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How does the area below the mean compare to the area above the mean in a normal distribution?
A. the areas are always equal regardless of the mean
B. the areas are sometimes equal depending upon the standard deviation of the distribution
C. the area above the mean is larger since the values are larger as you move above the mean
D. the areas are sometimes equal depending upon the value of the mean

Respuesta :

reinhard10158

Answer:

A.

Step-by-step explanation:

that is the definition of "mean". it cuts the possible outcomes weighed with their probabilities (actual occurrences vs. possible occurrences) in 2 halves.

ashishdwivedilVT

The areas are always equal regardless of the mean.

option (a) is correct.

What is normal distribution?

A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

The standard normal distribution is a probability distribution, so the area under the curve between two points tells you the probability of variables taking on a range of values. The total area under the curve is 1 or 100%.

Therefore ,the areas are always equal regardless of the mean.

Learn more details about normal distribution:

https://brainly.com/question/24273691

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