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CHIGOF_M

Description: Returns the chi-squared goodness-of-fit results for the selected mode type. This function applies only when you use the Crow Extended model with either grouped times-to-failure or Discrete Mixed data types.

Syntax: CHIGOF_M (Data_Src, Value_Index, Mode_Type, Signif_Level)

Data_Src is the source data sheet from which the value is calculated.

Value_Index is a numerical value that allows you to specify which result to display:
- To show whether the test passed or failed = 0.
- To return the critical value = 1.
- To return the test value = 2.

Mode_Type allows you to select the mode classification. It is shown in the function as a numerical value that indicates the selected mode: BC Modes = 1; BD Modes = 2; All Modes = 3.

Signif_Level is the significance level for the results.

Remarks:

The Data_Src can be one of the following values:

If using a default data source, it must be either 1, 2, 3 or 4, as selected from the Data Source Index drop-down list.
It can take a data sheet name (e.g., "Folio1!Data 1").
It can take a variable name defined in the Defined Names window (e.g., datasource).

If the critical value is less than the test value, then the chi-squared test passes.

Example:

CHIGOF_M (“Folio1!Data 1”,1,3,5) = 2.794492824

Note that this value will vary depending on the source data set.