In: Math
a) Range = Maximum value - Minimum value
Range = 30 - 12
Range = 18
The sample size is n = 24.
We need to compute the 25% percentile based on the data provided.
Position | X (Asc. Order) |
1 | 12 |
2 | 12 |
3 | 12 |
4 | 15 |
5 | 15 |
6 | 16 |
7 | 16 |
8 | 17 |
9 | 17 |
10 | 18 |
11 | 18 |
12 | 18 |
13 | 19 |
14 | 19 |
15 | 19 |
16 | 20 |
17 | 21 |
18 | 22 |
19 | 23 |
20 | 23 |
21 | 26 |
22 | 30 |
23 | 35 |
24 | 44 |
The next step is to compute the position (or rank) of the 25% percentile. The following is obtained:
Since the position found is not integer, the method of interpolation needs to be used. The 25% percentile is located between the values in the positions 6 and 7. Those values, based on the data organized in ascending order, are 16 and 16.
The value of 6.25 - 6 = 0.25 corresponds to the proportion of the distance between 16 and 16 where the percentile we are looking for is located at. In fact, we compute
This completes the calculation and we conclude that = 16.
The next step is to compute the position (or rank) of the 75% percentile. The following is obtained:
Since the position found is not integer, the method of interpolation needs to be used. The 75% percentile is located between the values in the positions 18 and 19. Those values, based on the data organized in ascending order, are 22 and 23.
The value of 18.75 - 18 = 0.75 corresponds to the proportion of the distance between 22 and 23 where the percentile we are looking for is located at. In fact, we compute
This completes the calculation and we conclude that =
22.75.
The sample size is n = 24. The provided sample data along with
the data required to compute the variance are shown in the
table below:
X | X2 | |
18 | 324 | |
19 | 361 | |
12 | 144 | |
18 | 324 | |
20 | 400 | |
15 | 225 | |
17 | 289 | |
19 | 361 | |
23 | 529 | |
30 | 900 | |
21 | 441 | |
16 | 256 | |
44 | 1936 | |
17 | 289 | |
15 | 225 | |
12 | 144 | |
18 | 324 | |
26 | 676 | |
19 | 361 | |
12 | 144 | |
23 | 529 | |
22 | 484 | |
35 | 1225 | |
16 | 256 | |
Sum = | 487 | 11147 |
Also, the sample variance is
= 52.7064
Therefore, the sample standard deviation s is
s = 7.416
What percentile will be 20
20 lies at 16 observations
The next step is to compute the percentile of the 16th rank. Let it be xThe following is obtained:
Solving
25*x = 16*100
x = 64
64th percentile is the value 20