'T tests' diaporamas de présentation

Between-Groups ANOVA

Between-Groups ANOVA. Chapter 12. When to use an F distribution Working with more than two samples ANOVA Used with two or more nominal independent variables and an interval dependent variable. Why not use multiple t -tests?. The problem of too many t tests Fishing for a finding

500 views • 35 slides

Chapter 8: Testing Statistical Hypothesis

Chapter 8: Testing Statistical Hypothesis. http://www.rmower.com/statistics/Stat_HW/0801HW_sol.htm. Hypothesis: Examples. Parameter: ? = proportion of cats that are long haired. Hypothesis: ? < 0.40 (40%) Parameter(s):

859 views • 32 slides

Multiple Comparisons

Multiple Comparisons. Overall Risk of Type I Error in Using Repeated t Tests at ? = 0.05. ANOVA: Graphical. Example: ANOVA terms. ANOVA Table. ANOVA Table: Formulas. F distribution.

550 views • 25 slides

Chapter 18: The Chi-Square Statistic

Chapter 18: The Chi-Square Statistic. Parametric and Nonparametric Tests. Chapter 18 introduces two non-parametric hypothesis tests using the chi-square statistic: the chi-square test for goodness of fit and the chi-square test for independence. Parametric and Nonparametric Tests (cont.).

379 views • 22 slides

Introduction to Econometrics

Introduction to Econometrics. Week 4 Multiple regression models. Lecture plan. the need for additional regressors classical assumptions and least squares estimation extended to allow for several regressors interpreting the results t tests of individual parameter values

498 views • 22 slides

z, t, and F tests

1.6k views • 19 slides

Outline

Outline. 1. Histograms and boxplots 2. Mean and standard deviation 3 . Proportions and bar charts 4 . Sampling and allocation 5 . Inference and confidence intervals. 6 . t tests and alternatives 7. ANOVA 8. Regression and correlation 9 . More ANOVA and regression

318 views • 17 slides

EDUC 200C Section 9 ANOVA

264 views • 17 slides

Priors, Normal Models, Computing Posteriors

Priors, Normal Models, Computing Posteriors. st5219 : Bayesian hierarchical modelling lecture 2.2. The normal distribution. Stupid name. The normal distribution. Although data are normally not normal, the normal distribution is a popular model for data Assume normal distributions in:

158 views • 6 slides

METHODOLOGY

Subjects 27 young adults with disabilities:13 males (Age: 18-25) and 14 females (Age 18-26) 27 young adults without disabilities (Age: 18-25) Design An action study in which participants were trained workout activities in a naturalistic setting.

170 views • 1 slides