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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 Dispersion
According to empirical rule, the standard deviation and mean interval that covers approximately 99.75% of data from a frequency distribution is
4μ±4σ
3μ±3σ
μ±3σ
2μ±2σ
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Probability Distributions
The type of continuous distribution in which the probability is constant is classified as
rectangular distribution
square distribution
open frequency distribution
class frequency distribution
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Data Classification and Presentation
The term used to describe frequency curve is
symmetrical distribution
symmetry and kurtosis
kurtosis of distribution
relative frequency curve
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Probability Distributions
If the parameter μ is 11 and the n of the gamma distribution is 50 then the variance of gamma distribution is
0.713
0.613
0.513
0.413
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Data Classification and Presentation
The data classification which is based on variables such as production, cost, height and weight is considered as
qualitative classification
quantitative classification
open end classification
time series classification
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Sampling Distributions
The type of sampling In which each element of population has equally likely chance of occurrence in a random sample is classified as
regular and irregular sampling
error free sampling
inertia sampling
simple random sampling
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Measures Of Dispersion
For a given set of number of customers who visit a shoes shop in 5 consecutive days, the mean absolute deviation is 10 then standard deviation of data set is
2
10
12.5
50
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Probability Distributions
The number of units multiply profit per unit multiply probability to calculate
discrete profit
expected profit
weighted profit
continuous profit
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Measures Of Dispersion
The measuring theorem which helps in determining proportion of observations for specific interval of mean and standard deviation is classified as
Pearson Theorem
Chebyshev’s Theorem
sampling theorem
population theorem
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Business Statistics Basics
Considering the sample statistic, if the mean of sampling distribution is equal to population mean then the sample statistic is classified as
unbiased estimator
biased estimator
interval estimator
hypothesis estimator
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