Answered: If a child is chosen at random, the…

Name: If a child is chosen at random, the amount of ketchup he chooses to pu
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Description: If a child is chosen at random, the amount of ketchup he chooses to put on the spaghetti is 22 its normally distributed, with the bars μ = 15ml and σ = 9ml. Nonni has developed a new ketchup recipe and has chosen 25 children at random to put the ketc

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter1: Variables, Expressions, And Integers

Section1.5: Adding Integers

Problem 45E

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If a child is chosen at random, the amount of ketchup he chooses to put on the spaghetti is 22 its normally distributed, with the bars μ = 15ml and σ = 9ml. Nonni has developed a new ketchup recipe and has chosen 25 children at random to put the ketchup on a standard spaghetti portion and comment on the taste quality. It is very important to know as accurately as possible what these 25 children will use a lot of tomato sauce on average so that the least sauce is wasted. What is the probability distribution of the average tomato sauce consumption of these 25 children and what are the values of its parameters?

Which of the following is correct.

Normal distribution with the parameters μ = 15 and σ = 9ml. 22
Normal distribution with parameters μ = 15 and σ = 9/25 ml.
Normal distribution with parameters μ = 15 and σ = 3 ml
The probability distribution cannot be predicted with the information provided.

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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