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Numerical Methods for Describing Data

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Presentation on theme: "Numerical Methods for Describing Data"— Presentation transcript:

1 Numerical Methods for Describing Data
From Graphical to Numerical

2 Interquartile range (IQR) = Q3 – Q1
2. The percentage of juice lost after thawing for 19 different strawberry varieties appeared in the article “Evaluation of Strawberry Cultivars with Different Degrees of Resistance to Red Scale”: 6L 0 5H 5 5L 4H 4L 3H 3L 3 Key: 3 | 3 means 33 Q1 = 44 Median = 46 Q3 = 53 IQR = 9 lowest = 33 highest = 60 Five number summary: lowest value, Q1, median, Q3, highest value (33,44,46,53,60) Interquartile range (IQR) = Q3 – Q1

3 Outlier (below): smaller than Q1 – 1.5IQR
Outlier (above): larger than Q IQR 44 – 1.5(9) = 30.5 No outliers! (9) = 66.5 Boxplot 33 44 46 53 60 1.5 IQR IQR Percent of Juice Lost

4 Modified Boxplot Suppose the data set replaces 33 with 28 *
41 28 44 46 53 60 * 1.5 IQR Percent of Juice Lost

5 Recap of Numerical Descriptors
Measures of center: mean, median Measures of variability: spread, range, IQR, variance, standard deviation Mean, range, spread, variance and standard deviation are nonresistant to outliers. How does shape affect the measures of center and variability?

6 How the tail pulls the mean
MEDIAN = 9 = MEAN AVERAGES I = 9 II = 9 III = 9 IV = 9 V = 9 VI = 9 VII = 9 VIII = 9 IX = 9 IX IX VIII VIII IV VII VII IV III VI VI III I II V V II I

7 How the tail pulls the mean
MEDIAN = 9 AVERAGES I = 10 II = 10 III = 9 IV = 9 V = 10 VI = 9 VII = 9 VIII = 9 IX = 9 MEAN = 9.33 IX VIII IX IV VII VIII V III VI VII IV I II V VI III II I

8 How the tail pulls the mean
MEDIAN = 9 AVERAGES I = 12 II = 11 III = 10 IV = 10 V = 10 VI = 10 VII = 9 VIII = 9 IX = 9 MEAN = 10 IX IV VIII III VII IX II VI VIII VI IV I V VII V III II I

9 How the tail pulls the mean
MEDIAN = 9 AVERAGES I = 13 II = 12 III = 11 IV = 11 V = 10 VI = 10 VII = 9 VIII = 9 IX = 9 IX MEAN = 10.44 VIII VII III VI IX II V VIII VI I IV VII V IV III II I


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