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The distribution of head circumference for full term newborn female infants is approximately normal with a mean of 33.8 cm and a standard deviation of 1.2 cm. Macrocephaly refers to an overly large head in infants and is often classified as any head circumference larger than the lower 98% of the distribution. For full term newborn female infants, determine the head circumference of a female infant such that 98% of the female infants have their head circumferences less than this female infant. Enter your answer using one decimal place. 16.4

The distribution of head circumference for full term newborn female infants is approximately normal with a mean of 33.8 cm and a standard deviation of 1.2 cm. Macrocephaly refers to an overly large head in infants and is often classified as any head circumference larger than the lower 98% of the distribution. For full term newborn female infants, determine the head circumference of a female infant such that 98% of the female infants have their head circumferences less than this female infant. Enter your answer using one decimal place. 16.4

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The distribution of head circumference for full term newborn female infants is approximately normal with a mean of 33.8 cm and a standard deviation of 1.2 cm. Macrocephaly refers to an overly large head in infants and is often classified as any head circumference larger than the lower 98% of the distribution. For full term newborn female infants, determine the head circumference of a female infant such that 98% of the female infants have their head circumferences less than this female infant. Enter your answer using one decimal place. 16.4 eTextbook and Media
Transcribed Image Text:The distribution of head circumference for full term newborn female infants is approximately normal with a mean of 33.8 cm and a standard deviation of 1.2 cm. Macrocephaly refers to an overly large head in infants and is often classified as any head circumference larger than the lower 98% of the distribution. For full term newborn female infants, determine the head circumference of a female infant such that 98% of the female infants have their head circumferences less than this female infant. Enter your answer using one decimal place. 16.4 eTextbook and Media
What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable? Select each correct answer. A discrete random variable has countable values, a continuous random variable has values that are not countable. A continuous random variable has countable values, a discrete random variable has values that are not countable. - The probability that a continuous random variable x assumes a value within a certain interval is given by the area under the curve between the two limits of the interval. For a discrete random variable the value is given by the summation of values between those two points. The probability distribution of a continuous random variable assigns probabilities to points while that of a discrete random variable assigns probabilities to intervals. The probability distribution of a discrete random variable assigns probabilities to points while that of a continuous random variable assigns probabilities to intervals. eTextbook and Medin
Transcribed Image Text:What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable? Select each correct answer. A discrete random variable has countable values, a continuous random variable has values that are not countable. A continuous random variable has countable values, a discrete random variable has values that are not countable. - The probability that a continuous random variable x assumes a value within a certain interval is given by the area under the curve between the two limits of the interval. For a discrete random variable the value is given by the summation of values between those two points. The probability distribution of a continuous random variable assigns probabilities to points while that of a discrete random variable assigns probabilities to intervals. The probability distribution of a discrete random variable assigns probabilities to points while that of a continuous random variable assigns probabilities to intervals. eTextbook and Medin
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