Exam Scores The distribution of the scores on a certain exam is N 80 , 5 which means that the exam scores are Normally distributed with a mean of 80 and a standard deviation of 5. 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 will be greater than 90. 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 80 , 5 which means that the exam scores are Normally distributed with a mean of 80 and a standard deviation of 5. 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 will be greater than 90. Shade the region under the Normal curve whose area corresponds to this probability.
Solution Summary: The author illustrates the normal curve of scores with mean of 80 and standard deviation of 5. The value at the center of the curve is 80.
Exam Scores The distribution of the scores on a certain exam is
N
80
,
5
which means that the exam scores are Normally distributed with a mean of 80 and a standard deviation of 5.
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 will be greater than 90. 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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