2.17 Income at the coffee shop. The first histogram below shows the distribution of the yearly incomes of 40 patrons at a college coffee shop. Suppose two new people walk into the coffee shop: one making $225,000 and the other $250,000. The second histogram shows the new income distribution. Summary statistics are also provided. 12 - 4 (1) (2) 40 42 60,680 1st Qu. 63,620 65,240 65,090 3rd Qu. 66,160 69,890 Min. 60,680 63,710 $60k $62.5k $65k $67.5k $70k (1) Median 65,350 Mean 73,300 66,540 250,000 37,321 Мах. 4 SD 2,122 $60k $110k $160k $210k $260k (2) (a) Would the mean or the median best represent what we might think of as a typical income for the 42 patrons at this coffee shop? What does this say about the robustness of the two measures? (b) Would the standard deviation or the IQR best represent the amount of variability in the incomes of the 42 patrons at this coffee shop? What does this say about the robustness of the two measures?
2.17 Income at the coffee shop. The first histogram below shows the distribution of the yearly incomes of 40 patrons at a college coffee shop. Suppose two new people walk into the coffee shop: one making $225,000 and the other $250,000. The second histogram shows the new income distribution. Summary statistics are also provided. 12 - 4 (1) (2) 40 42 60,680 1st Qu. 63,620 65,240 65,090 3rd Qu. 66,160 69,890 Min. 60,680 63,710 $60k $62.5k $65k $67.5k $70k (1) Median 65,350 Mean 73,300 66,540 250,000 37,321 Мах. 4 SD 2,122 $60k $110k $160k $210k $260k (2) (a) Would the mean or the median best represent what we might think of as a typical income for the 42 patrons at this coffee shop? What does this say about the robustness of the two measures? (b) Would the standard deviation or the IQR best represent the amount of variability in the incomes of the 42 patrons at this coffee shop? What does this say about the robustness of the two measures?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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