Chapter 7 Hypotheticals and You: Testing Your Questions Part III Taking Chances for Fun and Profit.

Slides:



Advertisements
Similar presentations
Part II Sigma Freud & Descriptive Statistics
Advertisements

Hypothesis Testing making decisions using sample data.
Statistics 101 Class 8. Overview Hypothesis Testing Hypothesis Testing Stating the Research Question Stating the Research Question –Null Hypothesis –Alternative.
Copyright © 2011 by Pearson Education, Inc. All rights reserved Statistics for the Behavioral and Social Sciences: A Brief Course Fifth Edition Arthur.
Significance and probability Type I and II errors Practical Psychology 1 Week 10.
1 Language of Research Adapted from The Research Methods Knowledge Base, William Trochim (2006). & Methods for Social Researchers in Developing Counries,
The Two Sample t Review significance testing Review t distribution
Research Methods in MIS
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.
July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 9_part I ( and 9.7) Tests of Significance.
1 Introduction to Policy Processes Dan Laitsch. 2 Overview Sign in Business –Crashed blog –Grades and extensions Review last class –Stats –Research –Policy.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
Evaluating Hypotheses Chapter 9. Descriptive vs. Inferential Statistics n Descriptive l quantitative descriptions of characteristics.
Tests of Hypotheses: Large Samples Chapter Rejection region Acceptance
UNDERSTANDING RESEARCH RESULTS: STATISTICAL INFERENCE.
Lecture 11 Psyc 300A. Null Hypothesis Testing Null hypothesis: the statistical hypothesis that there is no relationship between the variables you are.
1 SOC 3811 Basic Social Statistics. 2 Reminder  Hand in your Assignment 4.
Evaluating Hypotheses Chapter 9 Homework: 1-9. Descriptive vs. Inferential Statistics n Descriptive l quantitative descriptions of characteristics ~
Inferences About Means of Two Independent Samples Chapter 11 Homework: 1, 2, 4, 6, 7.
Chapter 3 Hypothesis Testing. Curriculum Object Specified the problem based the form of hypothesis Student can arrange for hypothesis step Analyze a problem.
Chapter 2 The Research Process: Coming to Terms.
S519: Evaluation of Information Systems Social Statistics Ch6: Hypothesis.
PSY 307 – Statistics for the Behavioral Sciences
Irwin/McGraw-Hill © The McGraw-Hill Companies, Inc., 2000 LIND MASON MARCHAL 1-1 Chapter Eight Tests of Hypothesis Large Samples GOALS When you have completed.
Hypothesis Testing Using The One-Sample t-Test
Descriptive Statistics
Statistical Analysis. Purpose of Statistical Analysis Determines whether the results found in an experiment are meaningful. Answers the question: –Does.
Statistical hypothesis testing – Inferential statistics I.
Research Problems and Hypotheses
Testing Hypotheses.
Chapter 1 Overview of Statistics & Definition of Key Terms & Concepts.
Hypothesis Testing in SPSS Using the T Distribution
1 © Lecture note 3 Hypothesis Testing MAKE HYPOTHESIS ©
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Chapter 8 Hypothesis Testing : An Introduction.
Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Hypothesis Testing PowerPoint Prepared by Alfred.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Causal Hypotheses. l Statement of relationship between an independent and dependent variable l Describes a cause and effect l Usually stated in two forms.
Social Statistics: Hypothesis
Learning Objectives In this chapter you will learn about the t-test and its distribution t-test for related samples t-test for independent samples hypothesis.
Inference and Inferential Statistics Methods of Educational Research EDU 660.
Chapter 12 A Primer for Inferential Statistics What Does Statistically Significant Mean? It’s the probability that an observed difference or association.
URBP 204A QUANTITATIVE METHODS I Statistical Analysis Lecture II Gregory Newmark San Jose State University (This lecture accords with Chapters 6,7, & 8.
Chapter 8 Introduction to Hypothesis Testing ©. Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: 4 Formulate.
Inferential Statistics Body of statistical computations relevant to making inferences from findings based on sample observations to some larger population.
Hypotheses setting and testing. Hypotheses A hypothesis is a specific statement of prediction. It describes in concrete terms what you expect will happen.
Chapter 20: Testing Hypotheses About Proportions AP Statistics.
1 Chapter 8 Introduction to Hypothesis Testing. 2 Name of the game… Hypothesis testing Statistical method that uses sample data to evaluate a hypothesis.
 Add up your points on test 1, quiz 1, participation, extra credit, and assignment 1 draft (possible 80 points)  Subtract from level you would like to.
METHODS IN BEHAVIORAL RESEARCH NINTH EDITION PAUL C. COZBY Copyright © 2007 The McGraw-Hill Companies, Inc.
1 Chapter 11: Bivariate Statistics and Statistical Inference “Figures don’t lie, but liars figure.” Key Concepts: Statistical Inference.
Hypotheses. What is a hypothesis? A precise and testable statement A prediction about what the outcome of an experiment will be Usually derived from a.
1 Research Problems, Questions, Hypotheses,& Frameworks.
Foundations of Inferential Statistics PADM 582 University of La Verne Soomi Lee, Ph.D.
CHAPTER 5 CONSTRUCTING HYPOTHESeS. What is A Hypothesis? A proposition, condition, or principle which is assumed, perhaps without belief, in order to.
Sampling Distribution (a.k.a. “Distribution of Sample Outcomes”) – Based on the laws of probability – “OUTCOMES” = proportions, means, test statistics.
CHAPTER OVERVIEW All About Variables The Relationship Between Independent and Dependent Variables Other Important Types of Variables Hypotheses Samples.
Hypothesis Testing and Statistical Significance
Chapter 6 Introduction to Hypothesis Testing. Hypothesis Testing  Procedure for deciding whether the outcome of a study (results for a sample) support.
© 2009 Pearson Prentice Hall, Salkind. Chapter 2 The Research Process: Coming to Terms.
Chapter 9 Introduction to the t Statistic
PURPOSE "END SOUGHT" TYPE OF RESEARCH TYPE OF INDEPENDENT VARIABLE DESCRIBE STATUS --How cases distributed on variables --EXPLORATORY relationships between.
Descriptive Statistics Report Reliability test Validity test & Summated scale Dr. Peerayuth Charoensukmongkol, ICO NIDA Research Methods in Management.
S519: Evaluation of Information Systems
Hypotheses Hypothesis Testing
More About Tests Notes from
Hypotheses.
How to Hypothesis.
Hypotheses.
Testing Hypotheses I Lesson 9.
Presentation transcript:

Chapter 7 Hypotheticals and You: Testing Your Questions Part III Taking Chances for Fun and Profit

What is a hypothesis? An “educated guess” Their role is to reflect the general problem statement or question that is driving the research Translates the problem or research question into a form that can be tested. An “educated guess” Their role is to reflect the general problem statement or question that is driving the research Translates the problem or research question into a form that can be tested.

Samples and Populations Population The large group to which you would like to generalize your findings Sample The smaller, representative group of the population that is used to do the research Sampling error – a measure of how well a sample represents the population “Generalizability of the sample” Population The large group to which you would like to generalize your findings Sample The smaller, representative group of the population that is used to do the research Sampling error – a measure of how well a sample represents the population “Generalizability of the sample”

The Null Hypothesis Statements that two or more things are equal or unrelated to each other H 0 :  1 =  2 The starting point Accepted as true without knowing more information Benchmark with which actual outcomes are compared Statements that two or more things are equal or unrelated to each other H 0 :  1 =  2 The starting point Accepted as true without knowing more information Benchmark with which actual outcomes are compared

The Research Hypothesis Statement that there is a relationship between two variables Two Types… Nondirectional -- H 1 : X 1 ≠ X 2 Reflects a difference; direction is not specified Two-tailed test Directional -- H 1 : X 1 > X 2 Reflects a difference; direction is specified One-tailed test Statement that there is a relationship between two variables Two Types… Nondirectional -- H 1 : X 1 ≠ X 2 Reflects a difference; direction is not specified Two-tailed test Directional -- H 1 : X 1 > X 2 Reflects a difference; direction is specified One-tailed test

Null & Research Hypotheses

What Makes a Good Hypothesis? Stated in a declarative form rather than a question “Females are taller than males at age 13” Not “Are females taller than males at age 13?” Defines an expected relationship between variables Reflects the theory or literature on which they are based (Google scholar) Brief and to the point Testable – includes variables that can be measured and results than can be statistically verified. Is interesting and NEW knowledge! Stated in a declarative form rather than a question “Females are taller than males at age 13” Not “Are females taller than males at age 13?” Defines an expected relationship between variables Reflects the theory or literature on which they are based (Google scholar) Brief and to the point Testable – includes variables that can be measured and results than can be statistically verified. Is interesting and NEW knowledge!