3B-1 Chapter 3B Describing Data Visually (Part 2) Scatter Plots Tables Pie Charts Effective Excel Charts Maps and Pictograms Deceptive Graphs McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc. All rights reserved. 3B-3 Scatter Plots • A scatter plot shows n pairs of observations as dots (or some other symbol) on an XY graph. • A starting point for bivariate data analysis. • Allows observations about the relationship between two variables. • Answers the question: Is there an association between the two variables and if so, what kind of association? 3B-4 Scatter Plots Example: Birth Rates and Life Expectancy • Consider the following data: Nation Birth Rate Life Expectancy Afghanistan 41.03 46.60 Canada 11.09 79.70 Finland 10.60 77.80 Guatemala 34.17 66.90 Japan 10.03 80.90 Mexico 22.36 72.00 Pakistan 30.40 62.70 Spain 9.29 79.10 United States 14.10 77.40 3B-5 Scatter Plots Example: Birth Rates and Life Expectancy • Here is a scatter plot with life expectancy on the X-axis and birth rates on the Y-axis. • Is there an association between the two variables? • Is there a causeand-effect relationship? 3B-6 Scatter Plots Example: Aircraft Fuel Consumption • Consider five observations on flight time and fuel consumption for a twin-engine Piper Cheyenne aircraft. • A causal relationship is assumed since a longer flight would consume more fuel. Trip Leg Flight Time (hours) Fuel Used (pounds) 1 2.3 145 2 4.2 258 3 3.6 219 4 4.7 276 5 4.9 283 3B-7 Scatter Plots Example: Aircraft Fuel Consumption • Here is the scatter plot with flight time on the X-axis and fuel use on the Y-axis. • Is there an association between variables? 3B-8 Scatter Plots Degree of Association Very strong association Strong association Moderate association Little or no association 3B-9 Scatter Plots Policy Making • Scatter plots can be helpful when policy decisions need to be made. • For example, compare traffic fatalities resulting from crashes per million vehicles sold between 1995 and 1999. • Do SUV’s create a greater risk to the drivers of both cars? 3B-10 3B-11 Tables • Tables are the simplest form of data display. • A compound table is a table that contains time series data down the columns and variables across the rows. Example: School Expenditures • Arrangement of data is in rows and columns to enhance meaning. • The data can be viewed by focusing on the time pattern (down the columns) or by comparing the variables (across the rows). 3B-12 Tables Example: School Expenditures Elementary and Secondary Year All Schools Colleges and Universities Total Public Private Total Public Private 1960 142.2 99.6 93.0 6.6 42.6 23.3 19.3 1970 317.3 200.2 188.6 11.6 117.2 75.2 41.9 1980 373.6 232.7 216.4 16.2 140.9 93.4 47.4 1990 526.1 318.5 293.4 25.1 207.6 132.9 74.7 2000 691.9 418.2 387.8 30.3 273.8 168.8 105.0 Source: U.S. Census Bureau, Statistical Abstract of the United States: 2002, p. 133. Note: All figures are in billions of constant 2000/2001 dollars. • Units of measure are stated in the footnote. • Note merged headings to group columns. 3B-13 Pie Charts An Oft-Abused Chart • A pie chart can only convey a general idea of the data. • Pie charts should be used to portray data which sum to a total (e.g., percent market shares). • A pie chart should only have a few (i.e., 2 or 3) slices. • Each slice should be labeled with data values or percents. 3B-14 Pie Charts An Oft-Abused Chart • Consider the following charts used to illustrate an article from the Wall Street Journal. Which type is better? 2-D Pie Chart Bar Chart 3B-15 Pie Charts Pie Chart Options • Exploded and 3-D pie charts add strong visual impact but slices are hard to assess. Exploded Pie Chart Exploded 3-D Pie Chart 3B-16 Pie Charts Common Errors in Pie Chart Usage • Pie charts can only convey a general idea of the data values. • Pie charts are ineffective when they have too many slices. • Pie chart data must represent parts of a whole (e.g., percent market share). 3B-17 Deceptive Graphs Error 1: Nonzero Origin • A nonzero origin will exaggerate the trend. Deceptive Correct