Exam Scores The distribution of the scores on a certain exam is N 100 , 10 which means that the exam scores are Normally distributed with a mean of 100 and a standard deviation of 10. a. Sketch or use technology to create the curve and label on the x -axis the position of the mean, the mean plus or minus one standard deviation, the mean plus or minus two standard deviations, and the mean plus or minus three standard deviations. b. Find the probability that a randomly selected score is between 90 and 110. Shade the region under the Normal curve whose area corresponds to this probability.
Exam Scores The distribution of the scores on a certain exam is N 100 , 10 which means that the exam scores are Normally distributed with a mean of 100 and a standard deviation of 10. a. Sketch or use technology to create the curve and label on the x -axis the position of the mean, the mean plus or minus one standard deviation, the mean plus or minus two standard deviations, and the mean plus or minus three standard deviations. b. Find the probability that a randomly selected score is between 90 and 110. Shade the region under the Normal curve whose area corresponds to this probability.
Solution Summary: The author explains how to draw a curve showing the position of mean, mean with one or two standard deviations, and the normal distribution's x-axis.
Exam Scores The distribution of the scores on a certain exam is
N
100
,
10
which means that the exam scores are Normally distributed with a mean of 100 and a standard deviation of 10.
a. Sketch or use technology to create the curve and label on the
x
-axis the position of the mean, the mean plus or minus one standard deviation, the mean plus or minus two standard deviations, and the mean plus or minus three standard deviations.
b. Find the probability that a randomly selected score is between 90 and 110. Shade the region under the Normal curve whose area corresponds to this probability.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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