Distinguish between the following and give an example each:a. Stratified sampling and Cluster samplingb. Random sampling and system samplingc. Type I error and Type II error.d. Population and samplee. Parameter and statisticf. Sampling frame and target populationg. Normal distribution and standard normal distribution
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Cluster Sampling - Stratified Sampling: This method involves dividing the population into non-overlapping, homogeneous subgroups or strata, and then randomly selecting samples from each stratum. Example: In a university with different faculties (engineering, arts, Show more…
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