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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Answer:
Step-by-step explanation:
1. The slope is -5/2
2. There is no slope for the second one it's just y=3
3. The slope is 3
4. These are perpendicular lines
5. These lines are parallel.
6. These lines are neither perpendicular nor parallel.
7. These lines are perpendicular
8. y = 4/3x - 2
9. y = -1/2x + 5
10. x = -1
Hope this helps!
Answer:
that looks like it is right
What you would have to do is take the 18 and double it because 50% doubled is 100% so when you double 18 it is 36
2=12
i know that one for a fact u just have to mutiply
