TESTING HYPOTHESES ABOUT PROPORTIONS CHAPTER 20. ESSENTIAL CONCEPTS Hypothesis testing involves proposing a model, then determining if the data we observe.

Slides:



Advertisements
Similar presentations
Statistics Hypothesis Testing.
Advertisements

Hypothesis Testing Finding the p-value and interpreting it. Pg 1.2: 4 assumptions.
Chapter 20: Testing Hypotheses About Proportions
Hypotheses tests for proportions
ONE-PROPORTION Z-TESTS CHAPTER 20 PART 3. 4 Steps : 1)State the hypotheses 2)Check conditions and model (Normal model) 3)Mechanics (Find z-score and P-value)
1/55 EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008 Chapter 10 Hypothesis Testing.
Chapter 8 Introduction to Hypothesis Testing
Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 9-1 Statistics for Managers Using Microsoft® Excel 5th Edition.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 8-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
AP Statistics: Chapter 20
Chapter 10 Hypothesis Testing
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 7 th Edition Chapter 9 Hypothesis Testing: Single.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 8-1 Chapter 8 Fundamentals of Hypothesis Testing: One-Sample Tests Statistics.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
BCOR 1020 Business Statistics Lecture 20 – April 3, 2008.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 8-1 TUTORIAL 6 Chapter 10 Hypothesis Testing.
Statistics for Managers Using Microsoft® Excel 5th Edition
Significance Tests for Proportions Presentation 9.2.
Objective: To test claims about inferences for proportions, under specific conditions.
POLS 7000X STATISTICS IN POLITICAL SCIENCE CLASS 7 BROOKLYN COLLEGE-CUNY SHANG E. HA Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for.
Chapter 10 Hypothesis Testing
Confidence Intervals and Hypothesis Testing - II
CHAPTER 2 Statistical Inference 2.1 Estimation  Confidence Interval Estimation for Mean and Proportion  Determining Sample Size 2.2 Hypothesis Testing:
Chapter 20: Testing Hypotheses about Proportions
Fundamentals of Hypothesis Testing: One-Sample Tests
March  There is a maximum of one obtuse angle in a triangle, but can you prove it?  To prove something like this, we mathematicians must do a.
Testing Hypotheses About Proportions
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 20 Testing Hypotheses About Proportions.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap th Lesson Introduction to Hypothesis Testing.
Week 8 Fundamentals of Hypothesis Testing: One-Sample Tests
Chapter 10 Hypothesis Testing
Hypothesis Tests with Proportions Chapter 10 Notes: Page 169.
1 Introduction to Hypothesis Testing. 2 What is a Hypothesis? A hypothesis is a claim A hypothesis is a claim (assumption) about a population parameter:
Hypothesis Tests with Proportions Chapter 10. Write down the first number that you think of for the following... Pick a two-digit number between 10 and.
Copyright © 2010 Pearson Education, Inc. Chapter 20 Testing Hypotheses About Proportions.
Topic 7 - Hypothesis tests based on a single sample Sampling distribution of the sample mean - pages Basics of hypothesis testing -
Chapter 20 Testing hypotheses about proportions
Chapter 20 Testing Hypotheses About Proportions.
Chap 8-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 8 Introduction to Hypothesis.
Statistics 101 Chapter 10 Section 2. How to run a significance test Step 1: Identify the population of interest and the parameter you want to draw conclusions.
CHAPTER 15: Tests of Significance The Basics ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
Chap 8-1 Fundamentals of Hypothesis Testing: One-Sample Tests.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
STA Lecture 221 !! DRAFT !! STA 291 Lecture 22 Chapter 11 Testing Hypothesis – Concepts of Hypothesis Testing.
Copyright © 2010 Pearson Education, Inc. Chapter 20 Testing Hypotheses About Proportions.
Section 10.2: Tests of Significance Hypothesis Testing Null and Alternative Hypothesis P-value Statistically Significant.
The Idea of the Statistical Test. A statistical test evaluates the "fit" of a hypothesis to a sample.
Chapter 20 Testing Hypotheses about Proportions. Hypothesis Testing: used to assess the evidence provided by data in favor of some claim about the population.
CHAPTER 15: Tests of Significance The Basics ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
Slide 20-1 Copyright © 2004 Pearson Education, Inc.
Chapter 20 Testing Hypotheses About Proportions. confidence intervals and hypothesis tests go hand in hand:  A confidence interval shows us the range.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.
Hypothesis Tests Hypothesis Tests Large Sample 1- Proportion z-test.
Copyright © 2009 Pearson Education, Inc. Chapter 20 Testing Hypotheses About Proportions.
A.P. STATISTICS EXAM REVIEW TOPIC #2 Tests of Significance and Confidence Intervals for Means and Proportions Chapters
Statistics 20 Testing Hypothesis and Proportions.
Hypothesis Testing Chapter Hypothesis Testing  Developing Null and Alternative Hypotheses  Type I and Type II Errors  One-Tailed Tests About.
+ Homework 9.1:1-8, 21 & 22 Reading Guide 9.2 Section 9.1 Significance Tests: The Basics.
AP Statistics Testing Hypothesis About Proportions
Testing Hypotheses about Proportions
Hypothesis Tests for 1-Sample Proportion
Week 11 Chapter 17. Testing Hypotheses about Proportions
Statistical Inference
Significance Tests: The Basics
Chapter 9 Hypothesis Testing: Single Population
Stats: Modeling the World
Statistical Test A test of significance is a formal procedure for comparing observed data with a claim (also called a hypothesis) whose truth we want to.
Presentation transcript:

TESTING HYPOTHESES ABOUT PROPORTIONS CHAPTER 20

ESSENTIAL CONCEPTS Hypothesis testing involves proposing a model, then determining if the data we observe is consistent with the model or so unusual that we must reject it. The claim being assessed is called the null hypothesis (H 0 ). It is usually a statement of “no change”, “no effect”, or “no difference”. The null hypothesis must specify a value for some population parameter. The alternative hypothesis (H A ) proposes what we should conclude if we find the null hypothesis to be unlikely. The p-value is the probability that we get the value we observed, given that the null hypothesis is true. A small p- value indicates that the observation is improbable and calls into question the validity of H 0. We never “accept” the null hypothesis. We either fail to reject it (when the p-value is large) or reject it (when p- value is small.)

A 1996 report from the U.S. Consumer Product Safety Commission claimed that at least 90% of all American homes have at least one smoke detector. A city’s fire department has been running a public safety campaign about smoke detectors consisting of posters, billboards, and ads on radio and TV and in the newspaper. The city wonders if this concerted effort has raised the local level above the 90% national rate. Building inspectors visit 400 randomly selected homes and find that 376 have smoke detectors. Is this strong evidence that the local rate is higher than the national rate?

There are supposed to be 20% orange M&M’s. Suppose a bag of 122 has only 21 orange ones. Does this contradict the company’s 20% claim?

#13 According to government statistics, in % of students had not been absent from school at all during a selected month. In 2000, responses from 8302 students showed that this had slipped to 33%. Do these figures give evidence of declining student enrollment? Write appropriate hypotheses. Check the assumptions and conditions. Perform the test and find the p-value. State your conclusion. Do you believe the difference is meaningful?

29. An airline claims that it rarely loses passengers’ luggage. It further claims that when it is lost, 90% of luggage is found and delivered to its owner within 24 hours. A consumer group surveyed a large number of travelers and found that only 103 out of 122 people who lost luggage on the airline were reunited with their luggage within 24 hours. Does this cast doubt on the airline’s claim?