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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 5.2.16

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 at least 6 of the selected consumers believe that cash will be obsolete in the next 20 years.

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Step 1: Identify the type of probability distribution involved. Since the problem involves a fixed number of trials (8 consumers), each with two possible outcomes (believe or not believe), and a constant probability of success (40%), this is a binomial probability problem.
Step 2: Define the parameters of the binomial distribution. The number of trials (n) is 8, the probability of success (p) is 0.40, and the number of successes (x) is at least 6.
Step 3: Express the probability of 'at least 6 successes' mathematically. This can be written as P(X ≥ 6), which is equivalent to P(X = 6) + P(X = 7) + P(X = 8).
Step 4: Use the binomial probability formula to calculate each term. The formula is: P(X = x) = (n choose x) * p^x * (1-p)^(n-x), where (n choose x) = n! / [x! * (n-x)!]. Substitute the values for n, p, and x into the formula for each case (x = 6, x = 7, x = 8).
Step 5: Add the probabilities for P(X = 6), P(X = 7), and P(X = 8) to find the total probability. This will give the probability that at least 6 of the selected consumers believe that cash will be obsolete in the next 20 years.

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Key Concepts

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

Binomial Distribution

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, where each trial has two possible outcomes. In this context, each consumer's belief about cash being obsolete represents a trial, with 'success' being a consumer who believes cash will be obsolete. The parameters of the distribution include the number of trials (n) and the probability of success (p).
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Cumulative Probability

Cumulative probability refers to the probability that a random variable takes on a value less than or equal to a certain threshold. In this question, we need to calculate the probability of at least 6 consumers believing in the obsolescence of cash, which involves summing the probabilities of exactly 6, 7, and 8 consumers believing this, as these outcomes meet the 'at least' condition.
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Complement Rule

The complement rule in probability states that the probability of an event occurring is equal to one minus the probability of it not occurring. In this scenario, instead of directly calculating the probability of at least 6 consumers believing cash will be obsolete, one could calculate the probability of 0 to 5 consumers believing this and subtract that from 1, simplifying the calculation.
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Related Practice
Textbook Question

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).

Using Probabilities for Significant Events


a. Find the probability of getting exactly 3 drivers who say that they text while driving.


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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

Identifying Discrete and Continuous Random Variables. In Exercises 5 and 6, refer to the given values, then identify which of the following is most appropriate: discrete random variable, continuous random variable, or not a random variable.




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

Exercises 33 and 34 involve the method of composite sampling, whereby a medical testing laboratory saves time and money by combining blood samples for tests so that only one test is conducted for several people. A combined sample tests positive if at least one person has the disease. If a combined sample tests positive, then individual blood tests are used to identify the individual with the disease or disorder.


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

Stem Cell Survey In a Newsweek poll of 882 adults, 481 (or 55%) said that they were in favor of using federal tax money to fund medical research using stem cells obtained from human embryos. A politician claims that people don’t really understand the stem cell issue and their responses to such questions are random responses equivalent to a coin toss. Use the following probabilities related to determining whether the result of 481 is significantly high (assuming the true rate is 50%). Is 481 significantly high? What should be concluded about the politician’s claim? Explain.


P(respondent says to use the federal tax money) = 0.5

P(among 882, exactly 481 says to use federal tax money) = 0.000713

P(among 882,481 or more say to use federal tax money) = 0.00389

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.


In a Pew Research Center survey, 3930 subjects were asked if they have ever fired a gun, and the responses consist of “yes” or “no.”

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