Finding Probabilities Use the probability distribution you made in Exercise 19 to find the probability of randomly selecting a household that has (b) two or more HD televisions
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
5. Binomial Distribution & Discrete Random Variables
Binomial Distribution
Problem 4.Q.5
Textbook Question
An online magazine finds that the mean number of typographical errors per page is five. Find the probability that the number of typographical errors found on any given page is (a) exactly five, (b) less than five, and (c) exactly zero.

1
Step 1: Recognize that the problem involves a Poisson distribution. The Poisson distribution is used to model the number of events (in this case, typographical errors) occurring in a fixed interval (a page) when the events occur independently and at a constant average rate. The mean number of errors per page (λ) is given as 5.
Step 2: Recall the probability mass function (PMF) of the Poisson distribution: P(X = k) = (λ^k * e^(-λ)) / k!, where λ is the mean number of events, k is the number of events we are interested in, and e is the base of the natural logarithm (approximately 2.718).
Step 3: For part (a), substitute k = 5 and λ = 5 into the PMF formula to find the probability of exactly 5 errors: P(X = 5) = (5^5 * e^(-5)) / 5!. Simplify the expression to calculate the probability.
Step 4: For part (b), calculate the probability of less than 5 errors, which means summing the probabilities for k = 0, 1, 2, 3, and 4. Use the PMF formula for each value of k and sum the results: P(X < 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4).
Step 5: For part (c), substitute k = 0 and λ = 5 into the PMF formula to find the probability of exactly 0 errors: P(X = 0) = (5^0 * e^(-5)) / 0!. Simplify the expression to calculate the probability.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Poisson Distribution
The Poisson distribution is a probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space, given a known average rate of occurrence. It is particularly useful for modeling the number of rare events, such as typographical errors on a page, where the events are independent of each other.
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Mean (λ) in Poisson Distribution
In the context of the Poisson distribution, the mean (denoted as λ) represents the average number of occurrences of the event in the specified interval. In this case, the mean number of typographical errors per page is five, which serves as the parameter for calculating probabilities related to the number of errors on any given page.
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Probability Calculation
To find the probability of a specific number of events occurring in a Poisson distribution, the formula P(X=k) = (e^(-λ) * λ^k) / k! is used, where P(X=k) is the probability of k events, e is Euler's number, and k! is the factorial of k. This formula allows us to calculate the probabilities for exactly five, less than five, and zero typographical errors on a page.
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