Click on the following links - please note these will open in a new window
Chapter 7: Probability and Sampling Distributions
Video describes sampling distribution and statistical inference. Illustrates sampling distribution of the sample mean in a simple example (7:51).
Video describes important properties of the sampling distribution of the mean and variance (5:26).
Describes why the sample variance is an unbiased estimator of the population variance (6:57).
This provides a video on central limit theorem, an article describing the concept, and a simulation to demonstrate the effect of sample size on the shape of the sampling distribution of the mean (:27).
Podcast describes that meta-analysis of scientific data show that top psychology research studies tend to make conclusions about human nature based on samples taken solely from Western undergraduate students (2:18).
Describes the Stanford Prison Experiment and the flaws in the experiment (10:15).
Conversation about replication of social psychology studies and what counts as “admissible evidence” in science (42:12).
An NPR article applies the issue of trusting ‘scientific claims’ by discussing that the conclusions drawn from scientific studies almost always involve generalizing from a sample to a population. Describes what a sample is.
This article compares sampling with and without replacement using an example to illustrate the differences.
This article describes factors that impact sampling error and factors that decrease standard error.
The table provides some of the most common statistics (written-out and abbreviated forms) and how to use them following APA-style.
Provides examples of how to organize statistics into tables and figures.