1 / 9

Normality?

Compare one or two populations. Experimental Design?. Independent Samples. Blocked Samples. Normality?. Non-normal distribution. Normal distribution. Number of populations?. Number of populations?. Compare two ore more populations. see Page 2. Kruskal-Wallis Test. Kruskal-Wallis Test.

lixue
Download Presentation

Normality?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Compare one or two populations Experimental Design? Independent Samples Blocked Samples Normality? Non-normal distribution Normal distribution Number of populations? Number of populations? Compare two ore more populations see Page 2 Kruskal-Wallis Test Kruskal-Wallis Test Wilcoxon Rank Sum Test Wilcoxon Signed Rank Sum Test • Reminder: Ordinal data will be treated like non-normal distributions: • Independent samples: Wilcoxon Rank Sum Test • Blocked Samples: Sign Test • More than two populations: Kruskal-Wallis Test Wilcoxon Rank Sum Test Wilcoxon Signed Rank Sum Test Page

  2. Number of populations? One or two populations Two or more populations see Page 4 Compare two or more populations Interval Nominal Experimental Design? see Page 3 Independent Samples Blocked Samples One-way analysis of variance Randomized block analysis (two-way) of variance Randomized block analysis of variance Anova: Single Factor Anova: Two-Factor Without Replication Anova: Two-Factor With Replication Page

  3. Number of categories? More than two categories Two categories Chi-squared of a contigency table Chi-squared of a contigency table Nominal Contingency Table Contingency Table Page

  4. Interval Nominal Type of descriptive measurement? Number of categories? see Page 5 see Page 6 One or two populations Describe a population Problem objective? Compare two populations Data Type? Data Type? Interval Nominal Type of descriptive measurement? Number of categories? see Page 7 see Page 8 Page

  5. Interval Type of descriptive Measurement? Central Location Variability t test and estimator of test and estimator of t-test: Mean t-estimate: Mean Chi-squared Test: Variance Chi-squared Estimate: Variance Page

  6. Nominal Number of categories? Two categories More than two categories Chi-squared goodness of fit Chi-squared goodness of fit z test and estimator of p z-test: Proportion z-Estimate: Proportion Page

  7. F test and estimator of F-Test Two-Sample for Variances F-Estimate of the Ratio of Two Variances t test and estimator of t test and estimator of (Equal-Variances) t test and estimator of (Unequal-variances) t-Test: Paired Two Sample for Means t-Estimate: Mean Interval Type of descriptive Measurement? Central Location Variability Independent Samples Experimental Design? Matched Pairs Population Variances? Unequal Equal T-Test: Two Sample Assuming Unequal Variances t-Test: Two Sample Assuming Equal Variances Page

  8. Nominal Number of categories? More than two categories Two categories chi-squared goodness of fit Chi-squared of a contigency table Contingency Table z test and estimator of p1 – p2 z-test: 2 Proportions z-Estimate: 2 Proportions Page

  9. More than two categories Two categories z test of p or the chi-squared goodness of fit Chi-squared goodness of fit Number of categories? Number of categories? More than two categories More than two categories Two categories Two categories z test of p or the chi-squared goodness of fit Chi-squared of a contigency table Chi-squared of a contigency table Chi-squared of a contigency table Problem Objective? Compare populations Describe a population Number of categories? Number of populations? Two populations Two or more populations

More Related