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Statistika Contoh

P (A) = 0.08

$P (A) = 0.08$ ,

P (B) = 0.78

$P (B) = 0.78$ ,

P (B g i v e n A) = 0.1

$P (B g i v e n A) = 0.1$

Langkah 1

Menggunakan kaidah Bayes,

P (A | B) = \frac{P (B | A) P (A)}{P (B)}

$P (A | B) = \frac{P (B | A) P (A)}{P (B)}$ .

P (A | B) = \frac{P (B | A) P (A)}{P (B)}

$P (A | B) = \frac{P (B | A) P (A)}{P (B)}$

Langkah 2

Substitusikan nilai-nilai yang diberikan

P (A) = 0.08

$P (A) = 0.08$ ,

P (B) = 0.78

$P (B) = 0.78$ , dan

P (B | A) = 0.1

$P (B | A) = 0.1$ ke dalam kaidah Bayes.

P (A | B) = \frac{(0.1) \cdot (0.08)}{0.78}

$P (A | B) = \frac{(0.1) \cdot (0.08)}{0.78}$

Langkah 3

Sederhanakan

P (A | B) = \frac{(0.1) \cdot (0.08)}{0.78}

$P (A | B) = \frac{(0.1) \cdot (0.08)}{0.78}$ .

Ketuk untuk lebih banyak langkah...

Langkah 3.1

Kalikan

0.1

$0.1$ dengan

0.08

$0.08$ .

P (A | B) = \frac{0.008}{0.78}

$P (A | B) = \frac{0.008}{0.78}$

Langkah 3.2

Bagilah

0.008

$0.008$ dengan

0.78

$0.78$ .

P (A | B) = 0.0\overline{102564}

$P (A | B) = 0.0\overline{102564}$

P (A | B) = 0.0\overline{102564}

$P (A | B) = 0.0\overline{102564}$

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[\begin{array}{c} x^{2} & \frac{1}{2} \\ \sqrt{π} & \int x d x \end{array}]

$[\begin{array}{c} x^{2} & \frac{1}{2} \\ \sqrt{π} & \int x d x \end{array}]$