Question
For the 49 observations of the variable x
in the data file
boxhist.csv draw a histogram, a boxplot and a stripchart.
Based on the graphics, answer the following questions or check the correct
statements, respectively. (Comment: The tolerance for numeric answers is
, the true/false statements are either about correct or clearly wrong.)
-
The distribution is unimodal. / The distribution is not unimodal.
-
The distribution is symmetric. / The distribution is right-skewed. / The distribution is left-skewed.
-
The boxplot shows outliers. / The boxplot shows no outliers.
-
A quarter of the observations is smaller than which value?
-
A quarter of the observations is greater than which value?
-
Half of the observations are smaller than which value?
Solution
![](data:image/png;base64,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)
-
False / True
-
True / False / False
-
False / True
-
2.55
-
13.1
-
10.4