
Inference About Variables Part IV Review
Hypothesis Tests for Proportions
Two Categorical Variables: The Chi-Square Test
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
AP STATISTICS LESSON 10 – 2 (DAY 3)
CHAPTER 12 Inference for Proportions
Chapter 9 Testing a Claim
CHAPTER 10 Comparing Two Populations or Groups
Section 12.2 Comparing Two Proportions
CHAPTER 12 Inference for Proportions
Chapter 24 Comparing Two Means.
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
AP Statistics Chapter 12 Notes.
CHAPTER 10 Comparing Two Populations or Groups
Chapter 12 Inference for Proportions
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
7.4 Hypothesis Testing for Proportions
CHAPTER 10 Comparing Two Populations or Groups
Inference Concepts 1-Sample Z-Tests.
How Confident Are You?.
Presentation transcript:

Comparing Two Proportions BPS chapter 21 © 2006 W.H. Freeman and Company

Parameter of interest When comparing two proportions from two populations or two treatments, what is the parameter of interest?

Parameter of interest (answer) When comparing two proportions from two populations or two treatments, what is the parameter of interest?

Confidence interval The purpose of a confidence interval comparing two proportions (from two populations or two treatments) is to give a range of reasonable values for the Level of confidence. Overall sample proportion. Overall population proportion. Difference between p1 and p2. Values for the sum of p1 and p2.

Confidence interval (answer) The purpose of a confidence interval comparing two proportions (from two populations or two treatments) is to give a range of reasonable values for the Level of confidence. Overall sample proportion. Overall population proportion. Difference between p1 and p2. Values for the sum of p1 and p2.

Sampling distribution What is the mean of the sampling distribution of ? p1 p2 p1 - p2

Sampling distribution (answer) What is the mean of the sampling distribution of ? p1 p2 p1 - p2

Sampling distribution What is the shape of the sampling distribution of , when all conditions are met? Normal Approximately normal Right-skewed Left-skewed

Sampling distribution (answer) What is the shape of the sampling distribution of , when all conditions are met? Normal Approximately normal Right-skewed Left-skewed

Hypothesis test Suppose we want to test whether the proportions from two different populations are significantly different from each other. What are the appropriate null and alternative hypotheses?

Hypothesis test (answer) Suppose we want to test whether the proportions from two different populations are significantly different from each other. What are the appropriate null and alternative hypotheses?

Pooled sample proportion When do we use the pooled sample proportion? When doing a confidence interval for p1 – p2. When doing a hypothesis test of .

Pooled sample proportion (answer) When do we use the pooled sample proportion? When doing a confidence interval for p1 – p2. When doing a hypothesis test of .

Hypothesis testing You have available data showing that 70% of all eligible students in Pennsylvania and 70% of all eligible students in Rhode Island took the SAT during the 1994-1995 school year. You are interested in testing whether the proportion of eligible students in Pennsylvania (p1) who plan to take the SAT during the 2004-2005 school year is significantly different from the proportion of eligible students in Rhode Island (p2) who plan to take the SAT during the 2004-2005 school year. Which of the following pair of hypotheses is appropriate for this test?

Hypothesis testing (answer) You have available data showing that 70% of all eligible students in Pennsylvania and 70% of all eligible students in Rhode Island took the SAT during the 1994-1995 school year. You are interested in testing whether the proportion of eligible students in Pennsylvania (p1) who plan to take the SAT during the 2004-2005 school year is significantly different from the proportion of eligible students in Rhode Island (p2) who plan to take the SAT during the 2004-2005 school year. Which of the following pair of hypotheses is appropriate for this test?

Sampling distribution Suppose you take an SRS of size 1000 of Pennsylvania students (p1 ) eligible to take the SAT and find that 75% plan to take the SAT during the 2004-2005 school year. You also take an SRS of size 1000 of Rhode Island students (p2 ) eligible to take the SAT and find that 76% plan to take the SAT during the 2004-2005 school year. What is the mean of the sampling distribution of under the null hypothesis ? 0.76 – 0.75 = 0.01 0.75 – 0.76 = -0.01 0.75 0.76 Cannot be determined from the information given.

Sampling distribution (answer) Suppose you take an SRS of size 1000 of Pennsylvania students (p1 ) eligible to take the SAT and find that 75% plan to take the SAT during the 2004-2005 school year. You also take an SRS of size 1000 of Rhode Island students (p2 ) eligible to take the SAT and find that 76% plan to take the SAT during the 2004-2005 school year. What is the mean of the sampling distribution of under the null hypothesis ? 0.76 – 0.75 = 0.01 0.75 – 0.76 = -0.01 0.75 0.76 Cannot be determined from the information given.

Hypothesis testing If you calculate a 95% confidence interval for the difference in the proportion of eligible students in Pennsylvania and Rhode Island that plan to take the SAT during the 2004-2005 school year to be (-0.048, 0.028), what is your conclusion to the two-sided test with null hypothesis ? Is the test statistically significant? Yes, because 0 is included in the interval. Yes, because 0 is not included in the interval. No, because 0 is included in the interval. No, because 0 is not included in the interval.

Hypothesis testing (answer) If you calculate a 95% confidence interval for the difference in the proportion of eligible students in Pennsylvania and Rhode Island that plan to take the SAT during the 2004-2005 school year to be (-0.048, 0.028), what is your conclusion to the two sided-test with null hypothesis ? Is the test statistically significant? Yes, because 0 is included in the interval. Yes, because 0 is not included in the interval. No, because 0 is included in the interval. No, because 0 is not included in the interval.