Answer:
The probability of eating pizza given that a new car is bought is 0.952
Step-by-step explanation:
This kind of problem can be solved using Baye’s theorem of conditional probability.
Let A be the event of eating pizza( same as buying pizza)
while B is the event of buying a new car
P(A) = 34% = 0.34
P(B) = 15% = 15/100 = 0.15
P(B|A) = 42% = 0.42
P(B|A) = P(BnA)/P(A)
0.42 = P(BnA)/0.34
P(B n A) = 0.34 * 0.42 = 0.1428
Now, we want to calculate P(A|B)
Mathematically;
P(A|B = P(A n B)/P(B)
Kindly know that P(A n B) = P(B n A) = 0.1428
So P(A|B) = 0.1428/0.15
P(A|B) = 0.952
D as you can see on the number line d is 1/3 of the way to -2
Answer:
x=8
Step-by-step explanation:
The ratio of a side of PQRS to the corresponding side in TUVW. is 6:4=3:2.
The ratio of RS:VW=3:2. RS=12, and VW=x. 12:x=3:2. 3 multiplied by 4 is 12, so 2 multiplied by 4 is x. So, the makes x=8.
Answer:
150
Step-by-step explanation:
i did addition so yeah
Ausation<span> vs. </span>Correlation<span>. </span>Causation<span> at its simplest definition refers to determining the cause or reason for some sort of phenomenon. ... A </span>correlation<span> is simply a recognized </span>relationship between<span> two things or events, but it does not imply</span>causation<span>. Rather, in cases of </span>correlation<span>, one thing or event predicts another. hope it helps</span>
