The number of pizzas consumed per month by university students is normally distributed with a mean of 10 and a standard deviation of 3.A. What proportion of students consume more than 13 pizzas per month?Probability =B. What is the probability that in a random sample of size 12, a total of more than 96 pizzas are consumed?Probability :

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The lifetime of a particular brand of AA batteries follows a normal distribution. The mean lifetime of particular brand of AA batteries is 1000 hours, with a standard deviation of 100 hours. What is the probability that a randomly selected battery lasts more than 875 hours? Select one: a. 0.8716 b. 0.3749 c. 0.1056 d. 0.8944
The number of pizzas consumed per month by university students is normally distributed with a mean of 11 and a standard deviation of 4. A. What proportion of students consume more than 14 pizzas per month? Probability = B. What is the probability that in a random sample of size 10, a total of more than 100 pizzas are consumed? (Hint: What is the mean number of pizzas consumed by the sample of 10 students?) Probability =
When Freshman 15 The term "Freshman 15" refers to the claim that college students typically gain 15 lb during their freshman year at college. Assume that the amounts of weight that male college students gain during their freshman year are normally distributed with a mean of 2.6 lb and a standard deviation of 10.8 1b (based on Data Set 13 "Freshman 15"). Find the probability that a randomly selected male college student gains 15 lb or more during his freshman year. What does the result suggest about the claim of the "Freshman 15"?
do a , b, c
The number of pizzas consumed per month by university students is normally distributed with a mean of 11 and a standard deviation of 4. A. What proportion of students consume more than 13 pizzas per month? Probability = B. What is the probability that in a random sample of size 10, a total of more than 130 pizzas are consumed? Probability=
Customers stay on average 16 minutes in line before they can get into a certain store. The standard deviation is 4 minutes, and you should assume this normally distributed. a. Find the probability that a randomly picked individual will wait between 10 and 20 minutes. b. What proportion of waiting time falls above 24 min or below 6 min?
College students average 8.2 hours of sleep per night with a standard deviation of 45 minutes. If the amount of sleep is normally distributed, what proportion of college students sleep for more than 9 hours? Probability = %3D
A new car that is a gas- and electric-powered hybrid has recently hit the market. The distance travelled on 1 gallon of fuel is normally distributed with a mean of 55 miles and a standard deviation of 8 miles. Find the probability of the following events: The car travels between 49 and 63 miles per gallon. Probability =
The top-selling Red and Voss tire is rated 88000 miles, which means nothing. In fact, the distance the tires can run until wear- out is a normally distributed random variable with a mean of 72000 miles and a standard deviation of 7000 miles. A. What is the probability that a tire lasts more than 88000 miles? Probability = Round to four decimals CS Scanned with CamScanner
The lengths of pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15days. a. Find the probability of a pregnancy lasting 309 days or longer. b. If the length of pregnancy is in the lowest 3%,then the baby is premature. Find the length that separates premature babies from those who are not premature.
The top-selling Red and Voss tire is rated 70000 miles, which means nothing. In fact, the distance the tires can run until wear-out is a normally distributed random variable with a mean of 82000 miles and a standard deviation of 7000 miles. A. What is the probability that the tire wears out before 70000 miles? Probability = B. What is the probability that a tire lasts more than 87000 miles? Probability =

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