If r is Karl Pearson's coefficient of correlation between two sets of variates, then.
r < 1
r > 1
r < -1
| r | ≤ 1
1/5
-1/5
2/5
-2/5
If the standard deviation of a variable x is σ, then the standard deviation of another variable is
σ
None of these
The mode of the series 3, 4, 2, 6, 1, 7,6 7, 6, 8, 9, 5 is.
5
6
7
8
and n = 10, then the coefficient of correlation is
0.1
0.3
0.2
The Standard deviation of n observations x1,x2,---xn is 2. If xi2 = 100, then n is
10 or 20
5 or 10
5 or 20
5 or 15
The standard deviation of n observations x1, x2, ---xn is 2. If xi2 = 100, then n is
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 values of mean, median and mode coincide, then the distribution is.
Positive skewness
Symmetric distribution
Negative skewness
All of the above
Consider the following statementsi. Mode can be computed from histogramii. Median is not independent of change of scaleiii. Variance is independent of change of origin and scaleWhich of these is/ are correct?
only (1)
only (ii)
only (i) and (ii)
only (i), (ii) and (iii)