'Group means' presentation slideshows

1.02k views • 71 slides

Bivariate Analyses

Bivariate Analyses. Bivariate Procedures I Overview. Chi-square test T-test Correlation. Chi-Square Test. Relationships between nominal variables Types: 2x2 chi-square Gender by Political Party 2x3 chi-square Gender by Dosage (Hi vs. Med. Vs. Low). Starting Point: The Crosstab Table.

1.03k views • 57 slides

One-way Between Groups Analysis of Variance

One-way Between Groups Analysis of Variance. ?320 Ainsworth. Major Points. Problem with t-tests and multiple groups The logic behind ANOVA Calculations Multiple comparisons Assumptions of analysis of variance Effect Size for ANOVA. T-test.

780 views • 52 slides

Chapter 13: Comparing Several Means (One-Way ANOVA)

Chapter 13: Comparing Several Means (One-Way ANOVA). In Chapter 13:. 13.1 Descriptive Statistics 13.2 The Problem of Multiple Comparisons 13.3 Analysis of Variance 13.4 Post Hoc Comparisons 13.5 The Equal Variance Assumption 13.6 Introduction to Nonparametric Tests.

1.2k views • 52 slides

Use of Statistics in Cognitive Linguistics

Use of Statistics in Cognitive Linguistics. Laura A. Janda laura.janda @ uit.no. A survey of use of statistics in articles in Cognitive Linguistics , 1990-2012 Concrete examples of how researchers have applied statistical models in linguistics. ?. The Quantitative Turn: 2008.

755 views • 46 slides

ANOVA Demo Part 2: Analysis

482 views • 36 slides

ANOVA: Analysis of Variance

ANOVA: Analysis of Variance. The Titanic Disaster. Were there differences in survival rates by gender/age groups (men, women, children) or economic groups (1st, 2nd, and 3rd class tickets and crew)? IF SO, WHY? Survival rate = Proportion of the group that survived. Durkheim: Suicide.

548 views • 31 slides

562 views • 31 slides

Eco 205: Econometrics

454 views • 29 slides

MA411 BUSINESS STATISTICS II

MA411 BUSINESS STATISTICS II. MODULE 6 Simple Linear Regression and Correlation. Objectives. Determine the least squares regression equation, and make point and interval estimates for the dependent variable. Determine and interpret the value of the: Coefficient of correlation.

652 views • 29 slides

Comparing Many Group Means

Comparing Many Group Means. One Way Analysis of Variance. Data Situation. The data situation has k populations and we wish to determine if there are any differences in the population means. If there are differences, we need to describe them.

386 views • 28 slides

Introduction to Policy Processes

Introduction to Policy Processes. Dan Laitsch. 1. Overview (Class meeting 5). Sign in Agenda PBL break out, final project polishing Centre Jobs Review last class Stats PBL planning (presentations) Policy Conclusions [Lunch] Action research Course review Evaluation PBL and dismiss.

465 views • 26 slides

Chapter 8

Chapter 8. 1-Way Analysis of Variance - Completely Randomized Design. Comparing t > 2 Groups - Numeric Responses. Extension of Methods used to Compare 2 Groups Independent Samples and Paired Data Designs Normal and non-normal data distributions. Completely Randomized Design (CRD).

441 views • 23 slides

The problem of sampling error in psychological research

The problem of sampling error in psychological research. We previously noted that sampling error is problematic in psychological research because differences observed between experimental conditions could be due to real differences or sampling error. Example of the problem.

297 views • 21 slides

The t-Test for Differences Between Groups

The t-Test for Differences Between Groups. The t-Test. Tests whether the means of two groups are statistically different from each other. Statistical Analysis. Statistical Analysis. Control group mean. Statistical Analysis. Control group mean. Treatment group mean.

337 views • 20 slides

New Product development with facebook fans: Idea Contest Experiment ???? ??? ??? ?? ???? - ???? ????? ????

368 views • 16 slides

Chapter 9

Chapter 9. Introduction to the Analysis of Variance Part 1: Oct. 22, 2013. Analysis of Variance (ANOVA). Testing variation among the means of several groups One-way analysis of variance Compare 3 or more groups on 1 dimension (IV)

294 views • 13 slides

Part IV Significantly Different: Using Inferential Statistics

Part IV Significantly Different: Using Inferential Statistics. Chapter 13 ? Two Groups Too Many? Try Analysis of Variance (ANOVA). Analysis of Variance (ANOVA). Used to test for differences between two or more group means.

284 views • 13 slides

ClearH 2 O

256 views • 11 slides

Ch 12 1-way ANOVA SPSS example

252 views • 6 slides