Difference between revisions of "EBook Problems EDA Pics"

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(New page: ==EBook - Pictures of Data Problems== === Problem 1=== Two random samples were taken to determine backpack load difference between seniors...)
 
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==[[EBook]] - [[AP_Statistics_Curriculum_2007_EDA_Pics | Pictures of Data]] Problems==
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==[[EBook_Problems | EBook Problems Set]] - [[AP_Statistics_Curriculum_2007_EDA_Pics | Pictures of Data]] Problems==
  
 
=== Problem 1===
 
=== Problem 1===

Revision as of 22:14, 7 November 2008

EBook Problems Set - Pictures of Data Problems

Problem 1

Two random samples were taken to determine backpack load difference between seniors and freshmen, in pounds. The following are the summaries:

Year Mean SD Median Min Max Range Count
Freshmen 20.43 4.21 17.20 5.78 31.68 25.9 115
Senior 18.67 3.56 18.67 5.31 27.66 22.35 157
  • Which of the following plots would be the most useful in comparing the two sets of backpack weights?
  • Choose One Answer:
  1. Histograms
  2. Dot Plots
  3. Scatter Plots
  4. Box Plots


Problem 2

There is a company in which a very small minority of males (3%) receive three times the median salary of males, and a very small minority of females (3%) receive one-third of the median salary of females. What do you expect the side-by-side boxplot of male and female salaries to look like?

  • Choose one answer.
  1. Both boxplots will be skewed and the median line will not be in the middle of any of the boxes.
  2. Both boxplots will be skewed, in the case of the females the median line will be close to the top of the box and in the case of the males the median line will be closer to the bottom of the box.
  3. Need to have the actual data to compare the shape of the boxplots.
  4. Both boxplots will be skewed, in the case of males the median line will be close to the top of the box and for the females the median line will be closer to the bottom of the box.

Problem 3

Which of the following parameters is most sensitive to outliers?

  • Choose one answer.
  1. Interquartile Range
  2. Mode
  3. Median
  4. Standard Deviation



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