Chapter 20: Testing Hypotheses About Proportions AP Statistics.

Slides:



Advertisements
Similar presentations
Copyright © 2010 Pearson Education, Inc. Slide
Advertisements

Statistics Hypothesis Testing.
CHAPTER 21 Inferential Statistical Analysis. Understanding probability The idea of probability is central to inferential statistics. It means the chance.
Copyright © 2014 by McGraw-Hill Higher Education. All rights reserved.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 9 Hypothesis Testing Developing Null and Alternative Hypotheses Developing Null and.
Chapter 9b One-Tailed Test about a Population Mean: Small-Sample Case (n < 30)One-Tailed Test about a Population Mean: Small-Sample Case (n < 30) Tests.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
Estimation and Testing for Population Proportions Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College Publishing.
Chapter 9 Hypothesis Testing 9.4 Testing a Hypothesis about a Population Proportion.
AP Statistics: Chapter 20
State the null and alternative hypotheses.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Significance Tests for Proportions Presentation 9.2.
© 2002 Thomson / South-Western Slide 9-1 Chapter 9 Hypothesis Testing with Single Samples.
Chapter 20: Testing Hypotheses about Proportions
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Chapter 8 Hypothesis Testing : An Introduction.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
Chapter 9 Hypothesis Testing II: two samples Test of significance for sample means (large samples) The difference between “statistical significance” and.
Section 9.2 Testing the Mean  9.2 / 1. Testing the Mean  When  is Known Let x be the appropriate random variable. Obtain a simple random sample (of.
Hypothesis Testing Testing Outlandish Claims. Learning Objectives Be able to state the null and alternative hypotheses for both one-tailed and two-tailed.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
AP Statistics Section 11.2 A Inference Toolbox for Significance Tests
Causal Hypotheses. l Statement of relationship between an independent and dependent variable l Describes a cause and effect l Usually stated in two forms.
Warm-up Day before Cumulative Test State the conditions you must check for each of these inference tests or confidence interval.
When should you find the Confidence Interval, and when should you use a Hypothesis Test? Page 174.
Chapter 20 Testing hypotheses about proportions
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests.
AP Statistics Chapter 22 Notes “Comparing Two Proportions”
Business Statistics: Contemporary Decision Making, 3e, by Black. © 2001 South-Western/Thomson Learning 9-1 Business Statistics, 3e by Ken Black Chapter.
Chapter 8 Introduction to Hypothesis Testing ©. Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: 4 Formulate.
Section 9.2 Hypothesis Testing Proportions P-Value.
Hypotheses setting and testing. Hypotheses A hypothesis is a specific statement of prediction. It describes in concrete terms what you expect will happen.
Chapter 7 Inferences Based on a Single Sample: Tests of Hypotheses.
1 Chapter 8 Introduction to Hypothesis Testing. 2 Name of the game… Hypothesis testing Statistical method that uses sample data to evaluate a hypothesis.
Tests of significance: The basics BPS chapter 14 © 2006 W.H. Freeman and Company.
Inference with Proportions Review Mr. Hardin AP STATS 2015.
Tests of Significance: The Basics ESS chapter 15 © 2013 W.H. Freeman and Company.
Data Processing, Fundamental Data Analysis, and the Statistical Testing of Differences Chapter Twelve.
Chapter 20 Testing Hypotheses About Proportions. confidence intervals and hypothesis tests go hand in hand:  A confidence interval shows us the range.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
More about tests and intervals CHAPTER 21. Do not state your claim as the null hypothesis, instead make what you’re trying to prove the alternative. The.
Chapter 10 Inference on Two Samples 10.3 Inference About Two Population Proportions.
Testing Hypotheses About Proportions
CHAPTER 10 Comparing Two Populations or Groups
One-Sample Inference for Proportions
For the single mean & proportion Confidence Interval vs Hypothesis Testing At the same level in confidence interval and hypothesis testing,
Review of Chapter 12 Significance Tests in Practice
CHAPTER 10 Comparing Two Populations or Groups
MATH 2311 Section 8.2.
Chapter 9 Hypothesis Testing
Comparing Two Proportions
Chapter Review Problems
Inferences on Two Samples Summary
Section 12.2: Tests about a Population Proportion
Comparing Two Proportions
Hypothesis Tests for Proportions
Recipe for any Hypothesis Test
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 12 Inference for Proportions
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
Section 11.1: Significance Tests: Basics
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
Presentation transcript:

Chapter 20: Testing Hypotheses About Proportions AP Statistics

Four Step Process of Inference 1.Hypothesis 2.Model 3.Mechanics 4.Conclusion (See Note Sheet for Detailed Explanation)

When to Reject Null and When to Fail to Reject Null

One-Tailed Test: When to Reject of Fail to Reject Null Hypothesis

Two-Tailed Test: When to Reject of Fail to Reject Null Hypothesis

Two-Tailed Test: When to Reject or Fail to Reject Null Hypothesis

Potential Problems Don’t base your null hypothesis on what you see in the data Don’t base your alternative hypothesis on what you see in the data Don’t make your null hypothesis what you want to show to be true Don’t forget to check the conditions

Hypothesis

Method

Mechanics

Conclusion

Other—Confidence Interval