Section 2-2 More graphs and Displays Objective: SWBAT Graph and interpret quantitative Data sets using stem and leaf plots And dot plots. Also be able to graph and interpret quantitative data sets using pie charts and Pareto charts. How to graph and interpret paired data sets using scatter plots, and time series charts.
Section 2-2 More graphs and Displays. Objective: SWBAT Graph and interpret quantitative Data sets using stem and leaf plots And dot plots. - PowerPoint PPT Presentation
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Section 2-2 More graphs and Displays
Objective: SWBAT Graph and interpret quantitative Data sets using
stem and leaf plots And dot plots.Also be able to graph and interpret
quantitative data sets using pie charts and Pareto charts. How to graph and
interpret paired data sets using scatter plots, and time series charts.
Graphing Quantitative Data Sets
Constructing a stem and leaf plot The following are the numbers of league leading Runs batted in (RBIs) for baseballs American League
during a recent 50 yeafr period. Display the data in a Stem and leaf plot. What can you conclude.
SolutionBecause the data entries go from a low of 78 to a high of 159
use stem values from 7 to 15. To construct the plot list those stems to the left of a vertical line. For each data entry list a leaf to the right of its stem. For instance the entry 155 has a stem of 15 and a leaf of 5. The resulting stem and leaf plot will be unordered. To obtain an ordered stem and leaf plot , rewrite the plot with the leaves in increasing order. From left to right. It is important to include a key for the display to identify the values of the data.
So that each 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 the entry’s position on the axis, If an entry is repeated plot another point above the previous point.
70 90 110 130 150160155105
From the dot plot you can see that most of the points cluster around 105 and 148. The value that occurs the most is 126.
Try This Yourself
• Use a dot plot to organize the data listed in the chapter opener on page 30. What can you conclude from the graph?
a. Choose an appropriate scale for the horizontal axis.
b. Represent each data entry by plotting a point for each entry.
c. Describe any patterns for the data.
Graphing Quantitative data SetsConstructing a Pie ChartThe number of motor vehicle occupants killed in
the table. Use a Pie Chart to organize the data. What can you conclude?
f Relative Frequency
Angle
CarsTrucksMotorcyclesOther
20,81812,001 2,472 515
0.58 0.34 0.07 0.01
209o
132o
25o
4o
Motor Vehicle Occupants Killed in 1999
Occupants Killed
CarsTrucksMotorcycles4th Qtr
Trucks 34%
Other 1%
Cars 58%
Motorcycles 7%
34%
Try it YourselfThe number of motor vehicles Occupants killed in
1989 are listed in the table. Use a Pie chart to organize the data. Compare the 1989 data to the 1999 data.
Vehicle Type Killed
CarsTrucks MotorcyclesOther
25,063 9,409 3,141 474
Pareto Chart
Another way to graph qualitative data is with a Pareto Chart. A pareto Chart is a vertical bar graph in which the height of each bar represents the frequency or relative frequency. The bars are positioned in decreasing order of decreasing height with the tallest bar positioned at the left. Such positioning helps highlight important data and is used frequently in Business.
Example 5
Constructing a Pareto Chart In a recent year the retail industry lost $41.0
million in inventory shrinkage. Inventory shrinkage is the loss of inventory through breakage, pilfering , shoplifting, and so on.The causes of inventory shrinkage are administrative error($7.8million),employee theft($15.6million),shoplifting($14.7million), vendor fraud($2.9 million). If you were a retailer which causes of inventory shrinkage would you address first?
Solution
Employee Theft
Shoplift
iing
Administrati
ve Erro
r
Vendor Frau
d02468
1012141618
Causes of Inventory Shrinkage
Causes of Inventory Shrinkage
Try it YourselfEvery year the Better Business Bureau receives
complaints from dissatisfied customers. In a recent year they received the following complaints.
7792Complaints about home furnishing stores5733 Complaints about computer sales and service
stores14,668 Complaints about auto dealers.9728 Complaints about auto repair shops.4649 Complaints about dry cleaning companies.Use a Pareto Chart to organize the data. What
source is the greatest cause of complaints?
Homework 1-14, 15-29 odd pgs.53-56
More Graphs and Displays
Section 2.2
Stem-and-Leaf Plot
6 | 7 | 8 | 9 |
10 |11 | 12 |
Lowest value is 67 and highest value is 125, so list stems from 6 to 12.