Answer:
you don't have -i? because it should be -i
Answer:
Required Probability = 0.605
Step-by-step explanation:
Let Probability of people actually having predisposition, P(PD) = 0.03
Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97
Let PR = event that result are positive
Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99
Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02
So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)
Using Bayes' Theorem to calculate above probability;
P(PD/PR) =
=
=
= 0.605 .
Answer:
could u take a picture of the angles please
Step-by-step explanation:
Answer:
20x - 3
Step-by-step explanation:
<em>Finding the sum means adding the two together; combining like-terms.</em>
34x + 6 - 14x - 9
<em>34x</em><em> and </em><em>-14x</em><em> both have the variable </em><em>x</em><em> with them so we can combine those terms. Since </em><em>6</em><em> and </em><em>-9</em><em> have no variables with them, we can combine them.</em>
20x - 3
Answer:
400 grams.
Step-by-step explanation:
The mass of one medium egg is 50 grams. To solve for 8 medium eggs. Multiply.
50 * 8 = 400
400 grams.