4. Probability

In probability theory, when is it appropriate to calculate the $\mathrm{expected value}$ of a random variable?

Which of the following is one way to get consistent, valid data in probability experiments?

In the context of probability and data distributions, which type of distribution is most likely to have a $\mathrm{mean}$ and $\mathrm{median}$ that are not close in value?

If Myron receives $10$ votes from his class of $25$ students, what percentage of the votes does he receive?

In the context of probability and statistics, what is the reasoning process called that moves from a number of particular facts or observations to a general conclusion?

In the context of probability, which type of probability assessment is based on repeatable, measurable data from experiments or observations?

Which of the following statements about probability is not true?

Which of the following best describes the difference between $univariate$ data and $bivariate$ data?

$$Which of the following is not a requirement of the binomial probability distribution?$$

Statistics can promote limitations in perception in all of the following ways except by __________.

In the context of regression analysis, which of the following best describes the requirements for independent and dependent variables?

Why is it important to be skeptical of statistical results reported in the media?

Which of the following best describes the probability of an event A, denoted as $P\left(A\right)$?

Sampling error best fits which of the following descriptions?

If the probability of an event is $p=0.6$, what is the probability that the event does not occur?