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Ch. 5 - Discrete Probability Distributions
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
Chapter 5, Problem 5.1.22

Texting and Driving. In Exercises 21–26, refer to the accompanying table, which describes probabilities for groups of five drivers. The random variable x is the number of drivers in a group who say that they text while driving (based on data from an Arity survey of drivers).
"Table showing probabilities of 0 to 5 drivers texting while driving, with values ranging from 0.066 to 0.013."
Range Rule of Thumb for Significant Events Use the range rule of thumb to determine whether 4 is a significantly high number of drivers who say that they text while driving.

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Step 1: Understand the Range Rule of Thumb. This rule states that values are considered significantly high if they are greater than or equal to the mean plus two standard deviations, and significantly low if they are less than or equal to the mean minus two standard deviations.
Step 2: Calculate the mean (μ) of the random variable x. Use the formula μ = Σ[x * P(x)], where x represents the number of drivers and P(x) represents the probability associated with each x value.
Step 3: Calculate the standard deviation (σ) using the formula σ = √Σ[(x - μ)^2 * P(x)]. This measures the spread of the data around the mean.
Step 4: Determine the threshold for significantly high values using the formula μ + 2σ. Compare the value of 4 (the number of drivers who say they text while driving) to this threshold.
Step 5: Interpret the result. If 4 is greater than or equal to μ + 2σ, it is considered significantly high. Otherwise, it is not considered significantly high.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Random Variable

A random variable is a numerical outcome of a random phenomenon. In this context, the random variable x represents the number of drivers in a group of five who report texting while driving. Understanding random variables is crucial for analyzing probabilities and making inferences about populations based on sample data.
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Probability Distribution

A probability distribution describes how probabilities are assigned to each possible value of a random variable. The table provided shows the probability distribution for the random variable x, indicating the likelihood of 0 to 5 drivers texting while driving. This distribution is essential for calculating expected values and assessing the significance of observed outcomes.
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Range Rule of Thumb

The range rule of thumb is a guideline used to determine whether a value is significantly high or low in a given context. It suggests that values beyond two standard deviations from the mean can be considered significant. In this case, applying the range rule helps assess whether having 4 drivers texting while driving is an unusual occurrence based on the provided probabilities.
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Related Practice
Textbook Question

40% of consumers believe that cash will be obsolete in the next 20 years (based on a survey by J.P. Morgan Chase). In each of Exercises 15–20, assume that 8 consumers are randomly selected. Find the indicated probability.


Find the probability that fewer than 3 of the selected consumers believe that cash will be obsolete in the next 20 years.

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Textbook Question

In Exercises 25–28, find the probabilities and answer the questions.


Whitus v. Georgia In the classic legal case of Whitus v. Georgia, a jury pool of 90 people was supposed to be randomly selected from a population in which 27% were minorities. Among the 90 people selected, 7 were minorities. Find the probability of getting 7 or fewer minorities if the jury pool was randomly selected. Is the result of 7 minorities significantly low? What does the result suggest about the jury selection process?

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Textbook Question

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a. IQ scores of statistics students

b. Exact heights of statistics students

c. Shoe sizes (such as 8 or 8½) of statistics students

d. Majors (such as history) of statistics students

e. The number of rolls of a die required for a statistics student to get the number 4

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Textbook Question

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HIV It is estimated that in the United States, the proportion of people infected with the human immunodeficiency virus (HIV) is 0.00343. In tests for HIV, blood samples from 50 different people are combined. What is the probability that the combined sample tests positive for HIV? Is it unlikely for such a combined sample to test positive?

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Textbook Question

In Exercises 9–16, use the Poisson distribution to find the indicated probabilities.


Murders In a recent year (365 days), there were 650 murders in Chicago. Find the mean number of murders per day, then use that result to find the probability that in a single day, there are no murders. Would 0 murders in a single day be a significantly low number of murders?

Textbook Question

In Exercises 5–12, determine whether the given procedure results in a binomial distribution or a distribution that can be treated as binomial (by applying the 5% guideline for cumbersome calculations). For those that are not binomial and cannot be treated as binomial, identify at least one requirement that is not satisfied.


LOL In a U.S. Cellular survey of 500 smartphone users, subjects are asked if they find abbreviations (such as LOL or BFF) annoying, and each response was recorded as “yes,” “no,” or “not sure.”

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