The Process of Determining If a Model Is an Accurate

question 5

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.

---

Definitions:

One-sided Test

A hypothesis test in which the alternative hypothesis specifies a direction of effect, either greater than or less than a value specified in the null hypothesis.

T Procedures

Statistical methods based on the t-distribution that are used to estimate population parameters and test hypotheses, especially when sample sizes are small.

Probability Calculations

The process of determining the likelihood of a given outcome, often expressed as a number between 0 and 1.

Normal Data

Data that follows a normal distribution, characterized by a bell-shaped curve where most observations cluster around a central peak and probabilities for values taper off equally in both directions.