Distribution Types
PDF Formulas
Discrete Variables and distributions, random variables
Continuous Variables and distributions
Descriptors
100

A finite number of values are equally likely to be observed

What is a Uniform distribution?

100

f(t) = ve-vt

What is the Exponential distribution?

100

Can take only a finite number of values

What is a discrete variable?

100

Probability distribution of a continuous variable

What is a PDF?

100

The most probable value of random variable x

What is the mode?

200

The number of event occurrences during a specified period of time or space

What is the Poisson distribution?

200
You use the Z table, Z = (X-U)/sigma

What is the Normal distribution?

200

The probability that a random variable X is less than or equal to a specific number, x

What is a CDF?

200

The value of this integral is 1

What is integral(f(x) dx with bounds of negative infinity to infinity?
200

CDF is 50%, F(x) = 0.5

What is the median?

300

The probability of success is known and the trial can result in only one of two possible outcomes

What is the Bernoulli distribution?

300

1/(b-a)

What is the Uniform distribution with continuous variables?

300

This is the probability distribution for a discrete variable

What is a PMF?

300
The value of this PDF function is 0

What is P(X=any value)?

300

mean = median = mode

What is a unimodal, symmetric distribution?
400

The variance is defined as np(1-p)

What is the Binomial distribution?

400

1/n

What is the Uniform discrete distribution?

400

The derivative of a CDF

what is a pdf?

400
Integral of the PDF

What is a CDF?

400

The direction of the tail is to the right

What is positive skew?

500

Describes the recurrence time of a Poisson process

What is the Exponential distribution?

500

e-vt(vt)x/x!

What is discrete Poisson distribution?

500

A variable whose measured value can change from one replicate of an experiment to the next

What is a random variable?

500

A PDF is _________ probability?

What is not?
500

The peak of the distribution is higher and narrower than normal

What is Leptokurtic?

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