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Organizing Data  Graphical and Tabular Descriptive Techniques 2.
Learning Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],2. Data Statistics Information
Definitions… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2.
We Deal with “2” Types of Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2.
Quantitative/Numerical Data… ,[object Object],[object Object],[object Object],2.
Qualitative/Categorical Data ,[object Object],[object Object],[object Object],[object Object],[object Object],2.
Graphical & Tabular Techniques for Nominal Data… ,[object Object],[object Object],[object Object],[object Object],2.
Nominal Data (Tabular Summary) -  2.
Nominal Data (Frequency) 2. Bar Charts are often used to display  frequencies… Is there a better way to order these? Would Bar Chart  look different if we plotted “relative frequency” rather than “frequency”?
Nominal Data (Relative Frequency) 2. Pie Charts show  relative frequencies…
Frequency Distributions ,[object Object],[object Object]
Example 2.2 ,[object Object]
Example 2.2 Construct a frequency distribution table for these data. Some what None Somewhat Very Very None Very Somewhat Somewhat Very Somewhat Somewhat Very Somewhat None Very None Somewhat Somewhat Very Somewhat Somewhat Very None Somewhat Very very somewhat None Somewhat
Solution 2.2 Table 2.2  Frequency Distribution of Stress on Job Stress on Job Tally Frequency ( f ) Very  Somewhat  None  ||||  |||| ||||  ||||  |||| ||||  | 10 14 6 Sum = 30
Relative Frequency and Percentage Distributions ,[object Object]
Relative Frequency and Percentage Distributions cont. ,[object Object],[object Object]
Example 2.3 ,[object Object]
Solution 2-2 Table 2.3  Relative Frequency and Percentage Distributions of    Stress on Job Stress on Job Relative Frequency Percentage Very Somewhat None 10/30 = .333 14/30 = .467 6/30 = .200 .333(100) = 33.3 .467(100) = 46.7 .200(100) = 20.0 Sum = 1.00 Sum = 100
Graphical Presentation of Qualitative Data ,[object Object],[object Object]
Figure 2.2  Bar graph for the frequency distribution of    Table 2.3
Graphical Presentation of Qualitative Data cont. ,[object Object],[object Object]
Table 2.4  Calculating Angle Sizes for the Pie Chart Stress on Job Relative Frequency Angle Size Very Somewhat None .333 .467 .200 360(.333) = 119.88 360(.467) = 168.12 360(.200) = 72.00 Sum = 1.00 Sum = 360
Figure 2.4  Pie chart for the percentage distribution of      Table 2.5.
ORGANIZING AND GRAPHING QUANTITATIVE DATA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Frequency Distributions Table 2.7  Weekly Earnings of 100 Employees of a Company Variable  Third class Lower limit of the sixth class Upper limit of the sixth class Frequency of the third class  Frequency column Weekly Earnings  (dollars) Number of Employees f 401 to 600 601 to 800 801 to 1000 1001 to 1200 1201 to 1400 1401 to 1600 9 22 39 15 9 6
Frequency Distributions cont. ,[object Object],[object Object]
Essential   Question : ,[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Write the classes starting with lowest score. Classes  Tally Marks Freq. 70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24  ///// ///// // /////-// /////-/////-//// /////-/////-/////-// 5 5 0 2 7 14 17
[object Object],[object Object],[object Object],[object Object],[object Object]
Classes  Class boundaries Tally Marks Freq. x 70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24  69.5 – 78.5 60.5 – 69.5 51.5 – 60.5  42.5 – 51.5 33.5 – 42.5 24.5 – 33.5 15.5 – 24.5 ///// ///// // /////-// /////-/////-//// /////-/////-/////-// 5 5 0  2 7 14  17  74 65 56 47 38 29 20
Example  ,[object Object]
Table 2.9  Home Runs Hit by Major League Baseball    Teams During the 2002 Season  Team Home Runs Team  Home Runs Anaheim Arizona Atlanta Baltimore Boston Chicago Cubs Chicago White Sox Cincinnati Cleveland Colorado Detroit Florida Houston Kansas City Los Angeles 152 165 164 165 177 200 217 169 192 152 124 146 167 140 155 Milwaukee Minnesota Montreal New York Mets New York Yankees Oakland Philadelphia Pittsburgh St. Louis San Diego San Francisco Seattle Tampa Bay Texas Toronto 139 167 162 160 223 205 165 142 175 136 198 152 133 230 187
Solution 2-3 Now we round this approximate width to a convenient number – say, 22.
Solution 2-3 ,[object Object],[object Object],[object Object]
Table 2.10  Frequency Distribution for the Data of    Table 2.9 Total Home Runs Tally f 124 – 145 146 – 167 168 – 189  190 – 211 212 - 233 ||||  | ||||  ||||  ||| |||| |||| ||| 6 13 4 4 3 ∑ f  = 30
Relative Frequency and Percentage Distributions ,[object Object]
Example 2-4 ,[object Object]
Solution 2-4 Table 2.11  Relative Frequency and Percentage Distributions for    Table 2.10 Total Home  Runs Class Boundaries Relative Frequency  Percentage 124 – 145 146 – 167 168 – 189  190 – 211 212 - 233 123.5 to less than 145.5 145.5 to less than 167.5 167.5 to less than 189.5 189.5 to less than 211.5 211.5 to less than 233.5 .200 .433 .133 .133 .100 20.0 43.3 13.3 13.3 10.0 Sum = .999 Sum = 99.9%
Graphing Grouped Data ,[object Object],[object Object]
Figure 2.3  Frequency histogram for Table 2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 Total home runs 15 12 9 6 3 0 Frequency
Figure 2.4  Relative frequency histogram for Table    2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 Total home runs .50 .40 .30 .20 .10 0 Relative Frequency
Graphing Grouped Data cont. ,[object Object],[object Object]
Figure 2.5  Frequency polygon for Table 2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 15 12 9 6 3 0 Frequency
Figure 2.6  Frequency Distribution curve. Frequency x
Example 2-5 ,[object Object]
Example 2-5 Construct a frequency distribution table. Calculate the relative frequencies and percentages for all classes.  22.4 19.7 21.6 15.4 21.1 18.2 27.0 21.9 22.1 25.4 23.7 21.7 23.2 19.6 24.9 19.8 17.6 16.0 21.4 25.5 26.7 17.7 16.1 23.8 20.1 23.4 22.5 22.3 21.9 17.1 23.5 23.7 24.4 21.9 22.5 21.2 28.7 15.6 24.3 29.2 19.9 22.7 26.7 26.1 31.2 23.6 24.2 22.7 22.6 20.8
Solution 2-5
Solution 2-5 Table 2.12  Frequency, Relative Frequency, and Percentage    Distributions of Average Travel Time to Work Class Boundaries f Relative Frequency  Percentage 15 to less than 18 18 to less than 21 21 to less than 24 24 to less than 27 27 to less than 30 30 to less than 33 7 7 23 9 3 1 .14 .14 .46 .18 .06 .02 14 14 46 18 6 2 Σ f   = 50 Sum = 1.00 Sum = 100%
Example 2-6 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Solution 2-6 Table 2.13  Frequency Distribution of Vehicles Owned  Vehicles  Owned Number of  Households ( f ) 0 1 2 3 4 5 2 18 11 4 3 2 Σ f  =  40
Figure 2.7  Bar graph for Table 2.13.
STEM-AND-LEAF DISPLAYS ,[object Object],[object Object]
Example 2-8 ,[object Object],[object Object],75 69 83 52 72 84 80 81 77 96 61 64 65 76 71 79 86 87 71 79 72 87 68 92 93 50 57 95 92 98
Solution 2-8 ,[object Object]
Solution 2-8 ,[object Object]
Figure 2.13  Stem-and-leaf display. Leaf for 75 Leaf for 52 Stems  5  6 7 8 9  2 5
Solution 2-8 ,[object Object]
Figure 2.14  Stem-and-leaf display of test scores. 5  6 7 8 9  2  0  7 5  9  1  8  4 5  9  1  2  6  9  7  1  2 0  7  1  6  3  4  7 6  3  5  2  2  8
Figure 2.15  Ranked stem-and-leaf display of test    scores. 5  6 7 8 9  0  2  7 1  4  5  8  9 1  1  2  2  5  6  7  9  9 0  1  3  4  6  7  7 2  2  3  5  6  8
Example 2-9 ,[object Object],[object Object],880 1210 1151 1081 985 630 721 1231 1175 1075 932 952 1023 850 1100 775 825 1140 1235 1000 750 750 915 1140 965 1191 1370 960 1035 1280
Solution 2-9 Figure 2.16   Stem-and-leaf display of rents. 6 7 8 9 10 11 12 13  30 75  50  21  50 80  25  50 32  52  15  60  85  65 23  81  35  75  00 91  51  40  75  40  00 10  31  35  80 70
Example 2-10 ,[object Object]
Example 2-10  ,[object Object],0 1 2 3 4 5 6 7 8 6 1  7  9 2  6 2  4  7  8 1  5  6  9  9 3  6  8 2  4  4  5  7 5  6
Solution 2-10 Figure 2.17   Grouped stem-and-leaf display. 0 – 2  3 – 5  6 – 8  6  *  1  7  9  *  2  6 2  4  7  8  *  1  5  6  9  9  *  3  6  8 2  4  4  5  7  *  *  5  6
Scatter Diagram… ,[object Object],[object Object],[object Object],[object Object],[object Object],2.
Scatter Diagram… ,[object Object],2.
Patterns of Scatter Diagrams… ,[object Object],2. Positive Linear Relationship Negative Linear Relationship Weak or Non-Linear Relationship

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Organizing Data Graphical and Tabular Techniques

  • 1. Organizing Data Graphical and Tabular Descriptive Techniques 2.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Nominal Data (Tabular Summary) - 2.
  • 10. Nominal Data (Frequency) 2. Bar Charts are often used to display frequencies… Is there a better way to order these? Would Bar Chart look different if we plotted “relative frequency” rather than “frequency”?
  • 11. Nominal Data (Relative Frequency) 2. Pie Charts show relative frequencies…
  • 12.
  • 13.
  • 14. Example 2.2 Construct a frequency distribution table for these data. Some what None Somewhat Very Very None Very Somewhat Somewhat Very Somewhat Somewhat Very Somewhat None Very None Somewhat Somewhat Very Somewhat Somewhat Very None Somewhat Very very somewhat None Somewhat
  • 15. Solution 2.2 Table 2.2 Frequency Distribution of Stress on Job Stress on Job Tally Frequency ( f ) Very Somewhat None |||| |||| |||| |||| |||| |||| | 10 14 6 Sum = 30
  • 16.
  • 17.
  • 18.
  • 19. Solution 2-2 Table 2.3 Relative Frequency and Percentage Distributions of Stress on Job Stress on Job Relative Frequency Percentage Very Somewhat None 10/30 = .333 14/30 = .467 6/30 = .200 .333(100) = 33.3 .467(100) = 46.7 .200(100) = 20.0 Sum = 1.00 Sum = 100
  • 20.
  • 21. Figure 2.2 Bar graph for the frequency distribution of Table 2.3
  • 22.
  • 23. Table 2.4 Calculating Angle Sizes for the Pie Chart Stress on Job Relative Frequency Angle Size Very Somewhat None .333 .467 .200 360(.333) = 119.88 360(.467) = 168.12 360(.200) = 72.00 Sum = 1.00 Sum = 360
  • 24. Figure 2.4 Pie chart for the percentage distribution of Table 2.5.
  • 25.
  • 26. Frequency Distributions Table 2.7 Weekly Earnings of 100 Employees of a Company Variable Third class Lower limit of the sixth class Upper limit of the sixth class Frequency of the third class Frequency column Weekly Earnings (dollars) Number of Employees f 401 to 600 601 to 800 801 to 1000 1001 to 1200 1201 to 1400 1401 to 1600 9 22 39 15 9 6
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41. Write the classes starting with lowest score. Classes Tally Marks Freq. 70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24 ///// ///// // /////-// /////-/////-//// /////-/////-/////-// 5 5 0 2 7 14 17
  • 42.
  • 43. Classes Class boundaries Tally Marks Freq. x 70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24 69.5 – 78.5 60.5 – 69.5 51.5 – 60.5 42.5 – 51.5 33.5 – 42.5 24.5 – 33.5 15.5 – 24.5 ///// ///// // /////-// /////-/////-//// /////-/////-/////-// 5 5 0 2 7 14 17 74 65 56 47 38 29 20
  • 44.
  • 45. Table 2.9 Home Runs Hit by Major League Baseball Teams During the 2002 Season Team Home Runs Team Home Runs Anaheim Arizona Atlanta Baltimore Boston Chicago Cubs Chicago White Sox Cincinnati Cleveland Colorado Detroit Florida Houston Kansas City Los Angeles 152 165 164 165 177 200 217 169 192 152 124 146 167 140 155 Milwaukee Minnesota Montreal New York Mets New York Yankees Oakland Philadelphia Pittsburgh St. Louis San Diego San Francisco Seattle Tampa Bay Texas Toronto 139 167 162 160 223 205 165 142 175 136 198 152 133 230 187
  • 46. Solution 2-3 Now we round this approximate width to a convenient number – say, 22.
  • 47.
  • 48. Table 2.10 Frequency Distribution for the Data of Table 2.9 Total Home Runs Tally f 124 – 145 146 – 167 168 – 189 190 – 211 212 - 233 |||| | |||| |||| ||| |||| |||| ||| 6 13 4 4 3 ∑ f = 30
  • 49.
  • 50.
  • 51. Solution 2-4 Table 2.11 Relative Frequency and Percentage Distributions for Table 2.10 Total Home Runs Class Boundaries Relative Frequency Percentage 124 – 145 146 – 167 168 – 189 190 – 211 212 - 233 123.5 to less than 145.5 145.5 to less than 167.5 167.5 to less than 189.5 189.5 to less than 211.5 211.5 to less than 233.5 .200 .433 .133 .133 .100 20.0 43.3 13.3 13.3 10.0 Sum = .999 Sum = 99.9%
  • 52.
  • 53. Figure 2.3 Frequency histogram for Table 2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 Total home runs 15 12 9 6 3 0 Frequency
  • 54. Figure 2.4 Relative frequency histogram for Table 2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 Total home runs .50 .40 .30 .20 .10 0 Relative Frequency
  • 55.
  • 56. Figure 2.5 Frequency polygon for Table 2.10. 124 - 145 146 - 167 168 - 189 190 - 211 212 - 233 15 12 9 6 3 0 Frequency
  • 57. Figure 2.6 Frequency Distribution curve. Frequency x
  • 58.
  • 59. Example 2-5 Construct a frequency distribution table. Calculate the relative frequencies and percentages for all classes. 22.4 19.7 21.6 15.4 21.1 18.2 27.0 21.9 22.1 25.4 23.7 21.7 23.2 19.6 24.9 19.8 17.6 16.0 21.4 25.5 26.7 17.7 16.1 23.8 20.1 23.4 22.5 22.3 21.9 17.1 23.5 23.7 24.4 21.9 22.5 21.2 28.7 15.6 24.3 29.2 19.9 22.7 26.7 26.1 31.2 23.6 24.2 22.7 22.6 20.8
  • 61. Solution 2-5 Table 2.12 Frequency, Relative Frequency, and Percentage Distributions of Average Travel Time to Work Class Boundaries f Relative Frequency Percentage 15 to less than 18 18 to less than 21 21 to less than 24 24 to less than 27 27 to less than 30 30 to less than 33 7 7 23 9 3 1 .14 .14 .46 .18 .06 .02 14 14 46 18 6 2 Σ f = 50 Sum = 1.00 Sum = 100%
  • 62.
  • 63. Solution 2-6 Table 2.13 Frequency Distribution of Vehicles Owned Vehicles Owned Number of Households ( f ) 0 1 2 3 4 5 2 18 11 4 3 2 Σ f = 40
  • 64. Figure 2.7 Bar graph for Table 2.13.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69. Figure 2.13 Stem-and-leaf display. Leaf for 75 Leaf for 52 Stems 5 6 7 8 9 2 5
  • 70.
  • 71. Figure 2.14 Stem-and-leaf display of test scores. 5 6 7 8 9 2 0 7 5 9 1 8 4 5 9 1 2 6 9 7 1 2 0 7 1 6 3 4 7 6 3 5 2 2 8
  • 72. Figure 2.15 Ranked stem-and-leaf display of test scores. 5 6 7 8 9 0 2 7 1 4 5 8 9 1 1 2 2 5 6 7 9 9 0 1 3 4 6 7 7 2 2 3 5 6 8
  • 73.
  • 74. Solution 2-9 Figure 2.16 Stem-and-leaf display of rents. 6 7 8 9 10 11 12 13 30 75 50 21 50 80 25 50 32 52 15 60 85 65 23 81 35 75 00 91 51 40 75 40 00 10 31 35 80 70
  • 75.
  • 76.
  • 77. Solution 2-10 Figure 2.17 Grouped stem-and-leaf display. 0 – 2 3 – 5 6 – 8 6 * 1 7 9 * 2 6 2 4 7 8 * 1 5 6 9 9 * 3 6 8 2 4 4 5 7 * * 5 6
  • 78.
  • 79.
  • 80.

Notas del editor

  1. Keller: Stats for Mgmt & Econ, 7th Ed February 12, 2012 Copyright © 2006 Brooks/Cole, a division of Thomson Learning, Inc.