If You Change an Underlying Value Used in the Calculated

question 37

True/False

If you change an underlying value used in the calculated field of a report, the value of this calculated field in any subsequent copy of the report will also change.

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Definitions:

Type I Error

The mistake of rejecting a true null hypothesis, also known as a false positive.

Type II Error

The statistical error that occurs when one fails to reject a false null hypothesis, a mistake of not detecting an effect that is there.

Nonparametric Techniques

Statistical methods that do not assume a specific distribution for the data they are analyzing.

Parametric Techniques

Statistical methods based on assumptions about the distribution of the underlying population from which the sample data are drawn.