8. Sampling Distributions & Confidence Intervals: Proportion

Why is a sample used more often than a population when studying the sampling distribution of the sample proportion $p^$?

Which of the following best describes the relationship between a sample and a population in the context of the sampling distribution of the sample proportion $p^$?

Which of the following is not a voluntary response sample?

Which of the following is not a voluntary response sample?

Which of the following samples is most likely to fairly represent the population when estimating a sample proportion $p$?

Which of the following sample sizes will more accurately represent the population when estimating a sample proportion $p$?

Why is a $\mathrm{sample}$ used more often than a $\mathrm{population}$ when studying the sampling distribution of the sample proportion $p$?

Why is a $\mathrm{sample}$ used more often than a $\mathrm{population}$ when studying the sampling distribution of the $\mathrm{sample} \mathrm{proportion}$?

Which of the following is not a voluntary response sample?

Which of the following statements about a sampling distribution of the sample proportion is true?

In which of the following situations can the sampling distribution of the sample proportion be safely approximated by a normal distribution?

Which of the following best describes the relationship between a sample and a population in the context of the sampling distribution of the sample proportion?

Which of the following best describes the relationship between a $\mathrm{sample}$ and a $\mathrm{population}$ in the context of the sampling distribution of the sample proportion?