Using & Understanding Mathematics: A Quantitative Reasoning Approach (7th Edition)
Using & Understanding Mathematics: A Quantitative Reasoning Approach (7th Edition)
7th Edition
ISBN: 9780134715919
Author: Bennett
Publisher: PEARSON
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Chapter 6.B, Problem 17E

Part a:

To determine

The mean, median, and range for each of the two data sets for the given table which gives the fraction of games won by six Major League Baseball teams in the American and National Leagues for the 2016 season.

Part b:

To determine

The five-number summary and draw a box plot for each of the two data sets for the given table which gives the fraction of games won by six Major League Baseball teams in the American and National Leagues for the 2016 season.

    National LeagueAmerican League
    0.420 0.364
    0.463 0.420
    0.484 0.500
    0.537 0.549
    0.586 0.584
    0.640 0.586

Refer explanation

Part c:

To determine

The standard deviation for each of the two data sets for the given which gives the fraction of games won by six Major League Baseball teams in the American and National Leagues for the 2016 season.

    National LeagueAmerican League
    0.420 0.364
    0.463 0.420
    0.484 0.500
    0.537 0.549
    0.586 0.584
    0.640 0.586

Part d:

To determine

The standard deviation for each of the two data sets using range rule of thumb for the given table which gives the fraction of games won by six Major League Baseball teams in the American and National Leagues for the 2016 season.

    National LeagueAmerican League
    0.420 0.364
    0.463 0.420
    0.484 0.500
    0.537 0.549
    0.586 0.584
    0.640 0.586

Part e:

To determine

To compare: The two data sets in terms of their center and variation for the given table which gives the fraction of games won by six Major League Baseball teams in the American and National Leagues for the 2016 season.

    National LeagueAmerican League
    0.420 0.364
    0.463 0.420
    0.484 0.500
    0.537 0.549
    0.586 0.584
    0.640 0.586

The fraction of games won in both the sets are almost similar..

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