Refer the given table below and identify the indicator that can be used to detect outlier from multiple variables? Also, identify and report how many respondents have outliers in the given table? Respondents Mahalanobis Distance ValueMahalanobis Chi- Square Significance Z-Score Value Mean Value8075.1590.00013.242.08333974.7370.00423.292.6818273.7110.00124.563.45227873.4290.02012.985.69817271.0930.0003-3.296.3213569.4420.01286.322.314

Name: Refer the given table below and identify the indicator that can be use
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Description: Refer the given table below and identify the indicator that can be used to detect outlier from multiple variables? Also, identify and report how many respondents have outliers in the given table? Respondents Mahalanobis Distance ValueMahalanobis Ch

The indicator that can be used to detect outlier from multiple variables is the Mahalanobis Chi-…

Answered: Refer the given table below and…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 8PPS

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Refer the given table below and identify the indicator that can be used to detect outlier from multiple variables? Also, identify and report how many respondents have outliers in the given table?

Respondents	Mahalanobis Distance Value	Mahalanobis Chi- Square Significance	Z-Score Value	Mean Value
80	75.159	0.0001	3.24	2.083
339	74.737	0.0042	3.29	2.681
82	73.711	0.0012	4.56	3.452
278	73.429	0.0201	2.98	5.698
172	71.093	0.0003	-3.29	6.321
35	69.442	0.0128	6.32	2.314

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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