stratified sample

Stratified sample statistics is one of the method in probability sampling in statistics. The stratified sample statistics having another name which is called proportional or quota sample statistics. In this we are dividing our population into homogeneous subgroups and we are taking a sample random sample from each sample groups. This is called simple sample statistics. It is one of the important approach which gives the more precise estimates but not in all times.

Strategies of Stratified Sample Statistics:

Sampling fraction of each of the strata used by the proportional allocation which is proportional to the total population. Let us consider an example

If the total population consists of 40% of mens and 60% women then the relative size of the above population is 2 women and 3 mens. It will reflect the proportion.

2. If the stratum is proportionate to the standard deviation of the each variable mean then it is called optimum allocation. In this we will take the large samples into the strata with the highest variability to generate least possible variance.

In our next blog we shall learn about "implicit definition"

I hope the above explanation was useful.Keep reading and leave your comments.