Exam Scores The distribution of the scores on a certain exam is N (70, 10), which means that the exam scores are Normally distributed with a mean of 70 and standard deviation of 10. a. Sketch 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 between 50 and 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 (70, 10), which means that the exam scores are Normally distributed with a mean of 70 and standard deviation of 10. a. Sketch 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 between 50 and 90. Shade the region under the Normal curve whose area corresponds to this probability.
Solution Summary: The author illustrates how the distribution of exam scores is normally distributed with a mean, plus or minus one, two, and three standard deviations.
Exam Scores The distribution of the scores on a certain exam is N(70, 10), which means that the exam scores are Normally distributed with a mean of 70 and standard deviation of 10.
a. Sketch 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 between 50 and 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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