PPT-Two-Way Balanced Independent Samples ANOVA

Computations Contrasts Confidence Intervals Partitioning the SS total The total SS is divided into two sources Cells or Model SS Error SS The model is Partitioning the SS cells. The square root of the pooled variance is called the pooled standard deviation deviation standard Pooled Example Male and Female Sleep Times Question How much difference is there between how long female and male students slept the previous night Da Methods for Dummies. Isobel Weinberg & Alexandra . Westley. Student’s t-test. Are these two data sets significantly different from one another? . William Sealy Gossett. Are these two distributions different?. The . Univariate. Approach. An ANOVA Factor Can Be. Independent Samples. Between Subjects. Correlated Samples. Within Subjects, Repeated Measures. Randomized Blocks, Split Plot. Matched Pairs if . k. Methods for Dummies. Isobel Weinberg & Alexandra . Westley. Student’s t-test. Are these two data sets significantly different from one another? . William Sealy Gossett. Are these two distributions different?. Methods for Dummies. Isobel Weinberg & Alexandra . Westley. Student’s t-test. Are these two data sets significantly different from one another? . William Sealy Gossett. Are these two distributions different?. . Chapter 10 - Analysis of Variance (ANOVA). . Introduction. 10.1 - Single-Factor ANOVA. 10.2 - Multiple Comparisons in ANOVA. 10.3 - More on Single-Factor ANOVA. Group. Samples. Group Means. Topic 8 – Analysis of Means. Normally Distributed. Not Normally Distributed. One sample vs. population. One sample t-test. Wilcoxon. Signed Rank. Two paired samples. Paired t-test. Difference then Signed Rank. Chow, Ph.D. . Senior Scientist and Professor. Statistics Department . University Park. November 8. , 2016. CTSI BERD Research Methods Seminar Series. Basic statistical concepts . (from Stat I). Descriptive statistics (numeric/graphical). Research Methods in Physical Activity. Research Methods in Physical Activity. Purpose and Protocol of the Statistical Test. The purpose of the statistical test is to evaluate the null hypothesis at a specific level of probability (e.g., p < .05). In other words, do the two levels of treatment differ significantly (p < .05) so that these differences are not attributable to a chance occurrence more than 5 times in 100?. Independent samples have no relation to each other.. An example would be comparing the costs of vacationing in Florida to the cost of vacationing in Virginia.. Dependent samples are related to each other.. ANOVA. . and non-parametric test. Overview. Measure of central tendency (summary statistics). Measure of variability . Hypothesis testing. ANOVA. Why study statistics. Need to understand and use data to make decisions.. The . Multivariate. Approach. One-Way. Cross-Species-Fostering. House mice onto house mice, prairie deer mice, or domestic Norway rats.. After weaning, tested in apparatus with access to tunnels scented like clean pine shavings, house mouse, deer mouse, or rat.. ANOVA is comparison of means. Each possible value of a factor or combination of factor is a treatment.. The ANOVA is a powerful and common statistical procedure in the social sciences. It can handle a variety of situations.. Cohen Chapter 15. ANOVA. “The biggest job we have is to teach a newly hired employee how to . fail. intelligently. We have to train him to experiment over and over and to keep on trying and failing until he learns what will work.”.