1 / 12

Chapter 5 Measures of Variability

Chapter 5 Measures of Variability. The importance of measuring variability IQV (index of qualitative variation) The range IQR (inter-quartile range) Variance Standard deviation Considerations for choosing a measure of variation. The Importance of Measuring Variability.

jadon
Télécharger la présentation

Chapter 5 Measures of Variability

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 5Measures of Variability • The importance of measuring variability • IQV (index of qualitative variation) • The range • IQR (inter-quartile range) • Variance • Standard deviation • Considerations for choosing a measure of variation

  2. The Importance of Measuring Variability • - Numbers that describe what is typical or average (central) in a distribution. - Numbers that describe diversity or variability in the distribution. • Central tendency • Measures of variability These two types of measures together help us to sum up a distribution of scores without looking at each and every score. Measures of central tendency tell you about typical (or central) scores. Measures of variation reveal how far from the typical or central that the distribution tends to vary.

  3. Index of Qualitative Variation • IQV – A measure of variability for nominal variables. It is based on the ratio of the total number of differenced in the distribution to the maximum number of possible differences within the same distribution. where: K = number of categories in the variable N = total number of cases

  4. Understanding the Index of Qualitative Variation • The IQV is a single number that expresses the diversity of a distribution. • The IQV ranges from 0 to 1 • An IQV of 0 would indicate that the distribution has NO diversity at all. • An IQV of 1 would indicate that the distribution is maximally diverse.

  5. IQV in Real Life: Diversity in the U.S. Racial and Ethnic Diversity as Measured by the IQV for the Fifty States, 1998

  6. The Range Range = highest score - lowest score • Range – A measure of variation in interval-ratio variables. It is the difference between the highest (maximum) and the lowest (minimum) scores in the distribution.

  7. Inter-quartile Range • Inter-quartile range (IQR) – The width of the middle 50 percent of the distribution. It is defined as the difference between the lower and upper quartiles (Q1 and Q3.) • Iqr = q3 – q1

  8. The Box Plot • The Box Plot is a graphic device that visually presents the following elements: the range, the inter-quartile range, the median, the quartiles, the minimum (lowest value,) and the maximum (highest value.)

  9. Variance • Variance – A measure of variation for interval-ratio variables; it is the average of the squared deviations from the mean

  10. Standard Deviation • Standard Deviation – A measure of variation for interval-ratio variables; it is equal to the square root of the variance.

  11. Find the Mean and the Standard Deviation

  12. Considerations for Choosing a Measure of Variability • For nominal variables, you can only use IQV (index of qualitative variation). • For ordinal variables, you can calculate the IQV or the IQR (inter-quartile range.) Though, the IQR provides more information about the variable. • For interval-ratio variables, you can use IQV, IQR, or variance/standard deviation. The standard deviation (also variance) provides the most information, since it uses all of the values in the distribution in its calculation.

More Related