Difference between revisions of "TDSM 2.1"
From The Data Science Design Manual Wikia
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<i>A</i>: event that people like butter | <i>A</i>: event that people like butter | ||
| + | |||
<i>B</i>: event that people like jelly | <i>B</i>: event that people like jelly | ||
<math>P(B|A) = \frac{P(A\cap B)}{P(A)} = \frac{0.78}{0.8} = 0.975</math> | <math>P(B|A) = \frac{P(A\cap B)}{P(A)} = \frac{0.78}{0.8} = 0.975</math> | ||
Latest revision as of 16:47, 11 September 2017
A: event that people like butter
B: event that people like jelly
[math]P(B|A) = \frac{P(A\cap B)}{P(A)} = \frac{0.78}{0.8} = 0.975[/math]
