পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Attributes Control Charts (p, np, c, u)× | দ্বি-অনুপাত z-পরীক্ষা× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার≠ | Process / pipeline | Hypothesis test |
| উদ্ভবের বছর≠ | 1931 | 1900 |
| প্রবর্তক≠ | Walter A. Shewhart | Karl Pearson / classical large-sample z approximation |
| ধরন≠ | Statistical process control charts for count/proportion data | Parametric proportion comparison |
| মৌলিক উৎস≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2 | Fleiss, J. L., Levin, B., & Paik, M. C. (2003). Statistical Methods for Rates and Proportions (3rd ed.). Wiley. DOI ↗ |
| অপর নাম≠ | p-chart, np-chart, c-chart, u-chart | z-test for proportions, two-sample proportion test, one-proportion z-test, Oran Testi — z Testi (Oranlar) |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | Attributes control charts extend Shewhart's framework to count and proportion data — quality characteristics that are classified rather than measured. The p- and np-charts monitor the proportion or number of defective items using the binomial distribution, while the c- and u-charts monitor the number of defects per unit using the Poisson distribution. They are the standard statistical-process-control tools when inspection yields pass/fail or defect counts rather than continuous measurements. | The proportion test (z-test for proportions) is a parametric hypothesis test that compares one or two sample proportions against a reference value or each other. Grounded in the large-sample normal approximation formalized by Fleiss, Levin, and Paik (2003), it is the standard tool for binary outcome comparisons when samples are large enough for the central limit theorem to apply. |
| ScholarGateডেটাসেট ↗ |
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