Answer:
B. binomial with n = 5 and p = 1/6
Step-by-step explanation:
Given that James reads that 1 out of 6 eggs contains salmonella bacteria.
So he never uses more than 5 eggs in cooking.
If eggs do or don't contain salmonella independently of each other, then
probability for any one egg to contain salmonella bacteria is the constant 1/6.
Also there are only two outcomes, either bacteria present or not.
Hence the number of contaminated eggs when James uses 5 chosen at random has the distribution is Binomial
Here n = no of trials = no of eggs he uses = 5
Probability = 1/6
So option B is right.
The answer is 2
Add like terms
Add 8 to -8 and the zero
To get 4x=8
Then divide 4 and 8 by 4
To get x=2
Answer:
490/10=49
Every 10 numbers is one number. I divided by 490 because it says less then 500
Step-by-step explanation:
Answer:
P = 0.4812
Step-by-step explanation:
First, we need to use here two expressions and then do the calculations.
The first one is the conditional probability which is:
P(B|A) = P(A∩B)/P(A) (1)
The second expression to use has relation with the Bayes's theorem which is the following:
P(D|C) = P(C|D)*P(D) / P(C|D)*P(D) + P(C|d)*P(d) (2)
Now, the expression (2) is the one that we will use to calculate the probability of a selected random bicyclist who tests positive for steroids.
So, in this case, we will call C for positive and D that is using steroids and d is the opposite of d, which means do not use steroids.
Then, the probabilities are the following:
P(D) = 8% or 0.08
P(C|D) = 96% or 0.96
P(C|d) = 9% or 0.09
P(d) = 1 - 0.08 = 0.92
With these data, let's replace in expression 2
P(D|C) = 0.96 * 0.08 /0.96 * 0.08 + 0.09*0.92
P(D|C) = 0.0768 / 0.1596
P(D|C) = 0.4812 or 48.12%