Quantitative Methods Questions
Sampling distribution in statistics refers to the distribution of a statistic, such as the mean or proportion, calculated from multiple random samples of the same size taken from a population. It provides information about the variability and characteristics of the statistic across different samples. The sampling distribution is important because it allows us to make inferences about the population parameter based on the sample statistic, and it helps us assess the accuracy and precision of our estimates.