If the dispersion is small, the standard deviation is:
1.Large
2.Zero
3.Small
4.Negative
Posted Date:-2021-11-13 11:10:53
All odd order moments about mean in a symmetrical distribution are:
1.Positive
2.Negative
3.Zero
4.Three
Posted Date:-2021-11-13 11:02:47
Bowley's coefficient of skewness lies between:
1.0 and 1
2.1 and +1
3.-1 and 0
4.-2 and +2
Posted Date:-2021-11-13 11:04:06
For a positively skewed distribution, mean is always:
1.Less than the median
2.Less than the mode
3.Greater than the mode
4.Difficult to tell
Posted Date:-2021-11-13 11:03:42
For a symmetrical distribution:
1.β1 > 0
2.β1 < 0
3.β1 = 0
4.β1= 3
Posted Date:-2021-11-13 10:46:04
Half of the difference between upper and lower quartiles is called:
1.Interquartile range
2.Quartile deviation
3.Mean deviation
4.Standard deviation
Posted Date:-2021-11-13 11:05:41
If all the scores on examination cluster around the mean, the dispersion is said to be:
1.Small
2.Large
3.Normal
4.Symmetrical
Posted Date:-2021-11-13 10:57:32
If mean=25, median=30 and standard deviation=15, the distribution will be:
1.Symmetrical
2.Positively skewed
3.Negatively skewed
4.Normal
Posted Date:-2021-11-13 10:55:23
If standard deviation of the values 2, 4, 6, 8 is 2.236, then standard deviation of the values 4, 8,12, 16 is:
1.0
2.4.472
3.4.236
4.2.236
Posted Date:-2021-11-13 10:51:39
If the maximum value in a series is 25 and its range is 15, the maximum value of the series is:
1.10
2.15
3.25
4.35
Posted Date:-2021-11-13 10:48:27
If the observations of a variable X are, -4, -20, -30, -44 and -36, then the value of the range will be:
1.-48
2.40
3.-40
4.48
Posted Date:-2021-11-13 10:47:57
If the third moment about mean is zero, then the distribution is:
1.Positively skewed
2.Positively skewed
3.Symmetrical
4.Mesokurtic
Posted Date:-2021-11-13 10:54:55
If there are many extreme scores on all examination, the dispersion is:
1.Large
2.Small
3.Normal
4.Symmetric
Posted Date:-2021-11-13 11:07:48
If Y = aX + b, where a and b are any two numbers but a ∦ 0, then S.D(Y) is equal to:
1.S.D(X)
2.a S.D(X)
3.∣a∣ S.D(X)
4.a S.D(X) + b
Posted Date:-2021-11-13 11:11:47
If Y = aX ± b, where a and b are any two constants and a ∦ 0, then the quartile deviation of Y values is equal to:
1.a Q.D(X) + b
2.∣a∣ Q.D(X)
3.Q.D(X) - b
4.∣b∣ Q.D(X)
Posted Date:-2021-11-13 10:45:40
If Y = aX ± b, where a and b are any two numbers and a ∦ 0, then the range of Y values will be:
1.Range(X)
2.a range(X) + b
3.a range(X) - b
4.∣a∣ range(X)
Posted Date:-2021-11-13 11:09:40
If Y = aX ± b, where a and b are any two numbers but a ∦ 0, then M.D(Y) is equal to:
1.M.D(X)
2.M.D(X) ± b
3.∣a∣ M.D(X)
4.M.D(Y) + M.D(X)
Posted Date:-2021-11-13 11:10:29
In a mesokurtic or normal distribution, 4 = 243. The standard deviation is:
1.81
2.27
3.9
4.3
Posted Date:-2021-11-13 10:56:37
In a set of observations the variance is 50. All the observations are increased by 100%. The variance of the increased observations will become:
1.50
2.200
3.100
4.No change
Posted Date:-2021-11-13 11:02:25
In a symmetrical distribution, Q3 – Q1 = 20, median = 15. Q3 is equal to:
1.5
2.15
3.20
4.25
Posted Date:-2021-11-13 10:55:46
In quality control of manufactured items, the most common measure of dispersion is:
1.Range
2.Average deviation
3.Standard deviation
4.Quartile deviation
Posted Date:-2021-11-13 11:09:17
Mean deviation computed from a set of data is always:
1.Negative
2.Equal to standard deviation
3.More than standard deviation
4.Less than standard deviation
Posted Date:-2021-11-13 10:48:52
Moment ratios β1 and β2 are:
1.Independent of origin and scale of measurement
2.Expressed in original unit of the data
3.Unit less quantities
4.Both (a) and (c)
Posted Date:-2021-11-13 10:54:30
S.D(X) = 6 and S.D(Y) = 8. If X and Yare independent random variables, then S.D(X-Y) is:
1.2
2.10
3.14
4.100
Posted Date:-2021-11-13 10:50:16
Standard deviation is always calculated from:
1.Mean
2.Median
3.Mode
4.Lower quartile
Posted Date:-2021-11-13 11:12:12
The degree of peaked ness or flatness of a unimodel distribution is called:
1.Skewness
2.Symmetry
3.Dispersion
4.Kurtosis
Posted Date:-2021-11-13 10:56:10
The first three moments of a distribution about the mean X are 1, 4 and 0. The distribution is:
1.Symmetrical
2.Skewed to the left
3.Skewed to the right
4.Normal
Posted Date:-2021-11-13 11:03:18
The mean deviation of the scores 12, 15, 18 is:
1.6
2.0
3.3
4.2
Posted Date:-2021-11-13 11:06:04
The measure of dispersion which uses only two observations is called:
1.Mean
2.Median
3.Range
4.Coefficient of variation
Posted Date:-2021-11-13 11:05:17
The measurements of spread or scatter of the individual values around the central point is called:
1.Measures of dispersion
2.Measures of central tendency
3.Measures of skewness
4.Measures of kurtosis
Posted Date:-2021-11-13 10:57:07
The measures of dispersion can never be:
1.Positive
2.Zero
3.Negative
4.Equal to 2
Posted Date:-2021-11-13 10:47:07
The measures used to calculate the variation present among the observations in the unit of the variable is called:
1.Relative measures of dispersion
2.Coefficient of skewness
3.Absolute measures of dispersion
4.Coefficient of variation
Posted Date:-2021-11-13 11:04:54
The measures used to calculate the variation present among the observations relative to their average is called:
1.Coefficient of kurtosis
2.Absolute measures of dispersion
3.Quartile deviation
4.Relative measures of dispersion
Posted Date:-2021-11-13 11:07:25
The moments about mean are called:
1.Raw moments
2.Central moments
3.Moments about origin
4.All of the above
Posted Date:-2021-11-13 10:52:01
The positive square root of the mean of the squares of the cleviations of observations from their mean is called:
1.Variance
2.Range
3.Standard deviation
4.Coefficient of variation
Posted Date:-2021-11-13 10:49:42
The range of the scores 29, 3, 143, 27, 99 is:
1.140
2.143
3.146
4.70
Posted Date:-2021-11-13 10:57:54
The ratio of the standard deviation to the arithmetic mean expressed as a percentage is called:
1.Coefficient of standard deviation
2.Coefficient of skewness
3.Coefficient of kurtosis
4.Coefficient of variation
Posted Date:-2021-11-13 10:50:41
The scatter in a series of values about the average is called:
1.Central tendency
2.Dispersion
3.Skewness
4.skewness
Posted Date:-2021-11-13 10:46:31
The second and fourth moments about mean are 4 and 48 respectively, then the distribution is:
1.Leptokurtic
2.Platykurtic
3.Mesokurtic or normal
4.Positively skewed
Posted Date:-2021-11-13 11:04:31
The standard deviation is independent of:
1.Change of origin
2.Change of scale of measurement
3.Change of origin and scale of measurement
4.Difficult to tell
Posted Date:-2021-11-13 11:01:20
The standard deviation of -5, -5, -5, -5, 5 is:
1.-5
2.+5
3.0
4.-25
Posted Date:-2021-11-13 11:06:54
The standard deviation one distribution dividedly the mean of the distribution and expressing in percentage is called:
1.Coefficient of Standard deviation
2.Coefficient of skewness
3.Coefficient of quartile deviation
4.Coefficient of variation
Posted Date:-2021-11-13 11:11:20
The sum of absolute deviations is minimum if these deviations are taken from the:
1.Mean
2.Mode
3.Median
4.Upper quartile
Posted Date:-2021-11-13 10:59:34
The variance is zero only if all observations are the:
1.Different
2.Square
3.Square root
4.Same
Posted Date:-2021-11-13 11:06:30
To compare the variation of two or more than two series, we use
1.Combined standard deviation
2.Corrected standard deviation
3.Coefficient of variation
4.Coefficient of skewness
Posted Date:-2021-11-13 10:51:08
Which measure of dispersion can be computed in case of open-end classes?
1.Standard deviation
2.Range
3.Quartile deviation
4.Coefficient of variation
Posted Date:-2021-11-13 11:10:04
Which measure of dispersion has a different unit other than the unit of measurement of values:
1.Range
2.Standard deviation
3.Variance
4.Mean deviation
Posted Date:-2021-11-13 10:49:17
Which of the following is an absolute measure of dispersion?
1.Coefficient of variation
2.Coefficient of dispersion
3.Standard deviation
4.Coefficient of skewness
Posted Date:-2021-11-13 10:47:31
Which of the following measures of dispersion is expressed in the same units as the units of observation?
1.Variance
2.Standard deviation
3.Coefficient of variation
4.Coefficient of standard deviation
Posted Date:-2021-11-13 11:00:58
Which of the following statements is correct?
1.The standard deviation of a constant is equal to unity
2.The sum of absolute deviations is minimum if these deviations are taken from the mean.
3.The second moment about origin equals variance
4.The variance is positive quantity and is expressed in square of the units of the observations
Posted Date:-2021-11-13 11:01:57