Sampling Distributions
In sampling distribution, the standard deviation must be equal to
σ + square root of sample size
σ * square root of sample size
σ – square root of sample size
σ ⁄ square root of sample size
σ ⁄ square root of sample size
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The standard deviation of a sampling distribution is also classified asA. standard error
B. statistic error
C. sampling error
D. probability error
If the proportion of population is 10.5 then the proportion mean of sampling distribution is
A. 10.5
B. 12.5
C. 15.5
D. 18.5
The mistakes or biases which are considered as causes of non-sampling errors must includes
A. incorrect enumeration of population
B. non random sample selection
C. incomplete questionnaire
D. all of above
If the p is equal to 0.65, the value of N is 25000 whereas the sample size is 50 then the value of standard deviation of sample proportion is
A. 0.0056
B. 0.0045
C. 0.0065
D. 0.045
The type of stratified proportion sampling in which the information is gathered on convenience basis from different groups of population is classified as
A. purposive sampling
B. judgment sampling
C. quota sampling
D. convenience sampling
If the mean of population is 25 then the mean of sampling distribution is
A. 25
B. 5
C. 30
D. 35
The methods in statistics that uses sample statistics to estimate the parameters of the population are considered as
A. inferential statistics
B. absolute statistics
C. coverage statistics
D. random sample statistics
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