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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 5.2.15

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

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Step 1: Recognize that this is a binomial probability problem. The binomial distribution is used when there are a fixed number of trials (n), each trial has two possible outcomes (success or failure), the probability of success (p) is constant, and the trials are independent.
Step 2: Identify the given values from the problem. Here, the number of trials (n) is 8, the probability of success (p) is 0.40 (40%), and the number of successes (x) we are interested in is 6.
Step 3: Write the formula for the binomial probability: P(X = x) = (n choose x) * p^x * (1-p)^(n-x). The term (n choose x) is the binomial coefficient, calculated as n! / [x! * (n-x)!].
Step 4: Substitute the values into the formula. Replace n with 8, x with 6, and p with 0.40. The formula becomes: P(X = 6) = (8 choose 6) * (0.40)^6 * (0.60)^2.
Step 5: Calculate the binomial coefficient (8 choose 6) and simplify the powers of 0.40 and 0.60. Multiply these values together to find the probability. Note that you should stop here without calculating the final numerical result.

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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, the 'success' is a consumer believing that cash will be obsolete, and the trials are the selections of consumers. The distribution is defined by two parameters: the number of trials (n) and the probability of success (p).
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Probability Mass Function (PMF)

The probability mass function gives the probability of obtaining exactly k successes in n trials for a binomial distribution. It is calculated using the formula P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where 'n choose k' represents the binomial coefficient. This function is essential for determining the likelihood of specific outcomes, such as exactly 6 consumers believing in the obsolescence of cash.
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Binomial Coefficient

The binomial coefficient, denoted as 'n choose k' or C(n, k), represents the number of ways to choose k successes from n trials. It is calculated using the formula C(n, k) = n! / (k!(n-k)!), where '!' denotes factorial. This concept is crucial for calculating probabilities in binomial distributions, as it quantifies the different combinations of successes and failures.
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Related Practice
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

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Textbook Question

For the distribution described in Exercise 1, find the probability of exactly 2 arrivals in one thousandth of a minute.

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Textbook Question

Internet Traffic Data Set 27 “Internet Traffic” includes 9000 arrivals of Internet traffic at the Digital Equipment Corporation, and those 9000 arrivals occurred over a period of 19,130 thousandths of a minute. Let the random variable x represent the number of such Internet traffic arrivals in one thousandth of a minute. It appears that these Internet arrivals have a Poisson distribution. If we want to use Formula 5-9 to find the probability of exactly 2 arrivals in one thousandth of a minute, what are the values of μ, x, and e that would be used in that formula?

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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.


Pew Survey In a Pew Research Center survey of 3930 subjects, the ages of the respondents are recorded.

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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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