A subway train on the Red Line arrives every 8 minutes during rush hour. We are interested in the length of time a commuter must wait for a train to arrive. The time follows a uniform distribution.
Define the random variable.
Graph the probability distribution.
Find the probability that the commuter waits less than one minute.
Find the probability that the commuter waits between three and four minutes.
60% of commuters wait more than how long for the train? State this in a probability question (similar to
g and
h ), draw the picture, and find the probability.
The age of a first grader on September 1 at Garden Elementary School is uniformly distributed from 5.8 to 6.8 years. We randomly select one first grader from the class.
Define the random variable.
Graph the probability distribution.
Find the probability that she is over 6.5 years.
Find the probability that she is between 4 and 6 years.
Find the 70th percentile for the age of first graders on September 1 at Garden Elementary School.
Suppose that the length of long distance phone calls, measured in minutes, is known to have an exponential distribution with the average length of a call equal to 8 minutes.
Define the random variable.
Is
continuous or discrete?
Draw a graph of the probability distribution. Label the axes.
Find the probability that a phone call lasts less than 9 minutes.
Find the probability that a phone call lasts more than 9 minutes.
Find the probability that a phone call lasts between 7 and 9 minutes.
If 25 phone calls are made one after another, on average, what would you expect the total to be? Why?
Suppose that the useful life of a particular car battery, measured in months, decays with parameter 0.025. We are interested in the life of the battery.
Define the random variable.
Is
continuous or discrete?
On average, how long would you expect 1 car battery to last?
On average, how long would you expect 9 car batteries to last, if they are used one after another?
Find the probability that a car battery lasts more than 36 months.
The percent of persons (ages 5 and older) in each state who speak a language at home other than English is approximately exponentially distributed with a mean of 9.848 . Suppose we randomly pick a state. (Source: Bureau of the Census, U.S. Dept. of Commerce)
Define the random variable.
Is
continuous or discrete?
Draw a graph of the probability distribution. Label the axes.
Find the probability that the percent is less than 12.
Find the probability that the percent is between 8 and 14.
The percent of all individuals living in the United States who speak a language at home other than English is 13.8 .
The time (in years)
after reaching age 60 that it takes an individual to retire is approximately exponentially distributed with a mean of about 5 years. Suppose we randomly pick one retired individual. We are interested in the time after age 60 to retirement.
Define the random variable.
Is
continuous or discrete?
Draw a graph of the probability distribution. Label the axes.
Find the probability that the person retired after age 70.
Do more people retire before age 65 or after age 65?
In a room of 1000 people over age 80, how many do you expect will NOT have retired yet?
The next three questions refer to the following information. The average lifetime of a certain new cell phone is 3 years. The manufacturer will replace any cell phone failing within 2 years of the date of purchase. The lifetime of these cell phones is known to follow an exponential distribution.
The next three questions refer to the following information. The Sky Train from the terminal to the rental car and long term parking center is supposed to arrive every 8 minutes. The waiting times for the train are known to follow a uniform distribution.