8E | Summarizing Data Study Guide

Unit 2: Statistics • Lesson 2.8 • Standard: 6.DS.6

Key Vocabulary

Summarize — to describe the important features of a data set in a short way. (resumir)
Center — the middle or typical value of a data set (mean or median). (centro)
Spread — how far apart the data values are (range or MAD). (dispersión)
Shape — the overall pattern of the data (symmetric, skewed left, or skewed right). (forma)
Cluster — a group of data points that are close together. (grupo)
Gap — an empty space in the data where no values appear. (brecha)
Peak — the highest point or most frequent value in a data display. (pico)

Step-by-Step: How to Summarize Data

  1. 1 Describe the CENTER — What is the mean? What is the median? This tells you the "typical" value.
  2. 2 Describe the SPREAD — What is the range? What is the MAD? This tells you how varied the data is.
  3. 3 Describe the SHAPE — Is the data symmetric (balanced on both sides), skewed left (tail goes left), or skewed right (tail goes right)?
  4. 4 Note any special features — Are there clusters, gaps, peaks, or outliers?

Shape Examples

Symmetric
Data is balanced on both sides of the center. Mean and median are close together.
      *
    * * *
  * * * * *
  |---|---|---|
  Low Mid High
Skewed Right
Most data is on the left, with a long tail to the right. Mean > Median.
  *
  * *
  * * *
  * * * *   *
  |---|---|---|
  Low Mid High
Skewed Left
Most data is on the right, with a long tail to the left. Mean < Median.
          *
        * *
      * * *
  *   * * *
  |---|---|---|
  Low Mid High

Watch Out!

Practice Problems

1. Which measure tells you the "typical" or middle value of a data set?
Type "center" or "spread".

2. Range and MAD describe the _____ of a data set (how varied the data is).
Type "center" or "spread".

3. If most data is on the left side with a long tail stretching right, the data is:
Type "symmetric", "skewed right", or "skewed left".

4. A data set has values: 10, 12, 11, 50, 13, 12. The 50 is much bigger than the others. What is this value called?