The distribution of the scores on a certain exam is N(30,10), which means that the exam scores are Normally distributed with a mean of 30 and standard deviation of 10. What is the probability that a randomly selected score will be greater than 40? Using the Empirical Rule, the probability that a randomly selected score will be greater than 40 is about ____%.

The distribution of the scores on a certain exam is N(30,10), which means that the exam scores are Normally distributed with a mean of 30 and standard deviation of 10. What is the probability that a randomly selected score will be greater than 40? Using the Empirical Rule, the probability that a randomly selected score will be greater than 40 is about ____%.

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter12: Probability

Section12.4: Discrete Random Variables; Applications To Decision Making

Problem 9E

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Question

The distribution of the scores on a certain exam is N(30,10), which means that the exam scores are Normally distributed with a mean of 30 and standard deviation of 10.

What is the probability that a randomly selected score will be greater than 40?

Using the Empirical Rule, the probability that a randomly selected score will be greater than 40 is about ____%.

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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