Hypotheses setting and testing. Hypotheses A hypothesis is a specific statement of prediction. It describes in concrete terms what you expect will happen.

Slides:



Advertisements
Similar presentations
Differentiating between directional and non-directional hypotheses.
Advertisements

Inferential Statistics
Statistics 101 Class 8. Overview Hypothesis Testing Hypothesis Testing Stating the Research Question Stating the Research Question –Null Hypothesis –Alternative.
Review You run a t-test and get a result of t = 0.5. What is your conclusion? Reject the null hypothesis because t is bigger than expected by chance Reject.
1 Chapter 9 Hypothesis Testing Developing Null and Alternative Hypotheses Type I and Type II Errors One-Tailed Tests About a Population Mean: Large-Sample.
Hypothesis Testing Developing Null and Alternative Hypotheses Developing Null and Alternative Hypotheses Type I and Type II Errors Type I and Type II Errors.
1 1 Slide STATISTICS FOR BUSINESS AND ECONOMICS Seventh Edition AndersonSweeneyWilliams Slides Prepared by John Loucks © 1999 ITP/South-Western College.
Chapter 9 Hypothesis Testing
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 9 Hypothesis Testing Developing Null and Alternative Hypotheses Developing Null and.
Hypothesis testing Week 10 Lecture 2.
July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 9_part I ( and 9.7) Tests of Significance.
1/55 EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008 Chapter 10 Hypothesis Testing.
Lecture 13: Review One-Sample z-test and One-Sample t-test 2011, 11, 1.
Lecture 2: Basic steps in SPSS and some tests of statistical inference
C82MCP Diploma Statistics School of Psychology University of Nottingham 1 Overview of Lecture Independent and Dependent Variables Between and Within Designs.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 7 th Edition Chapter 9 Hypothesis Testing: Single.
Unit 8 Section 8-2 – Day : Finding Critical Values for the z-test.  Critical Value – separates the critical region from the noncritical region.
Hypothesis Testing Is It Significant?. Questions What is a statistical hypothesis? What is the null hypothesis? Why is it important for statistical tests?
Probability Population:
Statistical hypothesis testing – Inferential statistics I.
Chapter 10 Hypothesis Testing
Confidence Intervals and Hypothesis Testing - II
1 © Lecture note 3 Hypothesis Testing MAKE HYPOTHESIS ©
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Tue, Oct 23, 2007.
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Chapter 8 Hypothesis Testing : An Introduction.
1 1 Slide © 2005 Thomson/South-Western Chapter 9, Part A Hypothesis Tests Developing Null and Alternative Hypotheses Developing Null and Alternative Hypotheses.
Fundamentals of Hypothesis Testing: One-Sample Tests
Tests of significance & hypothesis testing Dr. Omar Al Jadaan Assistant Professor – Computer Science & Mathematics.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap th Lesson Introduction to Hypothesis Testing.
Chapter 9 Hypothesis Testing: Single Population
1 Power and Sample Size in Testing One Mean. 2 Type I & Type II Error Type I Error: reject the null hypothesis when it is true. The probability of a Type.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
The Argument for Using Statistics Weighing the Evidence Statistical Inference: An Overview Applying Statistical Inference: An Example Going Beyond Testing.
Chapter 9 Part C. III. One-Tailed Tests B. P-values Using p-values is another approach to conducting a hypothesis test, yielding the same result. In general:
1 1 Slide © 2004 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
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.
Hypothesis testing Chapter 9. Introduction to Statistical 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.
1 1 Slide © 2003 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
Chapter 8 Introduction to Hypothesis Testing ©. Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: 4 Formulate.
Hypothesis Testing State the hypotheses. Formulate an analysis plan. Analyze sample data. Interpret the results.
Chapter 20: Testing Hypotheses About Proportions AP Statistics.
Chapter 7 Hypotheticals and You: Testing Your Questions Part III Taking Chances for Fun and Profit.
Correct decisions –The null hypothesis is true and it is accepted –The null hypothesis is false and it is rejected Incorrect decisions –Type I Error The.
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.
Example You give 100 random students a questionnaire designed to measure attitudes toward living in dormitories Scores range from 1 to 7 –(1 = unfavorable;
SOCW 671 #2 Overview of SPSS Steps in Designing Research Hypotheses Research Questions.
Aron, Aron, & Coups, Statistics for the Behavioral and Social Sciences: A Brief Course (3e), © 2005 Prentice Hall Chapter 5 Introduction to Hypothesis.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
© Copyright McGraw-Hill 2004
Formulating the Hypothesis null hypothesis 4 The null hypothesis is a statement about the population value that will be tested. null hypothesis 4 The null.
CHAPTER 5 CONSTRUCTING HYPOTHESeS. What is A Hypothesis? A proposition, condition, or principle which is assumed, perhaps without belief, in order to.
Tests of Significance: The Basics ESS chapter 15 © 2013 W.H. Freeman and Company.
Course Overview Collecting Data Exploring Data Probability Intro. Inference Comparing Variables Relationships between Variables Means/Variances Proportions.
Lec. 19 – Hypothesis Testing: The Null and Types of Error.
New FOCUS or OBSERVATION Critical Thinking Cyclic Model: QUESTION or HYPOTHESIS CONTENT ANYALYSIS and DELIBERATION scrutinize data using most rigorous.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 FINAL EXAMINATION STUDY MATERIAL III A ADDITIONAL READING MATERIAL – INTRO STATS 3 RD EDITION.
Moshe Banai, PhD Editor – International Studies of Management and Organization
Hypothesis Testing Chapter Hypothesis Testing  Developing Null and Alternative Hypotheses  Type I and Type II Errors  One-Tailed Tests About.
Learning Objectives Describe the hypothesis testing process Distinguish the types of hypotheses Explain hypothesis testing errors Solve hypothesis testing.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 7 th Edition Chapter 9 Hypothesis Testing: Single.
Unit 3 Hypothesis.
Hypothesis Testing I The One-sample Case
Hypothesis Testing II: The Two-sample Case
Hypothesis Testing: Hypotheses
Hypothesis Tests for Two Population Proportions
Inferences on Two Samples Summary
Hypothesis Tests for Proportions
Hypotheses.
Presentation transcript:

Hypotheses setting and testing

Hypotheses A hypothesis is a specific statement of prediction. It describes in concrete terms what you expect will happen in your study Not all studies have hypotheses. A single study can have one or more hypotheses

Function of hypothesis Provides a study with focus Informs data to collect Enhances objectivity of a study Enhances addition to the formulation of theory

Types of hypothesis Null hypothesis. The null hypothesis, denoted by H0, is usually the hypothesis that sample observations result purely from chance. Alternative hypothesis. The alternative hypothesis, denoted by H1 or Ha, is the hypothesis that sample observations are influenced by some non-random cause. Some define: Research hypothesis Alternative hypothesis

The characteristics of a hypothesis Simple, specific and conceptually clear Verifiable Related to the existing body of knowledge operationalisable

Testing hypothesis A test of a statistical hypothesis, where the region of rejection is on only one side of the sampling distribution, is called a one-tailed test. For example, suppose the null hypothesis states that the mean is less than or equal to 10. The alternative hypothesis would be that the mean is greater than 10. The region of rejection would consist of a range of numbers located located on the right side of sampling distribution; that is, a set of numbers greater than 10.sampling distribution A test of a statistical hypothesis, where the region of rejection is on both sides of the sampling distribution, is called a two- tailed test. For example, suppose the null hypothesis states that the mean is equal to 10. The alternative hypothesis would be that the mean is less than 10 or greater than 10. The region of rejection would consist of a range of numbers located located on both sides of sampling distribution; that is, the region of rejection would consist partly of numbers that were less than 10 and partly of numbers that were greater than 10.

One-tailed Two-tailed