Respuesta :
Answer:
The correct answer is D) areas, probability, and relative frequencies
Step-by-step explanation:
This is because each of these terms refers to an amount of space surrounding the mean on the normal distribution curve. Each of them let's us know how likely a spot is to have a value within it.
The z-score would not fit this as it identifies the value and how far away a single spot on the graph would be.
In the normal distribution, we work with:
B) areas, z-scores, and probability.
In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
- It measures how many standard deviations the measure is from the mean.
- After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X, also the probability of finding a value lower than X or even the area under the normal curve to the left of X.
Thus, from this summary of the normal distribution, the topics are z-score, probabilities and area, thus, option b is correct.
A similar problem is given at https://brainly.com/question/22940416