'Variance anova' diaporamas de présentation

Chapter 15

Chapter 15. The Analysis of Variance. A Problem.

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Sociology 680

Sociology 680. Multivariate Analysis: Analysis of Variance. A Typology of Models. Linear Models. Category Models. Examples of the Four Types. 1. The effects of sex and race on Income. 2. The effects of age and education on income.

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). A single-factor ANOVA can be used to compare more than two means.

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Sociology 680

Sociology 680. Multivariate Analysis: Analysis of Variance. A Typology of Models. Linear Models. Category Models. Examples of the Four Types. 1. The effects of sex and race on Income. 2. The effects of age and education on income.

434 views • 26 slides

Sociology 690

Sociology 690. Multivariate Analysis: Analysis of Variance. A Typology of Models. Linear Models. Category Models. Examples of the Four Types. 1. The effects of sex and race on Income. 2. The effects of age and education on income.

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Optimism as modifier of escalation of commitment

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). (Click icon for audio). Analysis of Variance Sum of Squares. Analysis of Variance Sum of Squares Between. = individual scores, i.e., the i th observation or test unit in the j th group = grand mean

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Sociology 680

Sociology 680. Multivariate Analysis: Analysis of Variance. A Typology of Models. Linear Models. Category Models. Examples of the Four Types. 1. The effects of sex and race on Income. 2. The effects of age and education on income.

272 views • 20 slides

Sociology 680

Sociology 680. Multivariate Analysis: Analysis of Variance. A Typology of Models. Linear Models. Category Models. Examples of the Four Types. 1. The effects of sex and race on Income. 2. The effects of age and education on income.

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MKT 317

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Gage R&R

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Gage R&R

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). A single-factor ANOVA can be used to compare more than two means.

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Analysis of Variance (ANOVA) Comparing means between three or more groups

Analysis of Variance (ANOVA) Comparing means between three or more groups. Photo credit: http://www.stattucino.com/. Agenda. Lab Stuff: Questions and Clarifications? Analysis of Variance (ANOVA). Analysis of Variance.

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LECTURE 8

LECTURE 8. One Way ANOVA. One-way ANOVA. In the previous lecture, we looked at using the two sample t-test when you have data from two sample and wish to know whether the mean of the two population from which the samples are drawn are the same or different.

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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.

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Hypothesis testing for the mean

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). Why ANOVA?. In real life things do not typically result in two groups being compared Test lines on I-64 in Frankfort Two-sample t-tests are problematic Increasing the risk of a Type I error

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Tuesday, November 12 Analysis of Variance

Tuesday, November 12 Analysis of Variance. Tuesday, November 12 The Analysis of Variance. Tuesday, November 12 The Analysis of Variance. ANOVA. Between-group variance estimate. F = . within-group variance estimate. _. SS T = ? (X - X) 2 SS B = ? N G (X G - X) 2

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Quiz 11

Quiz 11. Analysis of Variance (ANOVA) post hoc tests. 1. What is the critical F value for a study involving the means of 4 groups of 10 people each given a =0.05?. a) 8.6166 b) 8.5944 c) 2.9223 d) 2.8387. 2. Which condition is not necessary before conducting an ANOVA ?.

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