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
Variance/SD of a Sample
- Because the sample mean is not a perfect estimate of the population mean, the formula for the variance of a sample is slightly different from the formula for the variance of a population:
- s2 is the sample variance, X is a score, X is the sample mean, and N is the number of scores