'Ss total ss' presentation slideshows

IE341: Introduction to Design of Experiments

IE341: Introduction to Design of Experiments. Last term we talked about testing the difference between two independent means. For means from a normal population, the test statistic is

2.58k views • 246 slides

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

1.36k views • 70 slides

One-Way ANOVA

One-Way ANOVA. ANOVA = Analysis of Variance This is a technique used to analyze the results of an experiment when you have more than two groups. Example. You measure the number of days 7 psychology majors, 7 sociology majors, and 7 biology majors are absent from class

880 views • 64 slides

Repeated-Measures ANOVA

Repeated-Measures ANOVA. Old and New. One-Way ANOVA looks at differences between different samples exposed to different manipulations (or different samples that may come from different groups) within a single factor. That is, 1 factor, k levels ? k separate groups are compared.

577 views • 41 slides

Analysis of Variance

959 views • 35 slides

Analysis of Variance

477 views • 35 slides

Analysis of variance (2)

Analysis of variance (2). Lecture 10. Measurements (data). Descriptive statistics. Data transformation. Normality Check Frequency histogram (Skewness & Kurtosis) Probability plot, K-S test. YES. NO. Mean, SD, SEM, 95% confidence interval. Median, range, Q1 and Q3.

441 views • 27 slides

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 .

420 views • 27 slides

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 .

414 views • 27 slides