E and F are two events and that P(E)=0.3 and P(F|E)=0.5. Thus, P(E and F)=0.15
Bayes' theorem is transforming preceding probabilities into succeeding probabilities. It is based on the principle of conditional probability. Conditional probability is the possibility that an event will occur because it is dependent on another event.
P(F|E)=P(E and F)÷P(E)
It is given that P(E)=0.3,P(F|E)=0.5
Using Bayes' formula,
P(F|E)=P(E and F)÷P(E)
Rearranging the formula,
⇒P(E and F)=P(F|E)×P(E)
Substituting the given values in the formula, we get
⇒P(E and F)=0.5×0.3
⇒P(E and F)=0.15
∴The correct answer is 0.15.
If, E and F are two events and that P(E)=0.3 and P(F|E)=0.5. Thus, P(E and F)=0.15.
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Step-by-step explanation:
1a. Just add both of them.
1b. We just subtract both of the functions.
1c.
1d.
Answer:
Mark’s method is correct, because even though it is impossible to deliver mail to 1.2 houses in a minute, 1.2 represents the unit rate of houses per minute.
Step-by-step explanation:
Just took the test.
Answer:
he is currently 34
Step-by-step explanation:
x + 6 = 5(x-26)
x + 6 = 5x - 130
+130 +130
x + 136 = 5x
-x -x
136 = 4x
/4 /4
x = 34
You can check your work as well:
34 + 6 = 40
34 - 26 = 8
8 x 5 = 40
