maths.free › Probability Theory › Sample spaces and the axioms

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.

Apstrādāts piemērs · 1 - (5/6)^4

Arithmetic · Arithmetic

Evaluate 1 - (5/6)^4

1 - \left(\frac{5}{6}\right)^{4}

Solis pēc kārtas

  1. 1 - \left(\frac{5}{6}\right)^{4} = 1 - \frac{625}{1296}

    Power: (5/6)^4 = 625/1296.

  2. 1 - \frac{625}{1296} = \frac{671}{1296}

    Simplify.

Atbildēt uz šo jautājumu
\frac{671}{1296} \approx 0.51775

Tagad tu Izvēlieties problēmu, vai ierakstiet vai zīmējiet savu. Katrs solis, attēls, atbilde slēpta, līdz jūs lūgt.

Saglabāt savu darbu

Bezmaksas konts pievieno piezīmes par katru nodarbību, ierakstu par to, ko esat pabeidzis, jūsu atrisinātās problēmas vienā vietā, un pasniedzēju, kuru varat jautāt par šo lapu. Pati matemātika ir pieejama ikvienam, kas ir vai nav parakstījies.

Pierakstīties Pieteikšanās

Šeit izmantotie simboli

Piesitiet visiem simboliem, kas apzīmē pilnu definīciju, attēlu un ko katrs burts tajā nozīmē.

Kā lietot: Sample spaces and the axioms

  1. Power: (5/6)^4 = 625/1296.
  2. Simplify.

Jautājumi, ko cilvēki vaicā

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.

Vairāk Probability Theory

Random variables and expectationThe common distributionsThe law of large numbers and the central limit theorem