Probability Flashcards

(21 cards)

1
Q
A
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2
Q

Define binomial distribution.

A

A probability distribution for a fixed number of trials, each with two possible outcomes.

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3
Q

True or false: The normal distribution is symmetric about its mean.

A

TRUE

The normal distribution is often referred to as a bell curve.

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4
Q

What does Z score represent?

A

The number of standard deviations a data point is from the mean.

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5
Q

Fill in the blank: In a binomial distribution, the probability of success is denoted by ______.

A

p

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6
Q

What is the mean of a binomial distribution?

A

The mean is calculated as n * p, where n is the number of trials.

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7
Q

True or false: The sum of probabilities in a binomial distribution equals 1.

A

TRUE

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8
Q

Define standard normal distribution.

A

A normal distribution with a mean of 0 and a standard deviation of 1.

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9
Q

What is the variance of a binomial distribution?

A

The variance is calculated as n * p * (1 - p).

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10
Q

Fill in the blank: The Central Limit Theorem states that the sampling distribution of the mean approaches ______.

A

a normal distribution as sample size increases.

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11
Q

What is the standard deviation of a normal distribution?

A

A measure of the dispersion of data points around the mean.

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12
Q

True or false: A Z score of 0 indicates a value at the mean.

A

TRUE

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13
Q

Define success in the context of a binomial experiment.

A

An outcome that corresponds to the event of interest in the trials.

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14
Q

What is the probability mass function for a binomial distribution?

A

It gives the probability of obtaining exactly k successes in n trials.

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15
Q

Fill in the blank: The area under the curve of a normal distribution equals ______.

A

1

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16
Q

What does a negative Z score indicate?

A

The value is below the mean of the distribution.

17
Q

True or false: The binomial distribution can model continuous data.

A

FALSE

The binomial distribution is discrete, suitable for count data.

18
Q

Define binomial experiment.

A

An experiment with a fixed number of independent trials, each with two outcomes.

19
Q

What is the cumulative distribution function for a binomial distribution?

A

It gives the probability of obtaining up to k successes in n trials.

20
Q

Fill in the blank: In a normal distribution, about 68% of values lie within ______ standard deviations of the mean.

21
Q

What is the law of large numbers?

A

As the number of trials increases, the sample mean converges to the expected value.