The Process of Determining If a Model Is an Accurate

question 8

Multiple Choice

The process of determining if a model is an accurate representation of the real system is called

• A) the null hypothesis.
• B) software engineering.
• C) synthesis.
• D) validation.
• E) verification.

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Definitions:

Confidence Interval

A swath of values, taken from statistical analyses of a sample, anticipated to hold within it the value of a not-yet-known population trait.

Standard Error

The standard deviation of the sampling distribution of a statistic, typically the mean.

Mean

The average value of a set of numbers, calculated by dividing the sum of all values by the number of values.

Confidence Interval

A range of values derived from sample data that is likely to contain the value of an unknown population parameter.