C. Mandell - Research2: Statistics
Fall, 2007
Study Guide 2
Comparing 2 means - Chaps 7 - 10
Chapter 7
- How can we inspect two independent samples using stem-leaf plots?
- What is the pooled standard deviation?
- What is a sampling distribution for the difference between two means?
- How does the pooled standard deviation related to the standard deviations of the two independent samples?
- What is the standard error of the difference between two means?
- Explain the difference between independent samples and dependent samples (repeated measure designs).
- Which type of statistical procedure (independent or dependent) would you use with a between-groups design, a natural experiment, a matched design, a within-group design.
- What do we mean by difference scores? When do we use them?
- What is a sampling distribution for the mean of the differences?
- How can we compute the standard error of the mean of the differences?
Chapter8 - Estimating confidence in a mean
- How can we consturc a confidence interval for a single sample?
- How can we construct a confidence interval for the difference between two means?
- What does it tell us if the confidence interval contains a 0?
- What is effect size?
- How do we compute Hedges' g? (don't worry about Cohen's d)
- What do we consider a small effect? Medium effect? Large effect?
Chapter 9: Estimating using Null Hypothesis Significance Testing
- What does hypothesis testing tell us?
- Distinguish between null and alternative hypotheses
- What do we mean by "rejection" regions, "rejection" criteria?
- What is the distinction between directional and non-directional hypotheses?
- What do we mean by the "alpha level?"
- What is a t-test for independent groups?
- What do we mean by t-observed? T-critical?
- What are directional and non-directional t-tests?
- How does sample size effect significance level?
- How do we conduct a t-test for a dependent samples (repeated measure or matched groups) design
Chapter 10 - Interpreting and announcing results
- Distinguish between significance and causality
- Distinguish between significance and importance
- How should a non-significant finding be interpreted
- What are Type I and Type II errors
- What is statistical power?