'Source df ss ms' presentation slideshows

Chapter 9:

Chapter 9:. Factorial Experiments. Section 9.1: One-Factor Experiments. In general, a factorial experiment involves several variables. One variable is the response variable , which is sometimes called the outcome variable or the dependent variable .

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Section 12-3

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The Power of Regression

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Design and Analysis of Experiments Lecture 1.2

Design and Analysis of Experiments Lecture 1.2. Review of Lecture 1.1 Application; a simple comparative experiment Comparing several means Randomised block design Randomised block analysis. Examinations Timetable.

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A (second-order) multiple regression model with interaction terms

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Lesson 10:

Lesson 10:. Analysis of Variance. Outline. Two Sample Tests. TEST FOR EQUAL VARIANCES. TEST FOR EQUAL MEANS. H o. H o. Population 1. Population 1. Population 2. Population 2. H 1. H 1. Population 1. Population 2. Population 1. Population 2. Characteristics of F -Distribution.

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Dr. Ka-fu Wong

Dr. Ka-fu Wong. ECON1003 Analysis of Economic Data. Chapter Ten. An alysis o f Va riance. GOALS. Discuss the general idea of analysis of variance. List the characteristics of the F distribution.

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1-Way Anova

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REGRESSION (CONTINUED)

LECTURE 4. REGRESSION (CONTINUED) Analysis of Variance; Standard Errors & Confidence Intervals; Prediction Intervals; Examination of Residuals. Supplementary Readings : Wilks , chapters 6,9;

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More sophisticated ANOVA applications

More sophisticated ANOVA applications. Repeated measures and factorial PSY295-001 SP2003. Major Topics. What are repeated-measures? An example Assumptions Advantages and disadvantages Review questions. Effects of Counseling For Post-Traumatic Stress Disorder. Foa, et al. (1991)

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ANOVA: Analysis of Variation

ANOVA: Analysis of Variation. Math 243 Lecture R. Pruim. The basic ANOVA situation. Two variables: 1 Categorical, 1 Quantitative Main Question: Do the (means of) the quantitative variables depend on which group (given by categorical variable) the individual is in?

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ANOVA: Analysis of Variation

ANOVA: Analysis of Variation. Math 243 Lecture R. Pruim. The basic ANOVA situation. Two variables: 1 Categorical, 1 Quantitative Main Question: Do the (means of) the quantitative variables depend on which group (given by categorical variable) the individual is in?

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One-Factor Analysis of Variance

One-Factor Analysis of Variance. A method to compare two or more (normal) population means. Does distance it takes to stop car at 60 mph depend on tire brand ?. Brand1 Brand2 Brand3 Brand4 Brand5 194 189 185 183 195 184 204 183 193 197 189 190 186 184 194

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Week

Week. ANOVA. Four. The ANOVA Test of Means. The F distribution is also used for testing whether two or more sample means came from the same or equal populations. This technique is called analysis of variance or ANOVA. The null and alternate hypotheses for four sample means is given as:

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Lecture 16 Psyc 300A

Lecture 16 Psyc 300A. What a Factorial Design Tells You. Main effect : The effect of an IV on the DV, ignoring all other factors in the study. (Compare means of different levels of IV, while ignoring [collapsing across] other IVs [ i.e., compare marginal means])

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Solutions to Tutorial 6 Problems

Solutions to Tutorial 6 Problems. 1. The matrix plot of the Milk Production Data. The linearity assumption is ok. The measurement error assumption: a). Normality: seems ok b). Mean zero: ok

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Agenda

Exam 2 Review Regression Prediction Polynomial Regression. Agenda. Prediction. One of the objectives of regression was to be able to predict the behavior of the dependent variable.

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Agenda

Exam 2 Review Regression Prediction Polynomial Regression. Agenda. Prediction. One of the objectives of regression was to be able to predict the behavior of the dependent variable.

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Summary of hypothesis tests for testing slopes

Summary of hypothesis tests for testing slopes. Example. Measured mean arterial blood pressure (BP) of 20 individuals with hypertension. Also, measured four possible predictor variables: age (X 1 ) weight (X 2 ) body surface area (X 3 ) duration of hypertension (X 4 ).

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