| 000 | 01471cam a2200229 4500 | ||
|---|---|---|---|
| 008 | 710810s1971 nyu b 001 0 eng | ||
| 020 | _a0070092508 | ||
| 040 |
_aDLC _cDLC |
||
| 050 | 0 | 0 |
_aHA31.2 _b.B87 |
| 082 | 0 | 0 |
_a519.52 _bBUR |
| 100 | 1 | _aBurstein, Herman. | |
| 245 | 1 | 0 |
_aAttribute sampling tables and explanations : _btables for determining confidence limits and sample size based on close approximations of the binomial distribution / |
| 260 |
_aNew York : _bMcGraw-Hill, _cc1971. |
||
| 300 | _ax, 464 p. :ill, | ||
| 504 | _aIncludes bibliographical references: p. 454-455. | ||
| 520 | _aThis report describes, compares, and provides sample size selection criteria for the most common sampling plans for attribute data (i.e., data that is qualitative in nature such as Pass-Fail, Yes-No, Defect-Nondefect data). This report is being issued as a guide in prudently choosing the correct sampling plan to meet statistical plan objectives. The report discusses three types of sampling plans: AQL (Acceptable Quality Level expressed as a percent), RQL (Rejectable Quality Level as a percent), and the AQL/RQL plan which emphasizes both risks simultaneously. These plans are illustrated with six examples, one of which is an inventory of UF₆ cans whose weight must agree within 100 grams of its listed weight to be acceptable. | ||
| 590 | _aaia 03/04/2018 | ||
| 591 | _aLoans | ||
| 650 | 0 | _aSampling (Statistics). | |
| 942 |
_2ddc _cBOOK |
||
| 949 | _a519.52 BUR | ||
| 999 |
_c7679 _d7679 |
||