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2-6 Box-and-Whisker Plots Indicator  D1 Read, create, and interpret box-and whisker plots Page 80-83.

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Presentation on theme: "2-6 Box-and-Whisker Plots Indicator  D1 Read, create, and interpret box-and whisker plots Page 80-83."— Presentation transcript:

1 2-6 Box-and-Whisker Plots Indicator  D1 Read, create, and interpret box-and whisker plots Page 80-83

2 Box-and Whisker Plots A box-and-whisker plot is a diagram that summarizes data by dividing it into four parts. Five-number summary is another name for the visual representations of the box-and-whisker plot. The five-number summary consists of the median, the quartiles, and the smallest (lower extreme) and greatest (upper extreme) values in the distribution.

3 The first step… … in constructing a box-and-whisker plot is to first find the median, the lower quartile and the upper quartile of a given set of data. Example: The following set of numbers are the amount of marbles fifteen different boys own (they are arranged from least to greatest). 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100

4 First find the median. The median is the value exactly in the middle of an ordered set of numbers. * 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 68 is the median The median splits the data into 2 halves, the upper half and the lower half.

5 Next, we consider only the values to the left of the median (the lower half) 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 18 27 34 52 54 59 61 We now find the median of this set of numbers. Remember, the median is the value exactly in the middle of an ordered set of numbers. Thus, 52 is the median of the lower half of the data, and therefore is the lower quartile. 52 is the lower quartile

6 Now consider only the values to the right of the median (the upper half) 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 78 82 85 87 91 93 100 We now find the median of this set of numbers. The median is 87 of the upper half of the data. 87 is the upper quartile

7 You are now ready to find the interquartile range (IQR). The interquartile range is the difference between the upper quartile and the lower quartile. In our case the IQR = 87 - 52 = The IQR is a very useful measurement. It is useful because it is less influenced by extreme values, it limits the range to the middle 50% of the values. 35 is the interquartile range 35

8 Now we draw our graph. 1. Plot the data points on the # line 2. Draw the box and whiskers Upper Extreme = 100 Upper Quartile = 87 Median = 68 Lower Quartile = 52 Lower Extreme = 18

9 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 Upper Extreme = 100 Upper Quartile = 87 Median = 68 Lower Quartile = 52 Lower Extreme = 18 Let’s prove that this plot breaks the data into 4 equal parts, even though it does not appear to do so on the actual plot. Let’s look at the data set one more time… 1st quarter of data 2nd quarter of data 3rd quarter of data4th quarter of dataLower ½ of dataUpper ½ of data Reminders… 1. The median splits the data into halves… 2. The quartiles split the data into quarters…

10 Reminder… (*If you're finding the median in an ordered set with an even number of values, you must take the average of the two middle numbers. For example: 3, 5, 7, and 10. Add the two middle numbers. 5 + 7 = 12. Divided 12 by 2 to get the average. 12 / 2 = 6. Therefore 6 is the median for the ordered set of 3, 5, 7, and 10.)

11 Homework: 2-6 packet


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