Measure of central tendency and measure of dispersion using R console:
> age1=scan() [enter data by variable age1]
1: 20
2: 24
3: 19
4: 24
5: 18
6: 19
7: 24
8: 22
9: 23
10: 19
11: 19
12: 24
13: 2
14: 21
15: 22
16: 23
17: 24
18: 21
19: 25
20: 23
21:
Read 20 items
> mean(age1) [to find mean]
[1] 20.8
> median(age1) [to find median]
[1] 22
> summary(age1) [to find min., 1st, 3rd quartile, mean, median, max. at a time]
Min. 1st Qu. Median Mean 3rd Qu. Max.
2.0 19.0 22.0 20.8 24.0 25.0
> quantile(age1) [to find n percentile]
0% 25% 50% 75% 100%
2 19 22 24 25
> IQR(age1) [to find inter quartile range]
[1] 5
> var(age1) [to find variance]
[1] 24.27368
> sd(age1) [to find S.D. ]
[1] 4.926833
> boxplot(age1, lables=T) [to draw boxplot of data]
> age1=scan() [enter data by variable age1]
1: 20
2: 24
3: 19
4: 24
5: 18
6: 19
7: 24
8: 22
9: 23
10: 19
11: 19
12: 24
13: 2
14: 21
15: 22
16: 23
17: 24
18: 21
19: 25
20: 23
21:
Read 20 items
> mean(age1) [to find mean]
[1] 20.8
> median(age1) [to find median]
[1] 22
> summary(age1) [to find min., 1st, 3rd quartile, mean, median, max. at a time]
Min. 1st Qu. Median Mean 3rd Qu. Max.
2.0 19.0 22.0 20.8 24.0 25.0
> quantile(age1) [to find n percentile]
0% 25% 50% 75% 100%
2 19 22 24 25
> IQR(age1) [to find inter quartile range]
[1] 5
> var(age1) [to find variance]
[1] 24.27368
> sd(age1) [to find S.D. ]
[1] 4.926833
> boxplot(age1, lables=T) [to draw boxplot of data]
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