Q. In sample distribution, the degree of freedom is calculated as

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Q. The bias which occurs when the randomly drawn sample from population fails to represent whole population is classified as

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Q. If the proportion of population is 10.5 then the proportion mean of sampling distribution is

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Q. The value of estimator is subtracted from mean and then divided by standard deviation to calculate

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Q. In statistical analysis, the sample size is considered small if

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Q. The sample statistics are denoted by the

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Q. The procedure in which the number of elements in stratum are not in proportional to the number of elements in population is classified as

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Q. The method of sampling in which the random sampling will not be possible because the population is widely spread is classified as

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Q. In sampling distribution, the standard deviation must be equal to

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Q. The elements in sample with specific characteristics is divided to sample size to calculate

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Q. The method of random sampling which is also called area sampling method is classified as

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Q. In sampling, the measures such as variance, mean, standard deviation are considered as

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Q. If the value of p is 0.70 and the sample size is 28 then the value of standard deviation of sample proportion is

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Q. The quota sampling, judgment sampling and convenience sampling are classified as types of

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