It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Contents: Outline - Central Tendency and Variability: Lecture 2 (0:48); Measure of Central Tendency: Mean (5:37); Measure of Central Tendency: Median (3:21); Measures of Central Tendency: Mode (2:29); Compare Measures of Center (4:36); Measures of Variability: Variance (10:02); Measures of Variability: Standard Deviation (2:31)
Beginning with an explanation of the difference between "qualitative" and "quantitative" data, this program goes on to explain various ways of presenting data, including Dot Plots, Bar Charts, and Histograms. The program also explains Summary Measures, Characteristic Values, and how to arrive at the Mode, Median, and Mean, with a discussion of their individual drawbacks and advantages. The program goes on to discuss handling the Spread of Distribution, and explains techniques for measuring Spread, including Quartiles, Inter-quartile Range, and Standard Deviation, and concludes with modeling using Normal Distribution.
The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set. The median is the middle value when a data set is ordered from least to greatest. The mode is the number that occurs most often in a data set. Created by Sal Khan.
Robinson, N. W., & Castle Bell, G. (2014). Rating Slam Dunks to Visualize the Mean, Median, Mode, Range, and Standard Deviation. Communication Teacher, 28(4), 218–223. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=eric&AN=EJ1035370&site=eds-live