Explanation The data represents the caffeine per ounce for 8 top selling energy drinks and for 11 high-caffeine energy drinks. It has been stated that the mean caffeine per ounce is greater for the high-caffeine energy drinks. In this context, it is appropriate to compare the variability by using either standard deviation or interquartile range . Standard deviation is used in this context. Standard deviation: Software procedure: Step-by-step procedure to find the standard deviation using the MINITAB software: Choose Stat > Basic Statistics > Display Descriptive Statistics . In Variables enter the columns Top-Selling, High-caffeine . Choose option Statistics , and select standard deviation...

Introduction to Statistics and Data Analysis

5th Edition

ISBN: 9781305750999

Author: Peck Olson Devore

Publisher: CENGAGE C

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Question

Chapter 4.2, Problem 20E

To determine

Identify the most variable with respect to caffeine per ounce, among the two groups of energy drinks.

Delineate the measure of variability in this context.

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Chapter 4 Solutions

Introduction to Statistics and Data Analysis

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Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?

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Identify the most variable with respect to caffeine per ounce, among the two groups of energy drinks. Delineate the measure of variability in this context.

Solution Summary: The author identifies the most variable with respect to caffeine per ounce, among the two groups of energy drinks.

Identify the most variable with respect to caffeine per ounce, among the two groups of energy drinks. Delineate the measure of variability in this context.

Chapter 4 Solutions

Identify the most variable with respect to caffeine per ounce, among the two groups of energy drinks.

Delineate the measure of variability in this context.