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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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Business Statistics Basics
The characteristics that are intended to be analyzed and investigated for a given population are classified as
exponents
constants
variables
exponential base
Author:
rikazzz
Comment
Introduction To Probability
The probability of second event in the situation if the first event has been occurred is classified as
series probability
conditional probability
joint probability
dependent probability
Author:
rikazzz
Comment
Business Statistics Basics
The group of observations for which better understanding is needed and the group is related to specific phenomenon is classified as
population
population statistic
phenomenon statistic
parameter statistic
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
According to notations used by R.A. Fisher, the value of beta one with square root is equivalent to
gamma four
gamma one
gamma two
gamma three
Author:
rikazzz
Comment
Probability Distributions
If the μ is equal to 25 then the value of mean for exponential probability distribution is
0.4
0.08
0.07
0.04
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
Considering the alpha and beta in moments, the measure of asymmetrical distribution is possible with
alpha three and beta one
alpha two and beta one
alpha three and beta four
alpha three and beta two
Author:
rikazzz
Comment
Measures Of Dispersion
If the arithmetic mean is multiplied to coefficient of variation then the resulting value is classified as
coefficient of deviation
coefficient of mean
standard deviation
variance
Author:
rikazzz
Comment
Probability Distributions
The formula such as mn ⁄ (m + n)² (m + n + 1) is used to calculate
variance in exponential distribution
variance in alpha distribution
variance in gamma distribution
variance in beta distribution
Author:
rikazzz
Comment
Sampling Distributions
In sampling distribution, the standard deviation must be equal to
σ + square root of sample size
σ * square root of sample size
σ – square root of sample size
σ ⁄ square root of sample size
Author:
rikazzz
Comment
Probability Distributions
The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution
1040
1340
1240
1140
Author:
rikazzz
Comment
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