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:
Gross pay per days is 5h+8 dollars
Step-by-step explanation:
we are given
total gross pay =35h+56 dollars
total number of days =7
we know that
gross pay per day = ( total gross pay)/(total number of days)
we can plug values
gross pay per day is
we can simplify it
Answer:
49
Step-by-step explanation:
7*7/1=49 This is because 7/1 equals 7 since 1 goes into 7, 7 times so really the equation 7*7 which still equals 49.
Answer:
=85
Step-by-step explanation:
I'm pretty sure I'm correct
Answer:
210
Step-by-step explanation:
1: Part/whole=%/100
2: 100-5=95
3: 3150/30=$105 uniforms.
Answer: $210
<em><u>Hope this helps.</u></em>
