Sample Size Formula

What is Sample Size Formula?

The meaning of sample size in the arena of statistics is the count of the total number of samples that are been considered in the process of any sort of testing or an experiment.

The process of gathering, assembling, evaluating and briefing the data is known as the process of statistics. In this process of statistics, the data that is considered for the testing or for the experiment is of the two segments in their nature. Those two segments are,

(i) Population form of data

(ii) Sample form of data

Population form of data: The data in which there is an involvement of the entire area of study is known as the study of population data. The sample size that is been considered here is larger in number and is known by the term named population. In this type of study, the term population means all the terms that are considered for the study. The term may be identical in nature or it may be non-identical but it is considered to be one population during the course of the study.

Sample form of data: The sample form of data is one single portion of the samples that is been considered in the population form of data. Here the sample size that will be considered for the study is not as large as it will be in the population form of data. As mentioned earlier it is the study of only a part of the portion of the population form of data.

Sample Size Formula

SS = Z to the square P * (1-P) / C square

In the above-mentioned formula,

SS – Sample Soze

Z – Value

P – Percentage of Population

C – Confidence Interval

Important formulas: