'Unequal variances' presentation slideshows

Introduction to Biostatistics for Clinical Researchers

Introduction to Biostatistics for Clinical Researchers. University of Kansas Department of Biostatistics & University of Kansas Medical Center Department of Internal Medicine. Schedule. 5 th lecture, TBD. Materials.

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Chapter 10/11

1.7k views • 118 slides

Bivariate Analyses

Bivariate Analyses. Bivariate Procedures I Overview. Chi-square test T-test Correlation. Chi-Square Test. Relationships between nominal variables Types: 2x2 chi-square Gender by Political Party 2x3 chi-square Gender by Dosage (Hi vs. Med. Vs. Low). Starting Point: The Crosstab Table.

990 views • 57 slides

CESS Workshop Oxford University June 2013 Don Green Professor of Political Science Columbia University

CESS Workshop Oxford University June 2013 Don Green Professor of Political Science Columbia University. Outline. Examples of ongoing field experiments Why experiment? Why experiment in the field? Key ideas in Field Experiments: Design, Analysis, and Interpretation

396 views • 39 slides

586 views • 36 slides

Chapter 24 Independent Samples Chapter 25 Paired Data

508 views • 32 slides

Biostat 200 Lecture 7

447 views • 30 slides

Modern Approaches

Modern Approaches. The Bootstrap with Inferential Example. Non-parametric?. Non-parametric or distribution-free tests have more lax and/or different assumptions Properties: No assumption about the underlying distribution being normal

715 views • 26 slides

Chapter 13 Testing Hypotheses

Chapter 13 Testing Hypotheses. Overview Research and null hypotheses One and two-tailed tests Errors Testing the difference between two means t tests. You already know how to deal with two nominal variables. Independent Variables. Nominal Interval.

531 views • 25 slides

T-tests continued

T-tests continued. Outline. Review the One-sample case Independent samples Basics Unequal N Example Issues Paired samples Basics Examples Comparing formulas Conclusion. Two samples. Previously compared sample mean to a known population mean Now want to compare two samples

350 views • 24 slides

Multivariate Statistics Analyzing More than One Variable at a Time

Multivariate Statistics Analyzing More than One Variable at a Time. 1. Chi Square for two variables 2. T-test for two means 3. ANOVA 4. Regression. Chi-square for Two Variables. When to use: number of variables ________ scaling of variables ________ Basic Idea:

360 views • 23 slides

Decision making as a model

Decision making as a model. a. more models and measures b. costs and benefits c. the optimal criterion (Bayes is back). Un equal variances:. Different d'-s (model equal variances). A. B. Same sensitivity? (model uneqal variances). z FA ? s. z H = ---- + ---.

362 views • 21 slides

Two-sample problems for population means

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Two-sample problems for population means

375 views • 17 slides

Module 27 : Two Sample t-tests With Unequal Variances

Module 27 : Two Sample t-tests With Unequal Variances. This module shows how to test the hypothesis that two population means are equal when there is evidence that the requirement that the two populations have the same variance is not met. REVIEWED 19 July 05 /MODULE 27. The General Situation.

572 views • 15 slides

STA 291 Spring 2010

STA 291 Spring 2010. Lecture 21 Dustin Lueker. Example. If the null hypothesis is rejected at a 2% level of significance, will the null be rejected at a 5% level of significance? Yes No Maybe. Example.

198 views • 14 slides

Flexible Metric NN Classification

Flexible Metric NN Classification. based on Friedman (1995) David Madigan. Nearest-Neighbor Methods. k -NN assigns an unknown object to the most common class of its k nearest neighbors Choice of k ? (bias-variance tradeoff again) Choice of metric?

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An alysis o f Va riance (ANOVA)

An alysis o f Va riance (ANOVA). ANOVA. More than two samples Can test multiple factors at the same time Multiple-way ANOVA One factor: One-way ANOVA E.g. Are there any difference of the heights of students from class A, B, C and D? Two factors: Two-way ANOVA

294 views • 12 slides

Writing the Results Section

Writing the Results Section. Some Studies with Results Sections Reporting Common Statistical Tests and Procedures. Study which reports the results of chi-square tests of hypotheses Study which reports the results of factor analysis, logistic regression, and multiple regression analysis

789 views • 11 slides

Writing the Results Section

Writing the Results Section. Some Studies with Results Sections Reporting Common Statistical Tests and Procedures. Study which reports the results of chi-square tests of hypotheses Study which reports the results of factor analysis, logistic regression, and multiple regression analysis

433 views • 11 slides