Sampling error increases with an increase in the size of the sample
Standard deviation of a sampling distribution is it self the standard error.
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The magnitude of standard error increase both by absolute and relative size of the sample.
In stratified sampling, the sampling is subdivided into several parts, called
Random numbers are also called Random sampling number Rs.
Standard error of mean may be defined as the standard deviation in the sampling distribution of
If random sampling with replacement is applied, then the mean of sample means will be ______ the population mean
The sample proportion is taken as an estimate of the population proportion of defectives
The main object of sampling is to state the limits of accuracy of estimates base on samples
__________ sampling is the most appropriate in cases when the population is more or less homogeneous with respect to the characteristic under study
___________________ sampling is absolutely free from the influence of human bias
The standard deviation in the sampling deviation is called
Standard error is used to set confidence limits for population parameter and in tests of significance
In _______ estimation, the estimate is given by a single quantity
The estimate of the parameter is stated as on interval with a specified degree of
The interval bounded by upper and lower limits is known as
A die was thrown 400 times and ‘six’ resulted 80 times then observed value of proportion is
The magnitude of standard error increases both by absolute and relative size of the sample.
The standard deviation of sampling distribution is known as:
A parameter may be defined as a characteristic of a population based on ____________ of the population
It is know that the 95%LCL and UCL to population mean area 48.04 and 51.96 respectively. If the sample size is 100, what will be the value of the population S.D.
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1365 videos|1312 docs|1010 tests
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