The following are the measurements of the breaking strength (in ounces) of a sample of 60 linen threads: 32.5 15.2 35.4 21.3 28.4 26.9 34.6 29.3 24.5 31.0 21.2 28.3 27.1 25.0 32.7 29.5 30.2 23.9 23.0 26.4 27.3 33.7 29.4 21.9 29.3 17.3 29.0 36.8 29.2 23.5 20.6 29.5 21.8 37.5 33.5 29.6 26.8 28.7 34.8 18.6 25.4 34.1 27.5 29.6 22.2 22.7 31.3 33.2 37.0 28.3 36.9 24.6 28.9 24.8 28.1 25.4 34.5 23.6 38.4 24.0 Group these measurements into a distribution having class limits [15.0-20.0), [20.0-25.0), ... , [35.0-40.0). Also convert the distribution into a less than cumulative distribution.

The following are the measurements of the breaking strength (in ounces) of a sample of 60 linen threads: 32.5 15.2 35.4 21.3 28.4 26.9 34.6 29.3 24.5 31.0 21.2 28.3 27.1 25.0 32.7 29.5 30.2 23.9 23.0 26.4 27.3 33.7 29.4 21.9 29.3 17.3 29.0 36.8 29.2 23.5 20.6 29.5 21.8 37.5 33.5 29.6 26.8 28.7 34.8 18.6 25.4 34.1 27.5 29.6 22.2 22.7 31.3 33.2 37.0 28.3 36.9 24.6 28.9 24.8 28.1 25.4 34.5 23.6 38.4 24.0 Group these measurements into a distribution having class limits [15.0-20.0), [20.0-25.0), ... , [35.0-40.0). Also convert the distribution into a less than cumulative distribution.

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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Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

The following are the measurements of the breaking strength (in ounces) of a sample of 60 linen
threads:
32.5 15.2
35.4 21.3 28.4 26.9 34.6 29.3 24.5
31.0
21.2 28.3
27.1 25.0 32.7 29.5
30.2 23.9 23.0
26.4
27.3 33.7
29.4 21.9
29.3
17.3
29.0 36.8
29.2
23.5
20.6 29.5
21.8
37.5
33.5
29.6
26.8
28.7 34.8
18.6
25.4 34.1
27.5
29.6 22.2 22.7 31.3 33.2 37.0
28.3
36.9 24.6 28.9
24.8 28.1
25.4
34.5
23.6 38.4
24.0
Group these measurements into a distribution having class limits [15.0-20.0), [20.0-25.0), ...
, [35.0-40.0). Also convert the distribution into a less than cumulative distribution.

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