which of the following conditions must be met in order to make a statistical inference about a population…

which of the following conditions must be met in order to make a statistical inference about a population based on a sample if the sample does not come from a normally distributed population?\n\n$mugeq30$\n\n$\bar{x}geq30$\n\n$ngeq30$\n\n$ngeq30$

which of the following conditions must be met in order to make a statistical inference about a population based on a sample if the sample does not come from a normally distributed population?\n\n$mugeq30$\n\n$\bar{x}geq30$\n\n$ngeq30$\n\n$ngeq30$

Answer

Brief Explanations:

The Central Limit Theorem states that if the sample size (n) is large enough (usually (n\geq30)), the sampling distribution of the sample mean will be approximately normal regardless of the shape of the population distribution. Here, (\mu) is the population mean, (\bar{x}) is the sample mean, (n) is the sample - size, and (N) is the population size. The key condition for making statistical inferences when the population is not normally distributed is that the sample size (n) must be at least 30.

Answer:

C. (n\geq30)