Mean Absolute Deviation

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http://www.youtube.com/watch?v=z9AJk7TvdpQ

description

Mean Absolute Deviation. http://www.youtube.com/watch?v=z9AJk7TvdpQ. Bellringer. Use the following data set to construct a box and whisker plot. Identify the outlier Label the cluster(s) and/or gap(s) 12, 17, 15, 7, 9, 4, 15, 13, 100, 8, 15,. Vocabulary. - PowerPoint PPT Presentation

Transcript of Mean Absolute Deviation

Page 1: Mean Absolute Deviation

http://www.youtube.com/watch?v=z9AJk7TvdpQ

Page 2: Mean Absolute Deviation

Use the following data set to construct a box and whisker plot.

Identify the outlier Label the cluster(s) and/or gap(s)

12, 17, 15, 7, 9, 4, 15, 13, 100, 8, 15,

Page 3: Mean Absolute Deviation

Deviation: The distance that two points are separated from each other.

Deviation from the mean: How far the data point is from the mean. To find this distance, subtract the two values (the data point and the mean).

Mean absolute deviation (MAD): the average distance of all the data points from their mean.

Page 4: Mean Absolute Deviation

Find the mean absolute deviation of the following test scores:

87, 94, 72, 65, 97, 7

Page 5: Mean Absolute Deviation

Step 1: Write the data in the first column of the table.

Column 1 Column 2 Column 3 Column 4Data Mean Difference Positive

Value

87947265977

SumCountMAD

Page 6: Mean Absolute Deviation

Step 2: Calculate the mean of the data and write that in each cell of column 2.

Column 1 Column 2 Column 3 Column 4Data Mean Difference Positive

Value

87 70.394 70.372 70.365 70.397 70.37 70.3

SumCountMAD

87 94 72 65 97+ 7422 ÷ 6 = 70.3

Page 7: Mean Absolute Deviation

Step 3: Subtract column 1 from column 2 and write the difference in column 3.

Column 1 Column 2 Column 3 Column 4Data Mean Difference Positive

Value

87 70.3 -16.794 70.3 -23.772 70.3 -1.765 70.3 5.397 70.3 -26.77 70.3 63.3

SumCountMAD

70.3 – 87 = -16.7

70.3 – 94 = -23.7

70.3 – 72 = -1.7

70.3 – 65 = 5.3

70.3 – 97 = -26.7

70.3 – 7 = 63.3

Page 8: Mean Absolute Deviation

Step 4: Rewrite all the numbers from column 3 as positive numbers in column 4.

Column 1 Column 2 Column 3 Column 4Data Mean Difference Positive

Value

87 70.3 -16.7 16.794 70.3 -23.7 23.772 70.3 -1.7 1.765 70.3 5.3 5.397 70.3 -26.7 26.77 70.3 63.3 63.3

SumCountMAD

Page 9: Mean Absolute Deviation

Step 5: Calculate the mean of the data in column 4, and you’re done! This is the MAD.

Column 1 Column 2 Column 3 Column 4Data Mean Difference Positive

Value

87 70.3 -16.7 16.794 70.3 -23.7 23.772 70.3 -1.7 1.765 70.3 5.3 5.397 70.3 -26.7 26.77 70.3 63.3 63.3

Sum 137.4Count 6MAD 22.9

16.7 23.7 1.7 5.3 26.7+ 63.3 137.4 ÷ 6 = 22.9

Page 10: Mean Absolute Deviation

Find the mean absolute deviation of the data. Round to the nearest hundredth, if necessary.

87, 75, 85, 77, 74, 82

Click here to check your answer

Page 11: Mean Absolute Deviation

Solution:Column 1 Column 2 Column 3 Column 4

Data Mean Difference Positive Value

87 80 -7 775 80 5 585 80 -5 577 80 3 374 80 6 682 80 -2 2

Sum 28Count 6MAD 4.7

Page 12: Mean Absolute Deviation

Calculate the mean absolute deviation of each set of data. Show all work and answers on a separate sheet of notebook paper.

(1) 12, 15, 7, 14, 18, 8 , 10

(2) 17, 11, 18, 15, 13, 18, 13