Measures Of Dispersion

Measures Of Dispersion
The number of patients who visited the cardiologists are as 63, 57, 51, 65 in four days then the absolute mean deviation (approximately) is
8 patents
4 patients
10 patients
15 patients
Author: rikazzz Comment
Measures Of Dispersion
The mean absolute deviation is divided by coefficient of mean absolute deviation to calculate
variance
median
arithmetic mean
coefficient of variation
Author: rikazzz Comment
Measures Of Dispersion
The technique which implies in statistical process to measure the variation in data is called
measures of dispersion
measures of statistics
measures of process
none of above
Author: rikazzz Comment
Measures Of Dispersion
If the scatter or dispersion in the distribution is high on each side then this indicates
outliers of data
low uniformity of data
high uniformity of data
dispersion of data
Author: rikazzz Comment
Measures Of Dispersion
According to empirical rule, the standard deviation and mean interval that covers approximately 68.27% of data from a frequency distribution is
μ±σ
2μ±2σ
3μ±2σ
4μ±4σ
Author: rikazzz Comment
Measures Of Dispersion
If the positive square root is taken of population variance then the calculated measure is transformed into
standard root
standard deviation
standard variance
sample variance
Author: rikazzz Comment
Measures Of Dispersion
The variability which is defined as the difference between third and first quartile is considered as
quartile range
deciles range
percentile range
inter quartile range
Author: rikazzz Comment
Measures Of Dispersion
The price of gasoline for three days are as 98, 96, 97, 100 then the value of standard deviation with the assumed mean method is
15
10
1
11
Author: rikazzz Comment
Measures Of Dispersion
The value of third quartile is 72, second quartile is 52 and the first quartile is 45 then quartile deviation is
13.5
14
16.5
18.5
Author: rikazzz Comment
Measures Of Dispersion
If the scatter or dispersion in the distribution is less on each side then this indicates
high uniformity of data
dispersion of data
outliers of data
low uniformity of data
Author: rikazzz Comment

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