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The sample mean sampling distribution is particularly valuable since it can tell us the likelihood of receiving any certain mean from a random sample.
The sampling distribution is the distribution of all potential values that a statistic might have, calculated using samples of the same size selected at random from the same population. It specifies ALL POSSIBLE VALUES that the statistic can assume!
Inferential statistics rely heavily on sampling distributions. In practice, one will collect sample data and estimate population distribution parameters based on these data. As a result, knowing the sampling distribution can help you make assumptions about the whole population.
When doing research or obtaining statistical data, this helps to eliminate unpredictability. It also makes data simpler to organize and lays the groundwork for statistical inferencing, which leads to drawing population-wide inferences.
What is ramdom sampling distribution of the sample brainly.ph/question/14740091
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