
Normal Approximation to a binomial distribution
Flashcard
•
Mathematics
•
11th - 12th Grade
•
Practice Problem
•
Hard
Standards-aligned
Wayground Content
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the normal approximation to a binomial distribution?
Back
The normal approximation to a binomial distribution is a method used to approximate the probabilities of a binomial random variable using a normal distribution when certain conditions are met.
2.
FLASHCARD QUESTION
Front
What are the conditions for using the normal approximation to a binomial distribution?
Back
The normal approximation is appropriate when both np and nq are greater than 5, where n is the number of trials, p is the probability of success, and q is the probability of failure (q = 1 - p).
3.
FLASHCARD QUESTION
Front
What is the continuity correction factor?
Back
The continuity correction factor is a value added or subtracted (usually 0.5) when using a normal distribution to approximate a discrete distribution, to account for the fact that the normal distribution is continuous.
Tags
CCSS.HSS.ID.A.4
4.
FLASHCARD QUESTION
Front
How do you calculate the mean (μ) of a binomial distribution?
Back
The mean (μ) of a binomial distribution is calculated using the formula μ = np, where n is the number of trials and p is the probability of success.
5.
FLASHCARD QUESTION
Front
How do you calculate the variance (σ²) of a binomial distribution?
Back
The variance (σ²) of a binomial distribution is calculated using the formula σ² = npq, where n is the number of trials, p is the probability of success, and q is the probability of failure.
6.
FLASHCARD QUESTION
Front
What is the standard deviation (σ) of a binomial distribution?
Back
The standard deviation (σ) of a binomial distribution is the square root of the variance, calculated as σ = √(npq).
7.
FLASHCARD QUESTION
Front
If 46% of a population favors a candidate, what is the probability of selecting a sample of 500 that favors the candidate?
Back
Using the normal approximation, calculate the probability using the mean and standard deviation derived from the binomial parameters.
Tags
CCSS.HSS.ID.A.4
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