The MAD is about 1.4 which means most of the bridges were between _ and _ centimeters tall 1●2●2.1/3B34●56 TThe data set represents the heights, incentimeters, of ten model bridges made foran engineering competition. / El conjunto dedatos representa las alturas, encentímetros, de diez puentes modelohechos para una competencia deingeniería.13, 14, 14, 16, 16, 16, 16, 18, 18, 19a. What is the mean? / ¿Qué es la media?(Calculator)16b. The MAD (Mean Absolute Deviation) isabout 1.4, which means most of thebridges were between 12.6 and19.4 centimeters tall. / La DMA(desviación media absoluta) es deaproximadamente 1.4, lo que significaque la mayoría de los puentes teníanentre (blanco 2) y (blanco 3) centímetrosde altura.

The heights (in centimeters) of the given model bridges are: 13, 14, 14, 16, 16, 16, 16, 18, 18, 19…

Answered: 2. 1/3 B The data set represents the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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The MAD is about 1.4 which means most of the bridges were between _ and _ centimeters tall

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2.
1/3
B
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6 T
The data set represents the heights, in
centimeters, of ten model bridges made for
an engineering competition. / El conjunto de
datos representa las alturas, en
centímetros, de diez puentes modelo
hechos para una competencia de
ingeniería.
13, 14, 14, 16, 16, 16, 16, 18, 18, 19
a. What is the mean? / ¿Qué es la media?
(Calculator)
16
b. The MAD (Mean Absolute Deviation) is
about 1.4, which means most of the
bridges were between 12.6 and
19.4 centimeters tall. / La DMA
(desviación media absoluta) es de
aproximadamente 1.4, lo que significa
que la mayoría de los puentes tenían
entre (blanco 2) y (blanco 3) centímetros
de altura.

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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