    Like us for free help* Tweet   # Statistics Sampling Demonstration WELCOME to Tutorteddy.com. This is a REAL site intended to help students in statistics courses. We function as online statistics tutor in a similar manner as a statistics class. online statistics help are provided to the students, researchers, etc. Our experts aid you to learn statistics and also give guidance to your homework and assignments. Statistics help provided by us will help you to learn the subject more precisely.

### Introduction : Sampling Demonstration

It is recommended that before simulation one should start answering the questions. #### General Instructions

In the demonstration we make a comparison between the simple random sampling and stratified sampling.

A common and mostly used random sampling is the simple random sampling. In this sampling procedure the sample is chosen through randomization. That is to say a random selection is made from the population. So each subject present in the population is likely to have an equal chance of being selected in the sample and thus all the possible samples are equally probable of being selected. Where as in case of stratified sampling the concept of strata is taken into consideration .In this method of sampling subjects of the population are put into strata. After which the random sample is selected from each of the strata.

#### Steps of Simple Random Sampling:

• Each of the members of the population is assigned a numeric label.

• The numeric labels are selected at random by using software or random number table. #### Steps of Stratified Random Sampling:

• Population is defined.

• Relevant Stratification is performed.

• The population is listed.

• In accordance to stratification the population is listed.

• The sample size is chosen.

• Proportionate stratification is computed.

• A simple random sample is used to select the sample.

#### Summary

In random sampling if a small sample size is taken into consideration the sample will be quite different from the population in terms of composition. However this does not nullify the use of the random sampling. This is because statistical processes consider randomness. Now by definition in stratified sampling the composition of sample match with the population for the variables which are stratified.

#### Questions

Thus statistics learning is quite important now a days, it has a wide variety of applications in almost every field of study and research. So just contact us and we will provide you online statistic help.  TutorTeddy.com & Boston Predictive Analytics

[ Email your Statistics or Math problems to tutor@aafter.com (camera phone photos are OK) ]

Boston Office (Near MIT/Kendall 'T'):
Cambridge Innovation Center, 