1. Frequency Polygons

2. Graphs of Frequency Distributions Frequency Polygon A line graph that emphasizes the continuous change in frequencies. Use the same horizontal and vertical scales that were used in the histogram labeled with class midpoints. The graph should begin and end on the horizontal axis Extend the left side one class width before the first class midpoint Extend the right side one class width after the last class midpoint data values frequency 2 of 149 © 2012 Pearson Education, Inc. All rights reserved.

3. Do Now Use the following data set to find the (a) range, (b) class width, (c) Lower class limits and (d) Upper class limits. Newspaper Reading Times Number of classes: 5 7391392582202 18230735121586 529011391615

4. Example: Frequency Polygon Construct a frequency polygon for the GPS navigators frequency distribution. ClassMidpointFrequency, f 59–114 86.55 115–170142.58 171–226198.56 227–282254.55 283–338310.52 339–394366.51 395–450422.53 4 of 149 © 2012 Pearson Education, Inc. All rights reserved.

5. Solution: Frequency Polygon You can see that the frequency of GPS navigators increases up to $142.50 and then decreases. The graph should begin and end on the horizontal axis, so extend the left side to one class width before the first class midpoint and extend the right side to one class width after the last class midpoint. 5 of 149 © 2012 Pearson Education, Inc. All rights reserved.

6. Your turn: Use the frequency distribution below to construct a frequency polygon that represents the ages of the 50 richest people. Describe any patterns.

7. Do Now Create a Frequency Polygon for the following set of data: ClassFrequency, ƒ 20-3019 31-4143 42-5268 53-6369 64-7474 75-8568 86-9624

8. Example: Use the data to construct (a) an expanded frequency distribution, (b) a frequency histogram and (c) a frequency polygon Pulse Rates Number of classes: 6 Data Set: Pulse rates of students in a class 681059580901007570849810270 658890757894110120958076108

9. Graphing Quantitative Data Sets Stem-and-leaf plot Each number is separated into a stem and a leaf. Similar to a histogram. Still contains original data values. Should always include a key to identify the values of the data. Data: 21, 25, 25, 26, 27, 28, 30, 36, 36, 45 26 21 5 5 6 7 8 30 6 6 45 9 of 149 © 2012 Pearson Education, Inc. All rights reserved.

10. Example: Constructing a Stem-and-Leaf Plot The following are the numbers of text messages sent last week by the cellular phone users on one floor of a college dormitory. Display the data in a stem-and-leaf plot. 155159 144 129 105 145 126 116 130 114 122 112 112 142 126 118118 108 122 121 109 140 126 119 113 117 118 109 109 119 139139 122 78 133 126 123 145 121 134 124 119 132 133 124 129 112 126 148 147 10 of 149 © 2012 Pearson Education, Inc. All rights reserved.

11. Solution: Constructing a Stem-and-Leaf Plot The data entries go from a low of 78 to a high of 159. Use the rightmost digit as the leaf.  For instance, 78 = 7 | 8 and 159 = 15 | 9 List the stems, 7 to 15, to the left of a vertical line. For each data entry, list a leaf to the right of its stem. 155159 144 129 105 145 126 116 130 114 122 112 112 142 126 118118 108 122 121 109 140 126 119 113 117 118 109 109 119 139139 122 78 133 126 123 145 121 134 124 119 132 133 124 129 112 126 148 147 11 of 149 © 2012 Pearson Education, Inc. All rights reserved.

12. Solution: Constructing a Stem-and-Leaf Plot Include a key to identify the values of the data. From the display, you can conclude that more than 50% of the cellular phone users sent between 110 and 130 text messages. 12 of 149 © 2012 Pearson Education, Inc. All rights reserved.

13. Your turn Use a stem-and-leaf plot to display the data. The data represent the scores of a biology class on a midterm exam. 758590808767828895917380 839294687591799587769185

14. Graphing Quantitative Data Sets Dot plot Each data entry is plotted, using a point, above a horizontal axis. Allows you to see how data are distributed, determine specific data entries, and identify unusual data values. Data: 21, 25, 25, 26, 27, 28, 30, 36, 36, 45 26 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 14 of 149 © 2012 Pearson Education, Inc. All rights reserved.

15. Example: Constructing a Dot Plot Use a dot plot organize the text messaging data. So that each data entry is included in the dot plot, the horizontal axis should include numbers between 70 and 160. To represent a data entry, plot a point above the entry's position on the axis. If an entry is repeated, plot another point above the previous point. 155159 144 129 105 145 126 116 130 114 122 112 112 142 126 118118 108 122 121 109 140 126 119 113 117 118 109 109 119 139139 122 78 133 126 123 145 121 134 124 119 132 133 124 129 112 126 148 147 15 of 149 © 2012 Pearson Education, Inc. All rights reserved.

16. Solution: Constructing a Dot Plot From the dot plot, you can see that most values cluster between 105 and 148 and the value that occurs the most is 126. You can also see that 78 is an unusual data value. 155159 144 129 105 145 126 116 130 114 122 112 112 142 126 118118 108 122 121 109 140 126 119 113 117 118 109 109 119 139139 122 78 133 126 123 145 121 134 124 119 132 133 124 129 112 126 148 147 16 of 149 © 2012 Pearson Education, Inc. All rights reserved.

17. Your Turn Make a dot plot display of the given data set. Highest Paid CEO’s 647455 62635067515950 5250596264576149636260 555648586460 57

18. Graphing Paired Data Sets Paired Data Sets Each entry in one data set corresponds to one entry in a second data set. Graph using a scatter plot. The ordered pairs are graphed as points in a coordinate plane. Used to show the relationship between two quantitative variables. x y 18 of 149 © 2012 Pearson Education, Inc. All rights reserved.

19. Example: Interpreting a Scatter Plot The British statistician Ronald Fisher introduced a famous data set called Fisher's Iris data set. This data set describes various physical characteristics, such as petal length and petal width (in millimeters), for three species of iris. The petal lengths form the first data set and the petal widths form the second data set. (Source: Fisher, R. A., 1936) 19 of 149 © 2012 Pearson Education, Inc. All rights reserved.

20. Example: Interpreting a Scatter Plot As the petal length increases, what tends to happen to the petal width? Each point in the scatter plot represents the petal length and petal width of one flower. 20 of 149 © 2012 Pearson Education, Inc. All rights reserved.

21. Solution: Interpreting a Scatter Plot Interpretation From the scatter plot, you can see that as the petal length increases, the petal width also tends to increase. 21 of 149 © 2012 Pearson Education, Inc. All rights reserved.

22. Example Scatter Plot The lengths of employment and the salaries of 10 employees are listed in the table below. Graph the data using a scatter plot. What can you conclude? Length of employment (in years) Salary (in dollars) 532,000 432,500 840,000 427,350 225,000 1043,000 741,650 639,225 945,100 328,000

23. Your turn Use a scatter plot to display the data shown in the table. The data represent the number of hours worked and the hourly wages (in dollars) for a sample of 12 production workers. Describe any trends shown. HoursHourly wage 3312.16 379.98 3410.79 4011.71 3511.8 3311.51 4013.65 3312.05 2810.54 4510.33 3711.57 2810.17

24. Your turn Solution Example Use a scatter plot to display the data shown in the table. The data represent the number of hours worked and the hourly wages (in dollars) for a sample of 12 production workers. Describe any trends shown.

25. Graphing Paired Data Sets Time Series Data set is composed of quantitative entries taken at regular intervals over a period of time. e.g., The amount of precipitation measured each day for one month. Use a time series chart to graph. Data on Vertical Axis Time on Horizontal Axis. time Quantitative data 25 of 149 © 2012 Pearson Education, Inc. All rights reserved.

26. Example: Constructing a Time Series Chart The table lists the number of cellular telephone subscribers (in millions) for the years 1998 through 2008. Construct a time series chart for the number of cellular subscribers. (Source: Cellular Telecommunication & Internet Association) 26 of 149 © 2012 Pearson Education, Inc. All rights reserved.

27. Solution: Constructing a Time Series Chart Let the horizontal axis represent the years. Let the vertical axis represent the number of subscribers (in millions). Plot the paired data and connect them with line segments. Describe any trends. 27 of 149 © 2012 Pearson Education, Inc. All rights reserved.

28. Solution: Constructing a Time Series Chart The graph shows that the number of subscribers has been increasing since 1998, with greater increases recently. 28 of 149 © 2012 Pearson Education, Inc. All rights reserved.

29. Your Turn Use the table from the previous example to construct a time series chart for subscribers’ average monthly bill (in dollars) for the years 1998 through 2008. Describe any trends.

30. Example Solution We can see that the average monthly bill rose gradually from 1998 to 2004 and then hovered around $50 after.