In applied statistics, the area under the normal distribution curve is more important than the
frequencies.

Question

Quizplus · Accepted Answer

The area under the normal distribution curve corresponds to the probabilities associated with different values or ranges of values. This is crucial in many statistical analyses, such as hypothesis testing and confidence intervals. Frequencies are important for descriptive statistics, but they do not provide the same level of information about the distribution and probabilities as the area under the curve.

In Applied Statistics, the Area Under the Normal Distribution Curve