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?\nμ≥30\nx̄≥30\nn≥30\nn≥30

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?\nμ≥30\nx̄≥30\nn≥30\nn≥30

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, even if the population is not normally distributed. Here, $\mu$ represents the population mean, $\bar{x}$ represents the sample mean, $n$ represents the sample size, and $N$ represents the population size. The key condition for making statistical inferences when the population is non - normal is related to the sample size $n$.

Answer:

C. $n\geq30$