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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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Probability Distributions
The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is
1925
6364
63.64
3500
Author:
rikazzz
Comment
Measures of Central Tendency
The measure of central tendency which is calculated by considering the most frequent occurring value as central value is classified as
central mode
mode
frequent value
percent value
Author:
rikazzz
Comment
Probability Distributions
The formula of variance of uniform or rectangular distribution is as
(b – a)² ⁄ 6
(b + a)² ⁄ 12
(b – a)³ ⁄ 8
(b + a)² ⁄ 2
Author:
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Comment
Moments, Skewness and Kurtosis
The statistical measures such as deciles, percentiles, median and quartiles are classified as part of
percentile system
quartile system
deciles system
moment system
Author:
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Sampling Distributions
If the standard deviation of the population is 35 and the sample size is 9 then the standard deviation of sampling distribution is
12.67
11.67
13.67
14.67
Author:
rikazzz
Comment
Probability Distributions
The types of probability distributions by taking their functions of considerations must include
posterior probability distribution
discrete probability distribution
continuous probability distribution
both b and c
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Introduction To Probability
The conditional probability of two events Y and Z written as P(Z|Y) = P(Y and Z) ⁄ P(A) shows that the events are
statistically dependent events
descriptive unaffected events
statistically independent events
statistically unaffected events
Author:
rikazzz
Comment
Probability Distributions
If the sample size is 6 and the population is 50 from which it is drawn without replacement and the elements for success are 22 then the variance of hyper geometric probability distribution is
1.388
2.388
3.388
4.388
Author:
rikazzz
Comment
Sampling Distributions
All the values in sample distribution that can freely varies in the selected random sample from population are indicated as
degree of freedom
degree of error
degree of statistic
degree of possibility
Author:
rikazzz
Comment
Measures Of Dispersion
The numbers or values that are considered independent of measurement units are called
coefficient
uniformity
variation
exploration
Author:
rikazzz
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