A denominator (mm) for the markers produced in one of the Han workshops for the quality control of each of the following table shows the inside diameter of 25 samples required: Ig 1 - the arithmetic mean, 2- The range. No ofX2X3No ofX1SampleX4XịX2X3X4Sample136404039143536353623940363615353636363363636391635353936440393640173740413953939403918353636396.4036363619364039367363639362035343434841414037213640353593635353622363635361036363636233539374111363939402439404039123636363625363636391336363639

Name: A denominator (mm) for the markers produced in one of the Han workshop
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Description: A denominator (mm) for the markers produced in one of the Han workshops for the quality control of each of the following table shows the inside diameter of 25 samples required: Ig 1 - the arithmetic mean, 2- The range. No ofX2X3No ofX1SampleX4XịX2X3X

Given information: The data represents the values of denominator in mm for 25 samples with 4…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A denominator (mm) for the markers produced in one of the Han workshops for the quality control of each of the following table shows the inside diameter of 25 samples required: Ig 1 - the arithmetic mean, 2- The range.

No of
X2
X3
No of
X1
Sample
X4
Xị
X2
X3
X4
Sample
1
36
40
40
39
14
35
36
35
36
2
39
40
36
36
15
35
36
36
36
3
36
36
36
39
16
35
35
39
36
4
40
39
36
40
17
37
40
41
39
5
39
39
40
39
18
35
36
36
39
6.
40
36
36
36
19
36
40
39
36
7
36
36
39
36
20
35
34
34
34
8
41
41
40
37
21
36
40
35
35
9
36
35
35
36
22
36
36
35
36
10
36
36
36
36
23
35
39
37
41
11
36
39
39
40
24
39
40
40
39
12
36
36
36
36
25
36
36
36
39
13
36
36
36
39

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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