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Measures of Central Tendency
48
Measures of Dispersion
49
Corelation and Regression
48
Introduction to Statistics
50
Statistical Inference
41
Probability Distribution
47
Sampling Techniques
47
Statistical Packages For Social Science
0
Statistical Methods
0
Business Statistics
576
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Measures of Central Tendency
The median, mode, deciles and percentiles are all considered as measures of
mathematical averages
population averages
sample averages
averages of position
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Probability Distributions
The class of variable which can accept any value within the upper and lower limit is classified as
posterior random variable
interior random variable
discrete random variable
continuous random variable
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Introduction To Probability
The types of probabilities for independent events must includes
joint events
marginal events
conditional events
all of above
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Business Statistics Basics
The scale which is used to determine the ratios equality is considered as
satisfactory scale
ratio scale
goodness scale
exponential scale
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Probability Distributions
The standard normal probability distribution has mean equal to 40, whereas the value of random variable x is 80 and the z-statistic is equal to 1.8 then the standard deviation of standard normal probability distribution is
120
80
40
20
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Measures Of Dispersion
The formula of coefficient of range is
L+L⁄H+H
H+H⁄L+L
H-L⁄H+L
H+l⁄H-L
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Sampling Distributions
The theorem which states that as the sample size increases the sampling distribution must approach the normal distribution is classified as
limited approximation theorem
secondary limit theorem
primary limit theorem
central limit theorem
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Data Classification and Presentation
The discrete variables and continuous variables are two types of
open end classification
time series classification
qualitative classification
quantitative classification
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Measures Of Dispersion
The sum of highest and lowest value is 80 and the coefficient of range is 0.625 then the difference between highest and lowest value is
70
100
150
50
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Moments, Skewness and Kurtosis
As compared to measures of variation, the measure of skewness is used to understand concentration of
values around mean
upper tail only
lower tail only
median coefficients
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