Recall the conditions for a binomial probability. There are n independent trials, each with only one of two outcomes, a success or a failure. The probability of a success, p, is the same for each trial. The expected value, also referred to as µ, is calculated as µ = np, where n is the sample size. For this scenario, there are two options - either someone smokes, or they do not. Let a success be that someone in this group is a smoker. It was given that 20% of adults smoke. Convert this percentage to a probability. percentage probability of a success = 100% % p = 100% Use the found probability of a success, p, to find the expected number of adults in the sample of 350 who smoke. H = np 350(|
Recall the conditions for a binomial probability. There are n independent trials, each with only one of two outcomes, a success or a failure. The probability of a success, p, is the same for each trial. The expected value, also referred to as µ, is calculated as µ = np, where n is the sample size. For this scenario, there are two options - either someone smokes, or they do not. Let a success be that someone in this group is a smoker. It was given that 20% of adults smoke. Convert this percentage to a probability. percentage probability of a success = 100% % p = 100% Use the found probability of a success, p, to find the expected number of adults in the sample of 350 who smoke. H = np 350(|
A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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![Recall the conditions for a binomial probability. There are n independent trials, each with only one of two outcomes, a success or a failure. The probability of a
success, p, is the same for each trial. The expected value, also referred to as u, is calculated as u = np, where n is the sample size.
For this scenario, there are two options - either someone smokes, or they do not. Let a success be that someone in this group is a smoker. It was given that 20% of
adults smoke. Convert this percentage to a probability.
percentage
probability of a success =
100%
%
p =
100%
Use the found probability of a success, p, to find the expected number of adults in the sample of 350 who smoke.
U = np
- 350(|](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffa1f2822-8ee5-4468-b761-4648e25887d9%2F65aef873-16a3-4bfa-bf0f-27de33ddaf59%2Fiyp1f5_processed.png&w=3840&q=75)
Transcribed Image Text:Recall the conditions for a binomial probability. There are n independent trials, each with only one of two outcomes, a success or a failure. The probability of a
success, p, is the same for each trial. The expected value, also referred to as u, is calculated as u = np, where n is the sample size.
For this scenario, there are two options - either someone smokes, or they do not. Let a success be that someone in this group is a smoker. It was given that 20% of
adults smoke. Convert this percentage to a probability.
percentage
probability of a success =
100%
%
p =
100%
Use the found probability of a success, p, to find the expected number of adults in the sample of 350 who smoke.
U = np
- 350(|
Expert Solution
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Step 1
Given that
P = 20% , n =350
Probabilty ( p ) = ? , mu = ?
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