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Sample spaces and the axioms
Kolmogorov's axioms, events as sets, conditional probability and Bayes.
Probability is a measure on events: non-negative, total 1, additive over disjoint events. Conditional probability P(A|B) = P(A ∩ B)/P(B), and Bayes reverses the conditioning. Picture it: a tree diagram; multiply along branches, add across leaves. Think it: the axioms are measure theory with total mass 1, which is why the two subjects merged.
Үйлдэл · 1 - (5/6)^4
Алхам алхмаар
- 1 - \left(\frac{5}{6}\right)^{4} = 1 - \frac{625}{1296}
Power: (5/6)^4 = 625/1296.
- 1 - \frac{625}{1296} = \frac{671}{1296}
Simplify.
Хариулт
Одоо та Даалгавар сонго, эсвэл бич, эсвэл зур. Бүх алхам, зураг, хариулт нь асуулт асуух хүртэл нуугдаж байдаг.
Үнэгүй бүртгэл нь хичээл бүрийн тэмдэглэл, төгссөн хичээл, шийдсэн даалгаврын тэмдэглэл, энэ хуудсан дээр асууж болох багшийг нэгтгэж өгдөг. Математик нь бүртгэлтэй, бүртгэлтэйгүй хэн бүхэнд нээлттэй.
Бүртгүүлэх НэвтрэхЭнд ашигласан тэмдэгтүүд
Бүх тодорхойлолт, зураг, үсгийн утгыг харахын тулд ямар ч тэмдэгтийг дарна уу.
Яаж: Sample spaces and the axioms
- Power: (5/6)^4 = 625/1296.
- Simplify.
Хүмүүс асуудаг асуултууд
What is the difference between probability and statistics?
Probability goes from a known model to what the data should look like; statistics goes from data back to the model. Probability theory is the deductive half.
What does the law of large numbers promise?
That the average of many independent samples converges to the expected value. It says nothing about any single trial.
Бүх зүйл Probability Theory
Random variables and expectationThe common distributionsThe law of large numbers and the central limit theorem