'Ss total' presentation slideshows

SPSS Problem # 7

SPSS Problem # 7. Page 467 13.5 Page 416 12.2. Cookbook due Wednesday May 4 th !!. What if. You were asked to determine if psychology and sociology majors have significantly different class attendance (i.e., the number of days a person misses class) You would simply do a two-sample t-test

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ANOVA: Analysis of Variance

ANOVA: Analysis of Variance . 1-way ANOVA. ANOVA. What is Analysis of Variance The F -ratio Used for testing hypotheses among more than two means As with t -test, effect is measured in numerator, error variance in the denomenator Partitioning the Variance

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Introduction to ANOVA

Introduction to ANOVA. Introduction to Statistics Chapter 13 Apr 13-15, 2010 Classes #23-24. Where are we?. Concluded material on t-tests & introduction of hypothesis testing Good conceptual & computational foundation for more advanced inferential statistics

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Chapter 12

Analysis of Variance. Chapter 12. 1. 2. 3. 4. Chapter Goals. When you have completed this chapter, you will be able to:. Discuss the general idea of analysis of variance. List the characteristics of the F distribution.

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Experimental Statistics - week 12

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Repeated Measures ANOVA

Repeated Measures ANOVA. Between Subjects Variance Is Partitioned From the Error Variance Conceptual Approach Using The Source Table. Total Variability. Effect Variability (MS Between). Error Variability (MS Within). The Source Table. Keeps track of all data in complex ANOVA designs

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M onoton ic relationship of two variables, X and Y

M onoton ic relationship of two variables, X and Y. Deterministi c monotoni city. Y. 16. If X grows then Y grows too. 12. 8. 4. 0. X. 0. 1. 2. 3. 4. Stochasti c monotoni city. Y. 16. *. *. If X grows then likely Y grows too. *. 12. *. *. *. 8. *. *. *.

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ANOVA Demo Part 2: Analysis

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Analysis of Variance

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Analysis of Variance

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Lecture 9: One Way ANOVA Between Subjects

Lecture 9: One Way ANOVA Between Subjects. Laura McAvinue School of Psychology Trinity College Dublin. Analysis of Variance. A statistical technique for testing for differences between the means of several groups One of the most widely used statistical tests T-Test

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Chapter Eleven

Chapter Eleven. Analysis of Variance. GOALS When you have completed this chapter, you will be able to:. ONE Discuss the general idea of analysis of variance. TWO List the characteristics of the F distribution.

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Analysis of Covariance

Analysis of Covariance.

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Chapter 9 and 10

Chapter 9 and 10. Simple ANOVA with Post Hoc and Repeated Measures ANOVA. Analysis of Variance (ANOVA). Used to determine differences between 2+ groups. General: ANOVA tests the likelihood that the samples came from the same population. Are the mean scores different .

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Computing our example

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The F-Distribution

The F-Distribution. Illustrative Problem A manufacturer of soft drink machines is concerned about the variance in the amount filled for soft drinks. It has sample tested each of two machines with the following results:.

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Analysis of Variance

12. Analysis of Variance. Analysis of variance (ANOVA). How do we compare multiple samples at once? We could do pairwise t -tests to see which differed from one another.

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ANOVA

ANOVA. Analysis of Variance or The F distribution. Example.

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Social Security IDS 1999: Did You Ever Wonder?

Social Security IDS 1999: Did You Ever Wonder?. Sarah Ishill, Rush Kimball, and Kevin O'Halloran. sarahishii@live.com, rushk1030@gmail.com, kevinmohalloran@gmail.com. History. FDR on 8/14/35. 1937 January 1940. Economic Security Act Abraham Epstein: AASS Ida May Fuller: (3) $24.75

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Regression Analysis

Haasbro Toys Sold by Advertising Dollars. Regression Analysis. Solving for SS Residual. Solving for SS Regression. Solving for SS Total.

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