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The Mugenda and Mugenda sampling formula is used to determine the appropriate sample size for a study based on a specific population size and the desired margin of error. The formula accounts for the confidence level, population size, and the variability of the responses. It is particularly useful in Social Sciences for research involving large populations, ensuring that the sample accurately represents the larger group. The formula helps researchers make informed decisions about how many participants to include in their studies.
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How does Mugenda and Mugenda define sample size?
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What are the sources of sampling errors?
Sampling and Non sampling errors
What sampling method?
Random Sampling
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
