By Bhisham C. Gupta
This ebook is a table reference for 6 Sigma eco-friendly belts or novices who're now not conversant in facts. As Six Sigma staff contributors, eco-friendly belts might help decide on, acquire facts for, and help with the translation of various statistical or quantitative instruments in the context of the Six Sigma technique. This ebook will function a very good tutorial device constructing a powerful realizing of uncomplicated records together with the best way to describe info either graphically and numerically. It’s particular concentration is on ideas, functions, and interpretations of the statistical instruments used in the course of, and as a part of, the layout, degree, research, increase, and keep an eye on (DMAIC) technique. not like such a lot books for 6 Sigma newbies, this booklet isn't just an evidence of Six Sigma, it bargains real instruments and theories to assist practitioners greater comprehend and practice their jobs in gathering and studying info. Readers utilizing this booklet will learn how to comprehend the advantages of info as an aim degree, in addition to the method of utilizing chosen instruments for interpreting information and the way to make judgements in response to quantitative inputs.
record of Figures
record of Tables
desk of Contents
1. atmosphere the Context for 6 Sigma
2. Getting begun with records
three. Describing info Graphically
four. Describing info Numerically
6. Discrete Random Variables and Their chance Distributions
7. non-stop Random Variables and Their chance Distributions
eight. Sampling Distributions
nine. aspect and period Estimation
10. speculation trying out
eleven. laptop assets to help utilized data: utilizing MINITAB® and JMP® Statistical software program
concerning the Authors
Contents of CD-ROM
Read or Download Applied Statistics for the Six Sigma Green Belt PDF
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Extra info for Applied Statistics for the Six Sigma Green Belt
To determine the median of a data set we take the following steps. Step 1. Arrange the measurements in the data set in ascending order and rank them from 1 to n. Step 2. Find the rank of the median which is equal to (n ϩ1) / 2. Step 3. Find the value corresponding to the rank (n ϩ 1) / 2 of the median. This value represents the median of the data set. 3 To illustrate this method we consider a simple example. The following data give the length of an alignment pin for a printer shaft in a batch of production: 30, 24, 34, 28, 32, 35, 29, 26, 36, 30, 33 Find the median alignment pin length.
Having completed the frequency distribution table, now we are ready to construct the histograms. To construct the frequency histogram, we mark the classes on the x-axis and the frequencies on the y-axis. Remember that when we mark the classes on the x-axis we must make sure there is no gap between the classes. Then on each class marked on the x-axis, place a rectangle where the height of each rectangle is proportional to the frequency of the corresponding class. 6. 6 so that instead of plotting the frequencies, we can plot relative frequencies.
2 Median We denote the median of a data set by Md. To determine the median of a data set we take the following steps. Step 1. Arrange the measurements in the data set in ascending order and rank them from 1 to n. Step 2. Find the rank of the median which is equal to (n ϩ1) / 2. Step 3. Find the value corresponding to the rank (n ϩ 1) / 2 of the median. This value represents the median of the data set. 3 To illustrate this method we consider a simple example. The following data give the length of an alignment pin for a printer shaft in a batch of production: 30, 24, 34, 28, 32, 35, 29, 26, 36, 30, 33 Find the median alignment pin length.