Suppose the following table gives the extra travel time each year, in hours, for peak-period travelers in urban areas with more than 3 million people.Urban AreaAnnual Hours ofDelay per TravelerLos Angeles–Long Beach–Santa Ana, Ca67San Francisco–Oakland, CA50Atlanta, GA61Washington (D.C.–VA–MD)66Dallas–Fort Worth–Arlington, TX53Houston, TX57Find the mean of the extra travel time each year, in hours, for peak-period travelers in urban areas with more than 3 million people. (Round your answer to two decimal places.)hrWhat is the standard deviation for these data? (Round your answer to two decimal places.)hrthe standard deviation isnt 6.8993

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Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.1: Stem-and-leaf Plots And Histograms

Problem 13E

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Suppose the following table gives the extra travel time each year, in hours, for peak-period travelers in urban areas with more than 3 million people.

Urban Area	Annual Hours of Delay per Traveler
Los Angeles–Long Beach–Santa Ana, Ca	67
San Francisco–Oakland, CA	50
Atlanta, GA	61
Washington (D.C.–VA–MD)	66
Dallas–Fort Worth–Arlington, TX	53
Houston, TX	57

Find the mean of the extra travel time each year, in hours, for peak-period travelers in urban areas with more than 3 million people. (Round your answer to two decimal places.)
hr

What is the standard deviation for these data? (Round your answer to two decimal places.)
hr

the standard deviation isnt 6.8993

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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