Complete the following steps to enter the parameters for the Beta distribution.
For example, this plot shows a beta distribution that has a first shape of 3 and a second shape of 2.
Complete the following steps to enter the parameters for the Binomial distribution.
For example, this plot shows a binomial distribution that has 100 trials and an event probability of 0.03.
Complete the following steps to enter the parameters for the Cauchy distribution.
For example, this plot shows an Cauchy distribution that has a location of 0 and a scale of 1.
In Degrees of freedom, enter the number of degrees of freedom that define the Chi-square distribution.
For example, this plot shows a chi-square distribution that has 4 degrees of freedom.
Complete the following steps to enter the parameters for the Discrete distribution.
In this worksheet, Value contains the counts to include in the distribution and Probability contains the probability of each count.
C1 | C2 |
---|---|
Value | Probability |
0 | 0.03 |
1 | 0.13 |
2 | 0.70 |
3 | 0.10 |
4 | 0.04 |
Complete the following steps to enter the parameters for the Exponential distribution.
For example, this plot shows an exponential distribution that has a scale of 1 and a threshold of 0.
In Numerator degrees of freedom and Denominator degrees of freedom, enter the numerator and denominator degrees of freedom to define the F-distribution. For more information, go to F-distribution.
For example, this plot shows an F-distribution that has 1 numerator degrees of freedom and 1 denominator degrees of freedom.
Complete the following steps to enter the parameters for the Gamma distribution.
For example, this plot shows a gamma distribution that has a shape of 3, a scale of 1, and a threshold of 0.
Complete the following steps to enter the parameters for the Geometric distribution.
To change the default settings for future sessions of Minitab, choose .
For example, this plot shows a geometric distribution that models the total number of trials, and has an event probability of 0.5.
Complete the following steps to enter the parameters for the Hypergeometric distribution.
For example, this plot shows a hypergeometric distribution that has a population of 400, an event count of 10, and a sample size of 40.
Complete the following steps to enter the parameters for the Integer distribution.
For example, this plot shows an integer distribution that has a minimum of 1 and a maximum of 6.
Complete the following steps to enter the parameters for the Laplace distribution.
For example, this plot shows a Laplace distribution that has a location of 0 and a scale of 1.
Complete the following steps to enter the parameters for the largest extreme value distribution. For more information, go to Smallest and largest extreme value distributions.
For example, this plot shows a largest extreme value distribution that has a location of 0 and a scale of 1.
Complete the following steps to enter the parameters for the Logistic distribution.
For example, this plot shows a logistic distribution that has a location of 0 and a scale of 1.
Complete the following steps to enter the parameters for the Loglogistic distribution.
For example, this plot shows a loglogistic distribution that has a location of 0, a scale of 1, and a threshold of 0.
Complete the following steps to enter the parameters for the Lognormal distribution.
For example, this plot shows a lognormal distribution that has a location of 0, a scale of 1, and a threshold of 0.
Complete the following steps to enter the parameters for the Multivariate normal distribution.
In this example, the data are from three correlated, normal random variables. The means are in C1, and the variance-covariance matrix is in columns C2–C4.
C1 | C2 | C3 | C4 |
---|---|---|---|
2.0 | 13.0321 | 2.6544 | 0.0899 |
100.1 | 2.6544 | 6.5883 | 1.4438 |
151.3 | 0.0899 | 1.4438 | 12.2219 |
Now, you can generate random data from the multivariate normal distribution.
To get the same sample as in the table below, set the random generator base before you generate the random sample. Choose and enter 5.
C6 | C7 | C8 |
---|---|---|
1.61033 | 99.192 | 148.814 |
0.45883 | 96.093 | 144.679 |
−0.46745 | 101.041 | 148.936 |
… | … | … |
Complete the following steps to enter the parameters for the Negative binomial distribution.
To change the default settings for future sessions of Minitab, choose .
For example, this plot shows a negative binomial distribution that models the total number of trials, and has an event probability of 0.5 and 5 events.
Complete the following steps to enter the parameters for the Normal distribution.
For example, this plot shows a normal distribution that has a mean of 0 and a standard deviation of 1.
In Mean, enter the value for the average rate of occurrence. For more information, go to Poisson distribution.
For example, this plot shows a Poisson distribution that has a mean of 10.
Complete the following steps to enter the parameters for the smallest extreme value distribution. For more information, go to Smallest and largest extreme value distributions.
For example, this plot shows a smallest extreme value distribution that has a location of 0 and a scale of 1.
In Degrees of freedom, enter the degrees of freedom to define the t-distribution. For more information, go to t-distribution.
For example, this plot shows a t-distribution that has 2 degrees of freedom.
Complete the following steps to enter the parameters for the Triangular distribution.
For example, this plot shows a triangular distribution that has a lower end point of 10, a mode of 50, and an upper end point of 100.
Complete the following steps to enter the parameters for the Uniform distribution.
For example, this plot shows a uniform distribution that has a lower endpoint of 2.5 and an upper endpoint of 7.5.
Complete the following steps to enter the parameters for the Weibull distribution.
For example, this plot shows a Weibull distribution that has a location of 5, a scale of 5, and a threshold of 0.