Question 14 Which of the following statements is NOT true for a normal distribution? The areas on each side of the mean are the same. Different normal random variables with the same mean but different standard deviations are centered at different points. It is bell-shaped. The total area under the curve is 1.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Question 16
Which of the following statements is NOT true for a normal distribution?
The areas on each side of the mean are the same.
Different normal random variables with the same mean but different standard
deviations are centered at different points.
It is bell-shaped.
The total area under the curve is 1.
Question 4 fti
Which of the following is an example of a binomial random variable?
Observing the next 50 babies born at a local hospital. The random variable X is
defined as, "The time of the delivery for each baby."
Observing the next 50 babies born at a local hospital. The random variable X is
defined as, "The age of the mother of each baby"
Observing the next 50 babies born at a local hospital. The random variable X is
defined as, "The height of each baby."
Observing the next 50 babies born at a local hospital are male or female. The
random variable X is defined as, "The number of female babies born."
Question 9
If the probability of a male growing to be over 6 feet 5 inches tall is 0.003, that
indicates that a male growing to be over 6 feet 5 inches tall
is not likely to happen.
will absolutely happen.
is likely to happen.
will absolutely not happen..
Transcribed Image Text:Question 16 Which of the following statements is NOT true for a normal distribution? The areas on each side of the mean are the same. Different normal random variables with the same mean but different standard deviations are centered at different points. It is bell-shaped. The total area under the curve is 1. Question 4 fti Which of the following is an example of a binomial random variable? Observing the next 50 babies born at a local hospital. The random variable X is defined as, "The time of the delivery for each baby." Observing the next 50 babies born at a local hospital. The random variable X is defined as, "The age of the mother of each baby" Observing the next 50 babies born at a local hospital. The random variable X is defined as, "The height of each baby." Observing the next 50 babies born at a local hospital are male or female. The random variable X is defined as, "The number of female babies born." Question 9 If the probability of a male growing to be over 6 feet 5 inches tall is 0.003, that indicates that a male growing to be over 6 feet 5 inches tall is not likely to happen. will absolutely happen. is likely to happen. will absolutely not happen..
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