5 Binomial Distribution Flashcards

(17 cards)

1
Q

What is the definition of a Binomial trial?

A

A trial with exactly two outcomes: success and failure

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2
Q

List the conditions for a binomial distribution.

A
  • Exactly two outcomes (success and failure)
  • Trials are independent
  • Number of trials is fixed
  • Probability of success is constant
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3
Q

The binomial model is suitable for any random variable that meets which four assumptions?

A
  • Two outcomes
  • Independent trials
  • Fixed number of trials
  • Constant probability of success
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4
Q

In a binomial distribution, what does the parameter, n, represent?

A

The number of trials

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5
Q

In a binomial distribution, what does the parameter, p, represent?

A

The probability of success in a single trial

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6
Q

True or false: The probability of success in a binomial distribution can change from trial to trial.

A

FALSE

The probability of success must remain constant across trials.

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7
Q

Fill in the blank: The expectation of a binomial distribution is calculated using the formula _______.

A

E(X)=np

This formula gives the long-term average of successes in a binomial experiment.

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8
Q

Fill in the blank: The variance of a binomial distribution is calculated using the formula _______.

A

Var(X)=np(1-p)

Variance measures the spread of the distribution around the mean.

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9
Q

What is the probability of getting exactly two heads when flipping a fair coin three times?

A

0.375

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10
Q

What is the probability of getting at least 4 heads when flipping a fair coin 10 times?

A

0.8281

This probability can be calculated using cumulative binomial probabilities.

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11
Q

In a binomial distribution, the number of successes is an example of a ________.

A

discrete random variable

The value of the number of successes varies randomly across trials.

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12
Q

What does the notation X ~ B(n, p) signify?

A

X is a random variable with a binomial distribution

n is the number of trials and p is the probability of success.

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13
Q

What is the mean of a binomial distribution with parameters n = 10 and p = 0.5?

A

5

The mean is calculated as n * p.

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14
Q

What is the notatin for a binomial model?

A

X ~ B(n, p)

n is the number of trials and p is the probability of success.

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15
Q

What are the parameters that define a binomial distribution?

A

n is the number of trials and p is the probability of success.

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16
Q

What is the standard deviation of a binomial distribution with parameters n = 10 and p = 0.5?

A

1.58

The standard deviation is calculated as sqrt(n * p * (1 - p)).

17
Q

What is the probability of getting fewer than 3 heads when flipping a fair coin 5 times?

A

0.5

This can be calculated using the binomial probability formula.