The following data represent the weights of 16 pre-1964 quarters. Find the 5-number summary and construct a boxplot.
6.00056.0005 |
6.14846.1484 |
6.32776.3277 |
6.08216.0821 |
6.11816.1181 |
6.13056.1305 |
6.19426.1942 |
6.19486.1948 |
|
6.17196.1719 |
6.07646.0764 |
6.24156.2415 |
6.21486.2148 |
6.14226.1422 |
6.28646.2864 |
6.26476.2647 |
We have given the data of 15 weights (NOT 16) is below
Count | data |
1 | 6.0005 |
2 | 6.1484 |
3 | 6.3277 |
4 | 6.0821 |
5 | 6.1181 |
6 | 6.1305 |
7 | 6.1942 |
8 | 6.1948 |
9 | 6.1719 |
10 | 6.0764 |
11 | 6.2415 |
12 | 6.2148 |
13 | 6.1422 |
14 | 6.2864 |
15 | 6.2647 |
We have taken help of MINITAB to make boxplots of this data is
The 5-point summary is
Descriptive Statistics: data
Mean | 6.1729 |
StDev | 0.0871 |
Minimum | 6.0005 |
Q1 | 6.1181 |
Median | 6.1719 |
Q3 | 6.2415 |
here we have an incusion extra of StDev to get some idea about deviation, please ignore Stdev while reporting 5-point Descriptive.
Upvote the solution Please .
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