Answered

If a certain test follows a normal curve, most of the scores will fall
A.
at the top end
B. at the bottom end
C. all over the place
D. in the middle
Please select the best answer from the choices provided
A
m
OO
O
0
D



Answer :

GinnyAnswer
To determine where most of the scores fall in a test that follows a normal distribution, we need to understand the characteristics of a normal curve.

1. Shape of the Normal Distribution:
- A normal distribution, also known as a Gaussian distribution, is symmetric and bell-shaped.
- It is centered around the mean, which is also the median and mode of the distribution.

2. Distribution of Data:
- In a normal distribution, the data is concentrated around the mean.
- Approximately 68% of the data falls within one standard deviation of the mean (34% on each side).
- Approximately 95% of the data falls within two standard deviations of the mean.
- Approximately 99.7% of the data falls within three standard deviations of the mean.

3. Implications for Test Scores:
- Since a normal distribution is symmetric and most of the data points cluster around the mean, most of the test scores will fall around the center of the distribution.
- This means that the highest concentration of scores will be found in the middle of the distribution.

Given this understanding, we can conclude that most of the scores on a test that follows a normal distribution will fall:
- D. in the middle

Therefore, the best answer to the question is:
D. in the middle

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