Module 10_MAT122-Application of integration in probability
| dc.contributor.author | Dr Beth Kiratu | |
| dc.date.accessioned | 2023-04-24T11:52:56Z | |
| dc.date.available | 2023-04-22T12:30:24Z | |
| dc.date.available | 2023-04-24T11:52:56Z | |
| dc.date.issued | 2023-04-22 | |
| dc.description | In this module you learn about the application of integration in probability. The main problem facing every planner is uncertainty. Knowing when an an event or outcome is likely to happen can guide the decision making process. Probabilities tell us whether the results of an experiment are likely to be a coincidence. Random variable encodes possible outcomes of a random selection. The probability density function(an integral) is a mathematical model for continuous random variables. | |
| dc.identifier.uri | https://erepository.ouk.ac.ke/handle/123456789/289.2 | |
| dc.title | Module 10_MAT122-Application of integration in probability |
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