Statistics

Moments, Skewness and Kurtosis
The distribution whose mode is not well defined and the classes of distribution are open ended uses the coefficient of skewness by
Karl Pearson
Professor Kelly
Professor Keller
Professor Bowley
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Moments, Skewness and Kurtosis
If for a distribution the difference of first quartile and median is less than difference of median and third quartile then the distribution is classified as
negatively skewed
not skewed at all
absolute open ended
positively skewed
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Measures Of Dispersion
The arithmetic mean is multiplied to the coefficient of mean absolute deviation to calculate the
absolute mean deviation
absolute median deviation
relative mean deviation
relative median deviation
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Introduction To Probability
The event such as equal chance of heads or tails while tossing the coin is an example of
numerical events
equally likely events
unequal events
non-numerical events
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Measures Of Dispersion
The value of third quartile is 61 and inter quartile range of the set of observation is 48 then value of first quartile is
24
34
64
13
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Measures of Central Tendency
The arithmetic mean is 12 and the number of observations are 20 then the sum of all the values is
8
32
240
1.667
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Sampling Distributions
The measures in sampling that are results of sample analyses are called
absolute statistics parameter
coverage estimators
population statistics
sample statistic
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Business Statistics Basics
The measurement of how well the particular concept and technique measures the variables is classified as
reliability
validity
continuity of variables
goodness of variables
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Moments, Skewness and Kurtosis
The frequency distribution is considered as negatively skewed if all the values of distribution moves to
lower tail
median tail
variance tail
upper tail
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Business Statistics Basics
In the response questionnaires, the questions which requires reflections from respondents side are called
reflection questions
responsive questions
opinion questions
reliability questions
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