Intro to Descriptive Statistics

Lesson 1 : Intro to Research Methods

You will be introduced to several statistical study methods and learn the positives and negatives of each.

Lesson 2 : Visualizing Data

You will learn how to take your data and display it to the world. You will learn to create and interpret histograms, bar charts, and frequency plots.

Lesson 3 : Central Tendency

In this lesson you will learn to compute and interpret the 3 measures of center for distributions: the mean, median, and mode.

Lesson 4 : Variability

You will learn how to quantify the spread of data using the range and standard deviation. You will also learn how to identify outliers in data sets using the concept of the interquartile range.

Lesson 5 : Standardizing

You will learn how to convert distributions into the standard normal distribution using the Z-score. You will also learn how to compute proportions using standardized distributions.

Lesson 6 : Normal Distribution

You will learn how to use normalized distributions to compute probabilities. You will also learn how to use the Z-table to look up the proportions of observations above, below, or in between values.

Lesson 7 : Sampling Distributions

You will learn how to apply the concepts of probability and normalization to sample data sets.

• Sean Laraway - Sean Laraway has taught at San Jose State University since 2004. He completed a post-doctoral fellowship in Psychopharmacology. He has taught statistics at the undergraduate and graduate levels since 1998. He earned his MA and PhD in Behavior Analysis from Western Michigan University in 2003.
• Ronald Rogers - Ron Rogers has been a professor of psychology at San Jose State University since 1999. Dr. Rogers has developed and taught statistics and research methods courses at both the undergraduate and graduate level. He earned his M.A. and Ph.D. in Behavioral Neuroscience from Rutgers University in 1995.