Stratified and Cluster Sampling Methods in Business Statistics

1. Stratified and Cluster Sampling Methods in Business Statistics www.myassignmentservices.com

2. Stratified Random Sampling Stratified random sampling is a technique in which you split a larger population into smaller groups. The groups should not overlap but they show the whole population.. During sampling, classify such groups on the basis of sex, age, ethinicity an dother factors. Then, take a sample from each group independently. If you face problem in solving assignment questions using this technique, reach out to experts providing business statistics assignment help. www.myassignmentservices.com

3. Example of Stratified Random Sampling Suppose there is a researcher who wants to do a survey on the characteristics of people from different annual income backgrounds. Then, divide these into groups based on their yearly family income. For example, using the class marks such as less than ₹30,000, ₹31,000–₹40,000, ₹41,000– ₹50,000, ₹51,000– ₹60,000, and so on. Next step is to come to conclusions about the features of persons from different socioeconomic groups. www.myassignmentservices.com

4. Cluster Sampling This is the approach that divides the population into different groups for research purposes. You can use this technique to study a sample that has various sample criteria like background, habits and other relevant traits on which research can be done. This method is ideal when a statistical population is divided into various groups and are comparable. Rather than selecting the entire population, this method allows you to collect data by splitting the data into smaller and more efficient groups. www.myassignmentservices.com

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