Sample Size Calculation - Statswork

## Sample Size Calculation

##### It is not just a theoretical way to calculate the sample size where our Statswork experts ensure they provide you with the sample size only with the research back-up. We analyze the existing studies on your research objective and do a comparative study. Based on the limitations of the existing studies and using other parameters, we decide the price quote. Here is the way how we calculate the sample size. #### Method (i) Sample size (n) is calculated through margin error formula where ME= Margin Error, z value, is the prior judgment of the correct value of p.
W.K.T. Margin Error = 1.96 (Standard Error) Hence Sample size #### Method (ii) Sample size calculated from population mean where ME = Margin Error, t= t-value based on the level of significance, s=standard deviation and n = sample size Now, we want to calculate n, #### Simple Random Sampling (Srs)

Point and Variance Estimation for a Proportion Assuming SRS Point estimate for simple random sampling #### Stratified sampling

##### Variance estimate for simple random sampling Formula for calculating the design effect (deff)

#### Sample Size Calculation for Simple Random Sampling

Sample size formula for simple random sampling (SRS) with the finite population correction factor (fpc) #### Judgment sampling In this method, the subset will be selected by the researchers on the basis of their judgment. This method is often preferred by researcher while evaluating the technical issues in sampling technique. The selected participants will be posed in the best position to achieve better solution (Saunders, 2003). In order to ensure that the chosen sample was an envoy of the complete statistically significant population it is essential to measure the size of the population. Sampling occupies any part of a target population or universe as a representative of that population or universe (Kerlinger 1996). 