<h2>
Answer with explanation:</h2>
According to the Binomial probability distribution ,
Let x be the binomial variable .
Then the probability of getting success in x trials , is given by :
, where n is the total number of trials or the sample size and p is the probability of getting success in each trial.
As per given , we have
n = 15
Let x be the number of defective components.
Probability of getting defective components = P = 0.03
The whole batch can be accepted if there are at most two defective components. .
The probability that the whole lot is accepted :
∴The probability that the whole lot is accepted = 0.99063
For sample size n= 2500
Expected value : 
The expected value = 75
Standard deviation : 
The standard deviation = 8.53
Answer:
answer: All real numbers, or No solutions
Step-by-step explanation:
okay, the equation says 4(x+4)=(4x+16)
if we apply 4 to the parenthesis we get 4*(x+4)=4x+16
so basically the equation is telling us 4x+16=4x+16, which gives us all real numbers or No solutions as the answer
Answer:
A. The experimental probability of choosing a heart is 1/26 greater than the theoretical probability of choosing a heart.
Step-by-step explanation:
I got this question right on Edge.
:)))
Answer:
0.1875, or 3/16
Step-by-step explanation:
The formula for density is mass/volume.
I hope this helps :)
