The mean deviation from the mean of the set of observations -1, 0, 4 is
3
1
-2
2
and n = 10, then the coefficient of correlation is:
0.1
0.3
0.2
If the standard deviation of the observations -5, -4, 03, -2, -1, 0, 1, 2, 3, 4, 5 is √10. The standard deviation of observations 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 will be.
√10 + 20
√10 + 10
√10
None of these
If r is Karl Pearson's coefficient of correlation between two sets of variates, then:
r < 1
r > 1
r < -1
| r | ≤ 1
The median of a set of 9 distinct observations is 20.5. If each of the largest 4 observations of the set is increased by 2, then the median of the new set.
is increased by 2
is decreased by 2
is two times the original median
remains the same as that of original set
The mode of the series 3, 4, 2, 6, 1, 7,6 7, 6, 8, 9, 5 is:
5
6
7
8
If the standard deviation of a variable x is σ, then the standard deviation of another variable is:
σ
If var (x) = 8.25, var (y) = 33. 96 and cov (x,y) = 10.2then the correlation coefficient is:
0.89
-0.98
0.61
-0.16
1/5
-1/5
-2/5
2/5
The mean and variance of n observations x1, x2, ....x xn are 5 and 0 respectively. If xi2 = 400, then the value of n is equal to.
80
25
20
16
