1. Chapter Two Organizing and Summarizing Data
2.1
Organizing Qualitative Data

2. When data is collected from a survey or designed experiment, they must be organized into a manageable form. Data that is not organized is referred to as raw data.
Ways to Organize Data
Tables
Graphs
Numerical Summaries (Chapter 3)

3. A frequency distribution lists the number of occurrences for each category of data.

4. Construct a frequency distribution of the color of plain M&Ms.
EXAMPLE Organizing Qualitative Data into a Frequency Distribution
The data on the next slide represent the color of M&Ms in a bag of plain M&Ms.
Construct a frequency distribution of the color of plain M&Ms.

5. Yellow
Orange
Brown
Green
Blue
Red

6. Frequency table

7. The relative frequency is the proportion or percent of observations within a category and is found using the formula:
A relative frequency distribution lists the relative frequency of each category of data.

8. EXAMPLE. Constructing a Relative Frequency Distribution
EXAMPLE Constructing a Relative Frequency Distribution of Qualitative Data
Construct a relative frequency distribution for the M&M data provided earlier.

9. A bar graph is constructed by labeling each category of data on a horizontal axis and the frequency or relative frequency of the category on the vertical axis. A rectangle of equal width is drawn for each category whose height is equal to the category's frequency or relative frequency.

10. Use the M&M data to construct a frequency bar graph and
EXAMPLE Constructing a Frequency and Relative Frequency Bar Graph
Use the M&M data to construct
a frequency bar graph and
a relative frequency bar graph.

13. A Pareto chart is a bar graph where the bars are drawn in decreasing order of frequency or relative frequency.

14. Pareto Chart

15. EXAMPLE Comparing Two Data Sets
The following data represent the consumption of energy (in quadrillion British thermal units) for the years 1980 and 1999.
(a) Draw a side-by-side relative frequency bar graph of the data.
(b) Is the make-up of energy consumption changing?

16. Total Consumption in 1980: 75.98 quadrillion Btu

17. (a)
(b) Consumption of petroleum and natural gas has risen from 1980 to 1999, but they represent of lower percentage of total consumption.

18. A pie chart is a circle divided into sectors
A pie chart is a circle divided into sectors. Each sector represents a category of data. The area of each sector is proportional to the frequency of the category.

19. EXAMPLE Constructing a Pie Chart
The following data represent the consumption of energy (in quadrillion Btus) in Construct a pie chart of the data.

20. The degree measure of each sector of the pie is found by multiplying the relative frequency by 360 degrees. For example, the sector corresponding to “Petroleum” has a degree measure of 360(0.4055) = 145 degrees.