CAP Probability and Statistics Flashcards

1
Q

Negative binomial probably distribution

A

A distribution that describes the odds of having a number of successful Bernoulli trials before having a given number of failures

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2
Q

Hypergeometric probability distribution

A

A function describing the probability of drawing a sample of k successes in n draws without replacement from a population with K successes and N samples

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3
Q

Lognormal Distribution

A

Any distribution whose logarithm is normally distributed

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4
Q

Statistics

A

Study of collection, analysis, interpretation, and organization of data

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5
Q

Cumulative Distribution Function (CDF)

A

A function that describes the likelihood of a random variable taking on a value less than or equal to a given value

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6
Q

Binomial Distribution

A

A function describing the number of successes in independent experiments, defined by number of trials and probability of success in each trial

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7
Q

Arithmetic mean

A

Measure of central tendency indicated by summing the sample then dividing by the sample size

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8
Q

Weibull probability distribution

A

A distribution that describes how failure rates change over time

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9
Q

Probability Mass Function (PMF)

A

A function that describes the relative likelihood of a discrete random variable taking on a given value

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10
Q

Harmonic mean

A

Measure of central tendency indicated by the reciprocal of the arithmetic mean of the reciprocals; typically used when averaging rates

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11
Q

normal probability distribution

A

A distribution shaped like a symmetric bell curve, used when sample size is large or the population standard deviation is known

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12
Q

Geometric mean

A

Measure of central tendency indicated by taking the nth root of the product of the sample; typically used when comparing items that have different properties with different ranges

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13
Q

Bernoulli Probability Distribution

A

A function where the random variable equals 1 with a probability p and equals 0 with a probability 1-p

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14
Q

exponential probability distribution

A

A function describing the amount of time that passes between events in a Poisson process

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15
Q

Probability Density Function (PDF)

A

A function that describes the relative likelihood of a continuous random variable taking on a given value

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16
Q

Gamma probability distribution

A

A distribution used to model arrival times of multiple entities in a Poisson process, models any process where values are always positive and come from skewed distributions

17
Q

Variance

A

The sum of square deviations of all values in the data set divided by the number of values in the data set

18
Q

Median

A

Measure of central tendency indicating the value that separates the higher half of a sample from the lower half of the sample

19
Q

beta probability distribution

A

A distribution that models the behavior of random variables limited to intervals of finite lengths

20
Q

Skewness

A

Measure of asymmetry in a data distribution about its mean

21
Q

Student’s t-distribution

A

A distribution used to estimate the mean of a normally distributed population where the sample size is small and the population standard deviation is unknown

22
Q

Poisson Probability Distribution

A

A function describing the likelihood of a given number of events occurring in a fixed interval of time or space where events occur independent of each other at a known constant rate

23
Q

Chi Square Probability Distribution

A

A distribution used in statistical tests for fitting an observed distribution to a theoretical one, assessing independent of two classification criteria, and confidence interval estimation for standard deviation

24
Q

Heteroskedasticity

A

Describes a data set where subpopulations have different variances than the population as a whole

25
Q

Standard deviation

A

The square root of variance

26
Q

Mode

A

Measure of central tendency indicating the most common value in a sample

27
Q

Absolute deviation

A

The difference from each value in the dataset from the arithmetic mean

28
Q

Geometric probability distribution

A

A function describing the number of Bernoulli trials needed to reach the first successful trial

29
Q

Probability

A

Measure of likelihood of an event occurring

30
Q

Uniform probability distribution

A

A function where all intervals of the same length are equally probable

31
Q

Kurtosis

A

Measure of sharpness of a peak in a data distribution