Using the Normal Distribution, answer the following. The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours. Find the probability that a randomly selected phone will work greater than 127 hours before it needs charging. Given: Conclusion: In a Statistics class, the final exam scores were normally distributed with a mean of 63 and a standard deviation of 5. If you are randomly selected, what is the probability that you will score more than 65 on the exam? Given: Conclusion:

Using the Normal Distribution, answer the following. The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours. Find the probability that a randomly selected phone will work greater than 127 hours before it needs charging. Given: Conclusion: In a Statistics class, the final exam scores were normally distributed with a mean of 63 and a standard deviation of 5. If you are randomly selected, what is the probability that you will score more than 65 on the exam? Given: Conclusion:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

Using the Normal Distribution, answer the following.

The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours. Find the probability that a randomly selected phone will work greater than 127 hours before it needs charging.

Given:

Conclusion:
In a Statistics class, the final exam scores were normally distributed with a mean of 63 and a standard deviation of 5. If you are randomly selected, what is the probability that you will score more than 65 on the exam?

Given:

Conclusion:

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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