Why are sampling distributions important to the study of inferential statistics? In your answer, demonstrate your understanding by providing an example of a sampling distribution from an area such as business, sports, medicine, social science, or another area with which you are familiar. Remember to cite your resources and use your own words in your explanation.
A Sampling distribution refers to the probability distribution of a sample drawn from its population and that is used determine the statistic value in the context of population.
Sampling distribution is important to the study of inferential statistics because in inferential statistics the information is generalized from a sample to the population. Therefore, the sampling distribution must be a fair representative of the population.
For example, the average score of an opening batsman of any country in one-day matches. The sample must include 20 opening batsman covering top 10 cricket playing nations so that a better estimate can be determined for the population.
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