4. Probability

Which of the following best explains how $probability$ can help a salesperson forecast future sales?

Let $x$ be a continuous random variable with probability density function $f\left(x\right)$. Which of the following statements is true about $f\left(x\right)$ for all $x$?

Which of the following is not a level of measurement in statistics?

Which of the following is true of the exponential smoothing coefficient $\alpha$ in time series forecasting?

Which of the following is a criterion for a binomial probability experiment?

Which of the following statements best describes the relationship between $\mathrm{validity}$ and $\mathrm{reliability}$ in the context of probability and statistics?

Which of the following best describes the difference between relative frequency $f=\frac{n}{N}$ and cumulative frequency $F$ in probability?

Which of the following describes a compound event in probability?

In the context of probability and statistics, what is the term for data that have been collected for some purpose other than the problem at hand?

Which of the following is correct about a probability distribution?

In the context of probability, what does it mean to say that the trials of an experiment are independent?

Which of the following best describes the difference between random selection and nonrandom selection in probability studies?

In the context of basic probability concepts, if a value is $\frac{19}{95}$, what percent of the total does this represent?

Which term refers to data that have a relationship with the answer needed in a probability study?

Which of the following best represents a population and a sample from that population?