Understanding Statistics and Statistical Myths
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35

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Published By CRC Press

9781498727457, 9781498727464

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Myth 7: % Study (% Contribution, Number of Distinct Categories) Is the Best Criterion for Evaluating a Measurement System for Process Improvement

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-8 ◽

2015 ◽

pp. 63-76

Keyword(s):

Process Improvement ◽

Measurement System

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Myth 6: Parts and Operators for an MSA Do Not Have to Be Randomly Selected

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-7 ◽

2015 ◽

pp. 55-62

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Myth 30: No Assumptions Required When the Data Speak for Themselves

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-31 ◽

2015 ◽

pp. 481-512

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Myth 2: Proportions and Percentages Are Discrete Data

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-3 ◽

2015 ◽

pp. 17-24

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Myth 24: Specifications Don’t Belong on Control Charts

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-25 ◽

2015 ◽

pp. 381-392

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Myth 22: Control Charts Are Not Tests of Hypotheses

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-23 ◽

2015 ◽

pp. 319-358

Keyword(s):

Control Charts ◽

Tests Of Hypotheses

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Myth 1: Two Types of Data—Attribute/Discrete and Measurement/Continuous

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-2 ◽

2015 ◽

pp. 1-16

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Myth 18: ±3 Sigma Limits Are the Most Economical Control Chart Limits

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-19 ◽

2015 ◽

pp. 229-252

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Myth 4: Sample Standard Deviation Is Unbiased

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-5 ◽

2015 ◽

pp. 35-44

Keyword(s):

Standard Deviation ◽

Sample Standard Deviation

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Myth 3: Is the Correct Formula for Sample Standard Deviation

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-4 ◽

2015 ◽

pp. 25-34

Keyword(s):

Standard Deviation ◽

Sample Standard Deviation ◽

Correct Formula

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