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Displaying Quantitative Data Dot Plots Time Plots Stem and Leaf Plots Histograms Box Plots Remember to always describe these graphs using CUSS after you.

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Presentation on theme: "Displaying Quantitative Data Dot Plots Time Plots Stem and Leaf Plots Histograms Box Plots Remember to always describe these graphs using CUSS after you."— Presentation transcript:

1 Displaying Quantitative Data Dot Plots Time Plots Stem and Leaf Plots Histograms Box Plots Remember to always describe these graphs using CUSS after you have graphed your data.

2 Dot Plots Most Useful - Small number of values - Want to see individual values - Want to see the shape of the distribution - You have a small number of groups you want to compare Let’s make a dot plot for the number of movies we saw this summer.

3 Time Plots - Type of dot plot - Plot data in order according to time Example: page 57.

4

5 Stem and Leaf Plots Most Useful - Relatively Small number of values - Want to see the shape of the distribution - You have two or more groups to compare Sometimes just called a stem plot stemleaf You always need a key with stem plot.

6 Example: page 67 #17

7 Suppose the grades on a test were 95 90 87 88 65 73 72 53 97 95 73 96 78 75 60 89 81 82 84 78 76 68 Make a stem plot 9876598765 Make a stem plot with split stems 9H 9L 8H 8L 7H 7L 6H 6L 5H 5L

8 Back – to – back stem plots Used to compare data Page 70 # 35

9 Histograms Most Useful - large number of values - You don’t need to see individual values - Want to see the shape of the distribution - You have a small number of groups you want to compare Draw backs - Individuals working with the same data could get different graphs We will use our calculator to create histograms, we will not create by hand

10 Example 1: Number of pieces of mail received at a school office for 36 days 123709080787252103138 112 92931181181069513159 151 115971001281306613576 14310088110756011510585

11 Example 2: The Degree of Reading Power (DRP) scores for 44 third grade students 40263914421825434627 19471926 353415444038 3146522535353329 3441 49285247354822334151 2714 5445 First let us divide the data into classes and make a frequency chart classfrequency 10-19 20-29 30-39 40-49 50-59 In L1 enter the smallest number of the class (10, 20, etc) In L2 enter the frequency You will need the change the window for your graph: Xmin=10, Xmax=60, Xscl = 10

12 Example 3: page 66: #15


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