BSAN Binomial Distribution

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16 Terms

1
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A random experiment with exactly two possible outcomes: success or failure

What is a Bernoulli trial?

2
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The number of successes in a fixed number of independent Bernoulli trials

What does a binomial random variable measure?

3
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Fixed number of trials, two possible outcomes, independent trials, and constant probability of success.

What four conditions are required for a binomial distribution?

4
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The outcome being counted, regardless of whether it is good or bad

What does "success" mean in a binomial experiment?

5
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n = number of trials; p = probability of success in each trial

What are the two parameters of a binomial distribution?

6
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Because the outcome of one trial must not affect the outcomes of the other trials

Why must binomial trials be independent?

7
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Because it counts successes and can only take whole-number values.

Why is a binomial random variable discrete?

8
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When finding the probability of exactly a specific number of successes

When should you use the binomial PMF?

9
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When finding the probability of a certain number of successes or fewer

When should you use the binomial CDF?

10
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The probabilities are balanced around the center

What does a symmetric binomial distribution look like?

11
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A distribution with a longer tail on one side

What is a skewed binomial distribution?

12
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A distribution with one main peak

What does unimodal mean?

13
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Yes. The binomial formula works even when the distribution is skewed

Can you still use the binomial formula if the symmetry conditions aren't satisfied?

14
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P( a ≤ X ≤ b), including both endpoints

What does "between a and b, inclusive" mean?

15
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The average number of successes across many repetitions of the experiment

What does the expected value of a binomial distribution represent?

16
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Variance measures spread in squared units, while standard deviation measures spread in the original units.

What's the difference between variance and standard deviation?