Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 260 feet and a standard deviation of 58 feet. We randomly sample 49 fly balls.Part (a)If X = average distance in feet for 49 fly balls, then give the distribution of X. Round your standard deviation to two decimal places.X- ___ (____,___).Part (b)What is the probability that the 49 balls traveled an average of less than 252 feet? (Round your answer to four decimal places.)Sketch the graph. Scale the horizontal axis for X. Shade the region corresponding to the probability.Part (c)Find the 60th percentile of the distribution of the average of 49 fly balls. (Round your answer to two decimal places.) ft

Introduction: Define X as the random variable of interest here, denoting the distance that a…

Answered: Suppose that the distance of fly balls…

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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Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 260 feet and a standard deviation of 58 feet. We randomly sample 49 fly balls.

Part (a)

If
X
= average distance in feet for 49 fly balls, then give the distribution of
X.
Round your standard deviation to two decimal places.

X- ___ (____,___)

.
Part (b)

What is the probability that the 49 balls traveled an average of less than 252 feet? (Round your answer to four decimal places.)

Sketch the graph. Scale the horizontal axis for
X.
Shade the region corresponding to the probability.
Part (c)

Find the 60th percentile of the distribution of the average of 49 fly balls. (Round your answer to two decimal places.)
ft

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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