## Address in BI

Define Menu > Variable Action > Select RandomVariable item in cobobox

## Properties

### Object Name:

• Name of the object in BI
• Authorized names are made using the letters of the alphabet and numbers, except the first letter. Use of “_” and space is not allowed.
• It is not allowed to use the names in the Pane Variable

### Current Value:

• It is a float value which can be used as a start point in an analysis
• When it changes, the PDF and CDF according to this value can be seen in rows 16 and 17, respectively.

### q:

• It is a float value between 0 and 1 that represents the CDF of the probabilistic distribution and the inverse CDF for this value that it is showed in row 18

### Distribution Type:

• Probability distribution of the random variable
• Probability distribution properties are defined by the parameters inside the parentheses
• A probability distribution object may have six input parameters, the number of which is equal to the number of parameters in parentheses
• If a probabilistic distribution object has two parameters in parentheses, only parameters 1 and 2 will be active for it and other parameters will be ignored
• For example, in the normal distribution, parameter 1 is the mean and parameter 2 is the standard deviation

### Parameter 1:

• The first parameter of probability distribution that can be seen in the parentheses

### Parameter 2:

• The second parameter of probability distribution that can be seen in the parentheses

### Parameter 3:

• The first parameter of probability distribution that can be seen in the parentheses

### Parameter 4:

• The third parameter of probability distribution that can be seen in the parentheses

### Parameter 5:

• The fourth parameter of probability distribution that can be seen in the parentheses

### Parameter 6:

• The fifth parameter of probability distribution that can be seen in the parentheses

### Coefficient Of Variation:

• Coefficient of variation of the probability distribution

### Mean:

• Mean of the probability distribution

### Standard Deviation:

• Standard deviation of the probability distribution

### Skew:

• Skewness of the probability distribution

### Kurtosis:

• Kurtosis of the probability distribution

### PDF:

• PDF value of the current value applied in row 2

### CDF:

• CDF value of the current value applied in row 2

### Inverse CDF:

• Inverse CDF value of the value applied in row 3

### Probability Distribution Type:

• 1. Normal
• 2. Exponential
• 3. Gamma
• 4. Uniform
• 5. Lognormal
• 6. Weibull
• 7. Rayleigh
• 8. Laplace
• 9. Beta
• 10. Maximum Gumbel Distribution
• 11. Minimum Gumbel Distribution
• 12. Chi2
• 13. T distribution