In the case of sampling variables each member of the population provides the value of the variable and the aggregate of these values forms the frequency distribution of the population. From the population, a random sample of size n can be drawn by any of the sampling methods discussed before which is same as choosing n values of the given variables from the distribution.

Let x1, x2,…… xn be a random sample of size n from a large population X1, X2,……………. XN with mean μ and variance σ2. Then the sample mean () and variance (s2) are given by

In particular,

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- Procedure for testing of hypothesis
- Test Of Significance For Large Samples
- Sampling Of Attributes
- Test of significance for difference of proportions
- Sampling of Variables
- Standard Error Of Sample Mean
- Test Of Significance For Single Mean
- Test Of Significance For Difference Of Means
- Test Of Significance For The Difference Of Standard Deviations

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