Frequency Distributions, Normal Curves, and Skew

In this video I explain how a frequency distribution can create a visual representation of our data. I also describe a normal curve or “bell curve” and what it means for mean, median, and mode. Then I consider skewed distributions … Read More

Understanding Significance and P-values

In this video I explain the concept of significance and how it relates to both effect size, sample size, and the law of large numbers. The role of a p-value in describing the likelihood of data is explained with an … Read More

Measures of Variance: Range and Standard Deviation

In this video I describe two more descriptive statistics, both of which are measures of variance: the range and the standard deviation. I explain what the standard deviation tells us about a distribution of scores and how it is calculated. … Read More

Difference between a Theory and a Hypothesis

In this video I describe the difference between a theory and a hypothesis. I also explain how evidence can support or refute a hypothesis but can never prove a theory. Don’t forget to subscribe to the channel to see future … Read More

Measures of Central Tendency

In this video I cover descriptive statistics and three measures of central tendency; the mean, median, and mode. The calculation of each is explained, as well as potential problems, such as the mean’s sensitivity to extreme scores, especially in small … Read More

The Experimental Method

In this video I explain the experimental method and how the combination of manipulation and random assignment can help to eliminate the third variable problem. I also explain why random assignment helps avoid self-selection and bias so that we can … Read More

The Third Variable Problem

In this video I explain the third variable problem in correlational studies, how matched samples and matched pairs can be used to eliminate a possible third variable, and why measurement alone can never truly solve the third variable problem. Don’t … Read More

Real and Illusory Correlations, Scatterplots, and Causation

In this video I explain the dangers of illusory correlations and confirmation bias, correlational studies, patterns of variation, r-values, scatterplots and conclusions about causation. Try guessing the r-value from a scatterplot at www.guessthecorrelation.com Don’t forget to subscribe to the channel … Read More

Populations and Samples

In this video I explain populations and samples, including random sampling, opportunity samples, stratified sampling, and issues related to representativeness. Don’t forget to subscribe to the channel to see future videos! Have questions or topics you’d like to see covered … Read More

Case Studies and the Survey Method

In this video I explain case studies and the survey method, providing explanations of the advantages and disadvantages of each approach, such as applicability, issues with framing, and reporting bias. Don’t forget to subscribe to the channel to see future … Read More