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Distribution

7-11 Distribution

Though there are a number of different types of distributions, the one most commonly used is the “Normal Distribution”, which is an essential type of distribution for statistical calculations. Other types of distributions include the Poisson distribution and geometric distribution. The type of distribution used depends on the type of data being handled.

The shape of a distribution makes it possible to determine trends in data somewhat. You can specify a value and calculate the probability that any data value from the distribution is less than the specified value. In other words, you can determine what percent from the bottom that data value occurs within the distribution.

The following is a list of distributions and the description of what each one calculates.

Distribution Name

Description

 

 

Normal Probability

Calculates the probability density of normal distribution from a

Density

specified x value.

 

 

Normal Distribution

Specifies two values and calculates the probability of normal

Probability

distribution data falling between them.

 

 

Inverse Cumulative

Specifies a cumulative probability and calculates the value at that

Normal Distribution

location in a normal distribution.

 

 

Student-tProbability

Calculates t probability density from a specified x value.

Density

 

 

 

Student-tDistribution

Specifies two values and calculates the probability of Student-t

Probability

distribution data falling between them.

 

 

In addition to the above distributions, the ClassPad provides information on the χ2 distribution, F distribution, binomial distribution, Poisson distribution, and geometric distribution. Commands to achieve this are described in the following section.

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