The application of statistical techniques and concepts to maximize the amount and quality of information resulting from experiments. After a brief introductory summary of fundamental concepts in probability and statistics, topics considered will include probability distributions, sampling distributions, estimation and confidence intervals for parameters of statistical distributions, hypothesis testing, design and analysis of variance for single and multiple-factor experiments, regression analysis, estimation and confidence intervals for parameters of non-statistical models, and statistical quality control.
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| Name | Reviews |
|---|---|
| Ronald Lasky | 5 |
| Wesley Marrero | 2 |
| Pushpendra Singh | 0 |
| Vikrant Vaze | 0 |
| Wesley Marrero Colon | 0 |
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