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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
In the deciles, the central tendency median to be measured must lie in
fourth deciles
seventh deciles
sixth deciles
fifth deciles
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
The moment about mean which is considered as measure of dispersion and is equivalent to variance is called
eighth moment
fifth moment
first moment
second moment
Author:
rikazzz
Comment
Probability Distributions
The value which is used to measure the distance between mean and random variable x in terms of standard deviation is called
z-value
variance
probability of x
density function of x
Author:
rikazzz
Comment
Data Classification and Presentation
If the midpoints of bars on the charts are marked and marked dots are joined by a straight line then this graph is classified as
class interval polygon
paired polygon
marked polygon
frequency polygon
Author:
rikazzz
Comment
Measures of Central Tendency
The number of observations are 11 and the value of arithmetic mean is 19 then sum of all values is
209
30
8
173
Author:
rikazzz
Comment
Probability Distributions
In binomial probability distribution, the dependents of standard deviations must includes
probability of q
probability of p
trials
all of above
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
In kurtosis, the frequency curve which is also classified as normal curve is called
mega curve
mesokurtic
leptokurtic
platykurtic
Author:
rikazzz
Comment
Measures of Central Tendency
If the most repeated observations recorded are outliers of data then the mode is considered as
intended measure
percentage measure
best measure
poor measure
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
For the grouped data in calculation of moments from mean, the formula to calculate this measure is
2⁄n Σn(x+mean)r
2⁄n Σn(x+mean)x
1⁄n Σf(x-mean)r
2⁄n Σf(x-mean)r
Author:
rikazzz
Comment
Probability Distributions
In binomial probability distribution, the success and failure generated by the trial is respectively denoted by
p and q
a and b
p + q
p – q
Author:
rikazzz
Comment
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