4. Probability

Suppose the probability that a flight is on time is $P(ext\{on\; time\})\; =0.70$, the probability that it is less than $5$ minutes late is $P(ext\{less\; than\; \}5ext\{\; min\; late\})\; =0.15$, and the probability that it is more than $5$ minutes late is $P(ext\{more\; than\; \}5ext\{\; min\; late\})\; =0.15$. What is the probability that the flight will be no more than $5$ minutes late (to 2 decimals)?

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

In the context of probability and statistics, what does the error (accuracy of a poll) expressed as a $\pm$ percentage most commonly represent?

Which of the following is classified as ordinal-level data?

In Exercises 21-28, find the probability and answer the questions.

Genetics: Eye Color Each of two parents has the genotype brown/blue, which consists of the pair of alleles that determine eye color, and each parent contributes one of those alleles to a child. Assume that if the child has at least one brown allele, that color will dominate and the eyes will be brown. (The actual determination of eye color is more complicated than that.)

b. What is the probability that a child of these parents will have the blue/blue genotype?

Statistical methods are most effective for analyzing which type of data?

Given that $x$ has a Poisson distribution with parameter $\lambda$, which of the following is the correct expression for the probability that $x$ equals $k$?

Given the following probability distribution, determine whether it is a discrete probability distribution: $x$: $1$, $2$, $3$; $P\left(x\right)$: $0.2$, $0.5$, $0.3$.

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

Suppose the probability of getting a job interview from a single application is $p$, and you submit $n$ independent applications. Which expression gives the probability of getting at least one interview if you submit between $1$ and $10$ applications?

If the hourly wage of detasselers is normally distributed with a mean of $\backslash (13$ and a standard deviation of $\backslash )2$, what is the probability that a randomly selected detasseler makes less than $\$13$ per hour? Express your answer as $p(z<0.5)$.

Which of the following statements about the population proportion $p$ and sample proportion $p$ is correct?

Which of the following best describes the difference between a stratified sample and a cluster sample?

Suppose $x$ has a uniform distribution on the interval $[0,1]$. What is the probability that $x<0.25$?