What is sampling? How do you classify sampling? Explain random, stratified and cluster sampling.
Sampling is the process of selecting units (e.g., people, organizations) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen.
Random sample
The term random has a very precise meaning. Each individual in the population of interest has an equal likelihood of selection. This is a very strict meaning -- you can't just collect responses on the street and have a random sample.
The assumption of an equal chance of selection means that sources such as a telephone book or voter registration lists are not adequate for providing a random sample of a community. In both these cases there will
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Analytic study- Descriptive study
What is sampling? How do you classify sampling? Explain random, stratified and cluster sampling.
Give below is the haemoglobin level recorded for 12 subjects in a community study:
Calculate the mean, standard deviation and variance for the haemoglobin levels reported above.
List the various types of tools available for data collection while undertaking research.
Briefly describe how can you ensure the quality of data collected is sound.
Tests
What do you understand by formulating a hypothesis? Briefly discuss the different forms of hypothesis.