KIN 401: Lecture 1, Part 5
Table of Contents
- Lesson 1, Part 5: Making Numbers Meaningful Variation
- Measures of Variation (1)
- Measures of Variation (2)
- The Range
- When to Use the Range
- Variance
- What Does the Variance Formula Mean? (1)
- What Does the Variance Formula Mean? (2)
- What Does the Variance Formula Mean? (3)
- Standard Deviation
- Standard Deviation vs. Variance
- Variance/SD of a Sample
- Why N - 1?
- SD of a Sample
- Computational Formula Example
- Variance vs. Standard Deviation
- Interpretation of Standard Deviation
- Percent of Values Within 1 Standard Deviation
- Percent of Values Within 2 Standard Deviation
- Percent of Values Within 3 Standard Deviation
- Interquartile Range
- Calculating the Interquartile Range for High Temperatures
- Outliers
- Outliers and Interquartile Range
- Comparison of Range, Standard Deviation, and Interquartile Range
- Coefficient of Variation (1)
- Coefficient of Variation (2)
- Coefficient of Variation (3)
- Coefficient of Variation (4)
- Coefficient of Variation (5)
- Coefficient of Variation (6)
- Relationship Between Measures and Shape of Distributions
Text and Images from Slide
Outliers
- Outliers are values in the data set which are either suspiciously large or small.
- Such values may be the result of an error—the researcher measured incorrectly or perhaps the results were typed incorrectly.
- Outliers may be good data. There is always the chance that you have one basketball player in a set of ordinary people.
- The 7-foot height is not an error, but it is still unusually large.