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0000091049 |
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20200709093000.0 |
| 008 |
170529s2016 flu eng |
| 020 |
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|a 9781498727457
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| 040 |
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|a UniSZA
|e rda
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| 050 |
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|a QA276
|b .C37 2016
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| 090 |
0 |
0 |
|a QA276
|b .C37 2016
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| 100 |
1 |
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|a Castaneda-Mendez, Kicab ,
|e author
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| 245 |
1 |
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|a Understanding statistics and statistical myths :
|b how to become a profound learner
|c Kicab Castaneda-Mendez
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| 264 |
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1 |
|a Boca Raton :
|b CRC Press
|c 2016
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| 300 |
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|a xlviii, 537 pages :
|b illustration ;
|c 25 cm.
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| 336 |
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|a text
|2 rdacontent
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| 337 |
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|a unmediated
|2 rdamedia
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| 338 |
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|a volume
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index
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| 505 |
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|a 1. Two types of data : attribute/discrete and measurement/continuous -- 2. Proportions and percentages are discrete data -- 3. : s = v (xi --x)2/(n -1) is the correct -- 4. Sample standard deviation -- 5. Variances can be added but not standard deviations -- 6. Parts and operators for an MSA do not have to be randomly selected -- 7. %study (% contribution, number of distinct categories) is the best criterion for evaluating a measurement system for process improvement -- 8. Only sigma can compare different processes and metrics -- 9. Capability is not percent/proportion of good units -- 10. p = probability of making an error -- 11. Need more data for discrete data than continuous data analysis -- 12. Nonparametric tests are less powerful than parametric tests -- 13. Sample size of 30 is acceptable (for statistical significance) -- 14. Can only fail to reject Ho, can never accept Ho -- 15. Control limits are +3 standard deviations from the center line -- 16. Control chart limits are empirical limits -- 17. Control chart limits are not probability limits -- 18. +3 sigma limits are the most economical control chart limits -- 19. Statistical inferences are inductive inferences -- 20. There is one universe or population if data are homogeneous -- 21. Control charts are analytic studies -- 22. Control charts are not tests of hypotheses -- 23. Process needs to be stable to calculate process capability -- 24. Specifications don't belong on control charts -- 25. Identify and eliminate assignable or assignable causes of variation -- 26. Process needs to be stable before you can improve it -- 27. Stability (homogeneity) is required to establish a baseline -- 28. A process must be stable to be predictable -- 29. Adjusting a process based on a single defect is tampering, causing increased process
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| 650 |
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|a Problem solving
|x Statistical methods
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| 650 |
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|a Statistics
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| 999 |
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|a 1000170030
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
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