For the given data, the calculation corresponding to all values of variates (x,y) is following. The Karl Pearson's correlation coefficient is.
0. 2
0.5
0. 66
0. 33
If the standard deviation of a variable x is σ, then the standard deviation of another variable is:
σ
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 values of mean, median and mode coincide, then the distribution is:
Positive skewness
Symmetric distribution
Negative skewness
All of the above
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 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
If the coefficient of variation is 45% and the mean is 12, then its standard deviation is:
5.2
5.3
5.4
5.5
The standard deviation of a variable x is 10. Then, the standard deviation of 50 +5x is:
50
550
10
500
If in a frequency distribution, the mean and median are 21 and 22 respectively, then its mode is approximately.
24
25.5
20.5
22.0
If the variance of 1,2,3,4, ... 10 is 99/12, then the standard deviation of 3, 6, 9, 12, .... 30 is:
