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Data Classification and Presentation
65
Introduction To Probability
64
Measures Of Dispersion
97
Measures of Central Tendency
71
Business Statistics Basics
85
Probability Distributions
83
Sampling Distributions
53
Moments, Skewness and Kurtosis
58
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Measures of Central Tendency
If the central tendency is found by using sample data from population then this is classified as
tendency statistic
average statistic
sample statistic
population statistic
Author:
rikazzz
Comment
Measures Of Dispersion
The variability measuring tool in which the standard deviation is divided by arithmetic mean and multiplied by 100 is classified as
coefficient of variation
coefficient of standard deviation
coefficient of deviation
coefficient of mean
Author:
rikazzz
Comment
Measures of Central Tendency
The distribution in which the values of median, mean and mode are not equal is considered as
experimental distribution
asymmetrical distribution
symmetrical distribution
exploratory distribution
Author:
rikazzz
Comment
Business Statistics Basics
The collection of all the elements such as group of variables for research is classified as
statistical process
marginal error
data
population
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
If for a distribution the difference of first quartile and median is greater than difference of median and third quartile then the distribution is classified as
absolute open ended
positively skewed
negatively skewed
not skewed at all
Author:
rikazzz
Comment
Measures of Central Tendency
The marks of Cambridge univerdity students in mathematics test out of 20 are 18, 17, 16, 15, 14, 17, 16, 14, 13, 12, 12, 11, 14, 19, 18
14
14.5
15
13
Author:
rikazzz
Comment
Introduction To Probability
In probability theory, the events are denoted by
Greek letters
capital letters
small letters
Latin letters
Author:
rikazzz
Comment
Probability Distributions
In standard normal probability distribution, the z-score of distribution will be zero if
x < μ
x > μ
x = μ
all of above
Author:
rikazzz
Comment
Probability Distributions
If the value of m in beta distribution is 5 and the value of n is 25 then the standard deviation of beta distribution is
0.067
0.057
0.047
0.077
Author:
rikazzz
Comment
Measures Of Dispersion
The formula in which Σ(x-x̅)² is divided by one less than number of observations in sample is classified as
coefficient of deviation
mean variance
sample variance
population variance
Author:
rikazzz
Comment
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