A certain species of fawns have a body weight that is approximately normally distributed, with mean μ = 20.5 kilograms and standard deviation σ = 3.7 kilograms.a) If a fawn is randomly selected, what is the probability that its weight is less than 15 kilograms?b) If 35 fawns are randomly selected and weighed, what is the probability that their mean weight is at least22 kilograms?write a complete probability statement, draw a corresponding picture, and answer the question.

a) From the given information, µ= 20.5 g, σ=3.7 and the sample size=35. Consider, the…

Answered: A certain species of fawns have a body…

College Algebra

10th Edition

ISBN:9781337282291

Author:Ron Larson

Publisher:Ron Larson

Chapter8: Sequences, Series,and Probability

Section8.7: Probability

Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....

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A certain species of fawns have a body weight that is approximately normally distributed, with mean μ = 20.5 kilograms and standard deviation σ = 3.7 kilograms.

a) If a fawn is randomly selected, what is the probability that its weight is less than 15 kilograms?
b) If 35 fawns are randomly selected and weighed, what is the probability that their mean weight is at least

22 kilograms?

write a complete probability statement, draw a corresponding picture, and answer the question.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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