which definition below best describes the term distribution? select one: a. the values of the variable b. normal curve c. raw data d. the variability of the data e. the pattern and frequency with which we observe a variable



Answer :

The correct statement is the pattern and frequency with which we observe a variable

What is Normal distribution?

A data collection with a normal distribution is put up so that the majority of the values cluster in the middle of the range and the remaining values taper off symmetrically in either direction.

A probability distribution that is symmetric about the mean is the normal distribution, sometimes referred to as the Gaussian distribution. It demonstrates that data that are close to the mean occur more frequently than data that are far from the mean. The normal distribution appears as a "bell curve" on a graph.

Now, The distribution is all about the pattern and frequency with which we observe a variable.

This is because distribution tells us that the spread ness and variability.

Learn more about normal distribution here:

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