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1.-prob.-distribution.md

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1. Prob. Distribution

  1. Click on the Prob. Distribution icon in the Statistics category.

  1. Code View: Preview the code that will be generated.
  2. Data View: View the data used in the operation.
  3. Run: Execute the code.

Common

Discrete Probability Distribution

Continuous Probability Distribution

Common

Action

Generate Random Numbers

  1. Size: Set the number of samples extracted from the generated distribution.
  2. Random State: Set the seed.
  3. Allocate to: Specify the variable (call name) toate.
  4. Show Sampled Distribution: Visualize the distribution drawn from the samples.

Show Distribution Plot

  1. Probability Density Function: Output the probability density function.
  2. Cumulative Distribution Function: Output the cumulative distribution function.

Statistics to P-Value

  1. Statistic: You will obtain the probability of getting a value equal to or greater than the absolute value entered here in this distribution.
  2. Alternative: Two-sided; for a two-tailed test, One-sided; for a one-tailed test.

P-Value to Statistics

  1. Proportional Value: Enter the p-value; the range on the distribution where values equal to or greater than the entered p-value will be calculated and displayed.
  2. Alternative: Choose between two-sided or one-sided test.

Discrete Probability Distribution

Bernoulli

  1. P: Enter the probability of getting 1 in the binary outcome of 0 and 1.
  2. User Option: Optionally provide additional desired options.

Binomial and Multinomial

  1. N: Enter the number of trials.
  2. P: Enter the probability of success in a trial. Use the Funnel Icon to fetch values entered in a specific dataframe column. (The form of the input values can be referred to in the generated examples.)

Continuous Probability Distribution

Normal

  1. Loc: Set the mean of the normal distribution.
  2. Scale: Set the standard deviation of the normal distribution.
  3. User Option: Optionally provide additional desired options.

Beta

  1. A: Set the shape parameter a of the beta distribution.
  2. B: Set the shape parameter b of the beta distribution.
  3. User Option: Optionally provide additional desired options.

Gamma

  1. A: Set the shape parameter of the gamma distribution.
  2. User Option: Optionally provide additional desired options.

Student's t and Chi2

  1. Df: Set the degrees of freedom for the t-distribution or chi-squared distribution.
  2. User Option: Optionally provide additional desired options.

F

  1. Dfn: Set the numerator degrees of freedom.
  2. Dfd: Set the denominator degrees of freedom.
  • The F-distribution represents the ratio of two chi-squared distributions. Dfn and Dfd are the degrees of freedom for the two chi-squared distributions.
  1. User Option: Optionally provide additional desired options.

Dirichlet

  1. Alpha: Enter the importance for three categories (or dimensions) in the format (a, b, c).
  2. Seed: If provided, the generated random numbers will be fixed.
  3. User Option: Optionally provide additional desired options.

Multivariate Normal

  1. Mean: Set the mean of the distribution. For [a, b], the mean of the first distribution is a, and the mean of the second distribution is b.
  2. Cov: Set the covariance of the distribution. For [a, b], the covariance of the first distribution is a, and the covariance of the second distribution is b.
  3. Allow Singular: If True, allows generating the distribution even when the covariance matrix is singular.
  4. User Option: Optionally provide additional desired options.