4. Probability

Which two essential features are present in all statistically designed experiments?

In the context of probability, what does it mean when sampling is done without replacement?

A simple random sample from an infinite population is a sample selected such that:

In the context of basic probability, does a $probability$ distribution function always have to be defined by a mathematical formula with parameters?

Which of the following is an advantage of using surveys for data collection in probability studies?

Are data at the $\mathrm{nominal}$ level of measurement considered $\mathrm{quantitative}$ or $\mathrm{qualitative}$?

In the context of probability, which of the following best describes a $\mathrm{marginal}$ distribution as compared to a $\mathrm{conditional}$ distribution?

If you roll a fair $6$-sided die, what is the probability of the complement of the event $“$rolling a number less than $5$$”$?

In probability theory, what is the main difference between an $\mathrm{outcome}$ and an $\mathrm{event}$?

In the context of a $p$ chart, which of the following best describes the assumption about the sample size for each subgroup?

Which of the following best defines a binary variable?

In probability, what is the probability of an event that occurs $16$ times out of $25$ equally likely trials?