November Schedule Nov. 9correlation (13)Nov. 9correlation (13) Nov. 14, 16correlation (13) bivariate regression (14)Nov. 14, 16correlation (13) bivariate.

Slides:



Advertisements
Similar presentations
Chi Square Tests Chapter 17.
Advertisements

Chapter 13: The Chi-Square Test
Correlation. Introduction Two meanings of correlation –Research design –Statistical Relationship –Scatterplots.
T-Tests.
t-Tests Overview of t-Tests How a t-Test Works How a t-Test Works Single-Sample t Single-Sample t Independent Samples t Independent Samples t Paired.
T-Tests.
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
Basic Statistical Review
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Statistics for the Social Sciences Psychology 340 Fall 2006 Putting it all together.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Chapter Eighteen MEASURES OF ASSOCIATION
Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis.
Bivariate Statistics GTECH 201 Lecture 17. Overview of Today’s Topic Two-Sample Difference of Means Test Matched Pairs (Dependent Sample) Tests Chi-Square.
Measures of Association Deepak Khazanchi Chapter 18.
Statistics for the Social Sciences Psychology 340 Spring 2005 Course Review.
Summary of Quantitative Analysis Neuman and Robson Ch. 11
Inferential statistics Hypothesis testing. Questions statistics can help us answer Is the mean score (or variance) for a given population different from.
The Practice of Social Research
Leedy and Ormrod Ch. 11 Gray Ch. 14
Chapter 9 Two-Sample Tests Part II: Introduction to Hypothesis Testing Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.
Statistics for the Behavioral Sciences
CJ 526 Statistical Analysis in Criminal Justice
Copyright © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 17 Inferential Statistics.
Copyright © 2008 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 22 Using Inferential Statistics to Test Hypotheses.
Chapter 8 McGrew Elements of Inferential Statistics Dave Muenkel Geog 3000.
Chapter 13 – Difference Between Two Parameters Math 22 Introductory Statistics.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
CHAPTER 27 PART 1 Inferences for Regression. YearRate This table.
Statistics PSY302 Quiz One Spring A _____ places an individual into one of several groups or categories. (p. 4) a. normal curve b. spread c.
Determination of Sample Size: A Review of Statistical Theory
ITEC6310 Research Methods in Information Technology Instructor: Prof. Z. Yang Course Website: c6310.htm Office:
Chapter 16 Data Analysis: Testing for Associations.
Chapter 6 Simple Regression Introduction Fundamental questions – Is there a relationship between two random variables and how strong is it? – Can.
ANALYSIS PLAN: STATISTICAL PROCEDURES
Chapter Twelve The Two-Sample t-Test. Copyright © Houghton Mifflin Company. All rights reserved.Chapter is the mean of the first sample is the.
Psychology 820 Correlation Regression & Prediction.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 12 Testing for Relationships Tests of linear relationships –Correlation 2 continuous.
Math 4030 – 13a Correlation & Regression. Correlation (Sec. 11.6):  Two random variables, X and Y, both continuous numerical;  Correlation exists when.
Correlation. Up Until Now T Tests, Anova: Categories Predicting a Continuous Dependent Variable Correlation: Very different way of thinking about variables.
Chapter 16 Social Statistics. Chapter Outline The Origins of the Elaboration Model The Elaboration Paradigm Elaboration and Ex Post Facto Hypothesizing.
Introducing Communication Research 2e © 2014 SAGE Publications Chapter Seven Generalizing From Research Results: Inferential Statistics.
Lesson 14 - R Chapter 14 Review. Objectives Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review.
Nonparametric Tests with Ordinal Data Chapter 18.
Chapter 14 – 1 Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Research Methodology Lecture No :26 (Hypothesis Testing – Relationship)
SOCW 671 #11 Correlation and Regression. Uses of Correlation To study the strength of a relationship To study the direction of a relationship Scattergrams.
Chapter 13 Understanding research results: statistical inference.
Educational Research Inferential Statistics Chapter th Chapter 12- 8th Gay and Airasian.
Chapter 22 Inferential Data Analysis: Part 2 PowerPoint presentation developed by: Jennifer L. Bellamy & Sarah E. Bledsoe.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Four ANALYSIS AND PRESENTATION OF DATA.
Cross Tabulation with Chi Square
Analysis and Interpretation: Multiple Variables Simultaneously
Lecture #24 Thursday, November 10, 2016 Textbook: 13.1 through 13.6
REGRESSION G&W p
REGRESSION (R2).
Chapter 10 CORRELATION.
Module 6: Descriptive Statistics
Math 4030 – 12a Correlation.
BIVARIATE REGRESSION AND CORRELATION
AP Statistics: Chapter 7
Essentials of Marketing Research William G. Zikmund
Summarising and presenting data - Univariate analysis continued
Chapter Thirteen Chapter 13.
Wednesday, September 23 Descriptive v. Inferential statistics.
Part IV Significantly Different Using Inferential Statistics
Statistical Process Control
MG3117 Issues and Controversies in Accounting
Section 12.2 Comparing Two Proportions
Statistics PSY302 Review Quiz One Spring 2017
Presentation transcript:

November Schedule Nov. 9correlation (13)Nov. 9correlation (13) Nov. 14, 16correlation (13) bivariate regression (14)Nov. 14, 16correlation (13) bivariate regression (14) Nov. 21, 23elements of inf. stats. (8) goodness-of-fit (11)Nov. 21, 23elements of inf. stats. (8) goodness-of-fit (11) Nov. 28, 30goodness-of-fit (11) inf. spatial stats. (12)Nov. 28, 30goodness-of-fit (11) inf. spatial stats. (12) Dec. 5FINAL QUIZDec. 5FINAL QUIZ

Elements of Inferential Statistics module 16

Reading read Chapter 8read Chapter 8

Elements of Inferential Statistics

1-Sample Difference of Means Tests

Small Sample

Issues in Inferential Testing & Test Selection degrees of freedomdegrees of freedom

Issues in Inferential Testing & Test Selection sampling issues and inferential testingsampling issues and inferential testing –common characteristics –common assumptions randomnessrandomness independenceindependence

Issues in Inferential Testing & Test Selection artificial sampleartificial sample natural sample (population)natural sample (population) –inferential analysis has to be used with great caution

Issues in Inferential Testing & Test Selection inferential test selectioninferential test selection

Type of question: Differences Nature of relationship Nature of relationship Type of question: Differences Nature of relationship Nature of relationship SCALE 1 sample matched-pairs 2 samples 2 variables multiple variables NOMINALORDINAL INTERVAL/ 1 sample RATIO difference of means of means ( Z or t ) ( Z or t ) 1 sample 1 sample difference difference of proportions of proportions ( Z ) ( Z )

Issues in Inferential Testing & Test Selection nonparametric or distribution- free testsnonparametric or distribution- free tests