The measure of dispersion which uses only two observations is called:
Standard deviation
Range
Quartile deviation
Mean deviation
85 practice sets · Page 3 of 5
The measure of dispersion which uses only two observations is called:
Standard deviation
Range
Quartile deviation
Mean deviation
The measure of dispersion which uses only two observations is called:
Mean
Median
Range
Coefficient of variation
Which of the following is an absolute measure of dispersion?
Coefficient of variation
Coefficient of dispersion
Standard deviation
Coefficient of skewness
Given below the four sets of observations. Which set has the minimum variation?
46, 48, 50, 52, 54
30, 40, 50, 60, 70
40, 50, 60, 70, 80
48, 49, 50, 51, 52
If there are many extreme scores on all examination, the dispersion is:
Large
Small
Normal
Symmetric
If all the scores on examination cluster around the mean, the dispersion is said to be:
Small
Large
Normal
Symmetrical
The measures of dispersion can never be:
Positive
Zero
Negative
Equal to 2
The degree to which numerical data tend to spread about an average value called:
Constant
Flatness
Variation
Skewness
The measures used to calculate the variation present among the observations relative to their average is called:
Coefficient of kurtosis
Absolute measures of dispersion
Quartile deviation
Relative measures of dispersion
The measures used to calculate the variation present among the observations in the unit of the variable is called:
Relative measures of dispersion
Coefficient of skewness
Absolute measures of dispersion
Coefficient of variation
The measurements of spread or scatter of the individual values around the central point is called:
Measures of dispersion
Measures of central tendency
Measures of skewness
Measures of kurtosis
The scatter in a series of values about the average is called:
Central tendency
Dispersion
Skewness
Symmetry
In a mesokurtic or normal distribution, μ4 = 243. The standard deviation is:
81
27
9
3
The second and fourth moments about mean are 4 and 48 respectively, then the distribution is:
Leptokurtic
Platykurtic
Mesokurtic or normal
Positively skewed
The degree of peaked ness or flatness of a unimodel distribution is called:
Skewness
Symmetry
Dispersion
Kurtosis
In a symmetrical distribution Q1 = 20 and median= 30. The value of Q3 is:
50
35
40
25
The lower and upper quartiles of a distribution are 80 and 120 respectively, while median is 100. The shape of the distribution is:
Positively skewed
Negatively skewed
Symmetrical
Normal
Which of the following is correct in a negatively skewed distribution?
The arithmetic mean is greater than the mode
The arithmetic mean is greater than the median
(Q3 – Median) = (Median – Q1)
(Q3 – Median) < (Median – Q1)
In a symmetrical distribution, Q3 – Q1 = 20, median = 15. Q3 is equal to:
5
15
20
25
Bowley's coefficient of skewness lies between:
0 and 1
1 and +1
-1 and 0
-2 and +2