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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 value of three measures of central tendencies median, mean and mode then the distribution is considered as
negatively skewed modal
triangular model
unimodel
bimodel
Author:
rikazzz
Comment
Introduction To Probability
The probability without any conditions of occurrence of an event is considered as
conditional probability
marginal probability
non conditional probability
occurrence probability
Author:
rikazzz
Comment
Measures of Central Tendency
The manner in which the geometric mean, harmonic mean and arithmetic mean are related is as
A.M>G.M>H.M
A.M>G.M
A.M
A.M
H.M
Author:
rikazzz
Comment
Measures Of Dispersion
If the standard deviation is 7 then mean absolute deviation is
9.75
5.6
7
8.75
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rikazzz
Comment
Probability Distributions
The formula of calculating mean for the negative binomial probability distribution is
q ⁄ p
P ⁄ Q
p ⁄ r
r ⁄ p
Author:
rikazzz
Comment
Measures of Central Tendency
The frequency distribution whose most values are dispersed to the left or right of the mode is classified as
skewed
explored
bimodal
unimodal
Author:
rikazzz
Comment
Probability Distributions
The formula of mean of uniform or rectangular distribution is as
mean = 4(b + a) ⁄ 2b
mean = (b + a) ⁄ 2
mean = (b – 2a) ⁄ 4
mean = (2a + 2b) ⁄ 2a
Author:
rikazzz
Comment
Probability Distributions
In random experiment, the observations of random variable are classified as
events
composition
trials
functions
Author:
rikazzz
Comment
Measures Of Dispersion
Considering the set of observations, the percentage of values that lies within population mean plus two standard deviations is
60%
55%
75%
85%
Author:
rikazzz
Comment
Data Classification and Presentation
If each value of frequency distribution is divided by total number of recorded observations in distribution then the resultant value is called
interval frequency distribution
percentage frequency distribution
nominal frequency distribution
ordinal frequency distribution
Author:
rikazzz
Comment
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