'Our test statistic' presentation slideshows

Classical Hypothesis Testing Theory

Classical Hypothesis Testing Theory. Alexander Senf. Review. 5 steps of classical hypothesis testing (Ch. 3) Declare null hypothesis H 0 and alternate hypothesis H 1 Fix a threshold ? for Type I error (1% or 5%) Type I error ( ? ): reject H 0 when it is true

1.4k views • 102 slides

Session 8b

Session 8b. Overview. Hypothesis Testing Review of the Basics Single Parameter Differences Between Two Parameters Independent Samples Matched Pairs Goodness of Fit Simulation Methods. Basic Hypothesis Testing Method. Formulate Two Hypotheses Select a Test Statistic

957 views • 73 slides

BIO503: Lecture 4 Statistical models in R

623 views • 40 slides

Comparing Means for Several Populations

Comparing Means for Several Populations. When we wish to test for differences in means for only 1 or 2 populations, we use one- or two-sample t inference. Testing for differences in more than 2 populations, or at several different levels (values) of a variable involves a different approach.

487 views • 33 slides

Univariate Regression Variance, Slope & Correlation

Univariate Regression Variance, Slope & Correlation. MSIT3000 Lecture 18. Objectives. Learn how to estimate the disturbance in a regression model. Assess the usefulness of an OLS model through the slope: using hypothesis tests, and confidence intervals

1.08k views • 21 slides

Determining the Sample Size

537 views • 16 slides

EDUC 200C Two sample t-tests

EDUC 200C Two sample t-tests. November 9, 2010. Review : What are the following?. Sampling Distribution Standard Error of the Mean Central Limit Theorem Confidence Interval Standard Error of the difference between the means Pooled variance.

320 views • 12 slides