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Distribution: Symmetric
Waiting Times (Minutes) | |||||||||
---|---|---|---|---|---|---|---|---|---|
26 | 38 | 15 | 8 | 22 | 42 | 25 | 20 | 17 | 18 |
40 | 35 | 24 | 31 | 42 | 29 | 25 | 0 | 30 | 13 |
The given table represents the waiting times at a restaurant. We are asked to display the data in a histogram by using five intervals, beginning with 0-9. To do so, we first need to make a frequency table.
Waiting Times | Frequency |
---|---|
0-9 | 2 |
10-19 | 4 |
20-29 | 7 |
30-39 | 4 |
40-49 | 3 |
We can now display the data in a histogram. To do so, let's set the horizontal axis to be the Time
and the vertical axis to be the Frequency.
Finally, we will draw bars to represent the frequency of each interval. Let's do it!
We can see that the data on the right of the distribution are approximately a mirror image of the data on the left of the distribution. Therefore, the distribution is approximately symmetric.
Waiting Times | Frequency |
---|---|
0-4 | 1 |
5-9 | 1 |
10-14 | 1 |
15-19 | 3 |
20-24 | 3 |
25-29 | 4 |
30-34 | 2 |
35-39 | 2 |
40-44 | 3 |
45-49 | 0 |
Let's display the data in a histogram.
This time, we can see that the tail of the graph extends to the left and most of the data are on the right. Therefore, when the number of intervals is increased the distribution is skewed left.