Describing Distributions Numerically

Describing Distributions Numerically

Author: Al Greene

This learning packet should:
• Present the difference between mean and median, and when it’s appropriate to use one or the other to describe the center of a distribution
• Discuss how observing the mean and median can tell if a distribution of data is either symmetric or skewed without even looking at the actual distribution
• Discuss range and how it find it from the minimum value and maximum value of a data set
• Introduce Interquartile Range (IQR) along with how to calculate/locate the 25th and 75th percentiles

This packet has a powerpoint that describes how to measure the center of a distributions, which measures of center are appropriate, and how to describe the spread of a data set.There are also some examples of describing the center and spread of a data set.

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What you will see in this packet

Here are the terms you will see in this packet:

  • Mean
  • Median
  • Minimum
  • Maximum
  • Range
  • Midrange
  • IQR
  • Percentiles

Source: Greene

Describing Distributions Numerically

This packet discusses all the ways to describe a distribution, including mean, median, range, midrange, and interquartile range.

Source: Greene

Range and Interquartile Range

This video shows how to find the quartiles of a data set, the range, and the interquartile range.