The kind of probability is being used when one calculates the probability that a randomly selected adult who works from home and has a bachelor's degree or higher is <em>relative frequency.</em> This probability is based on actual measurements, like a survey. Using this method will enable us to calculate for the probability of each variable occurring, or a combination of two or more variables with respect to the number of trials in the sample.
Answer:
0.0645 = 6.45% probability that exactly 10 employees will be tested in order to find 3 positives
Step-by-step explanation:
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
40% of the employees have positive indications of asbestos in their lungs
This means that 
a) Find the probability that exactly 10 employees will be tested in order to find 3 positives
2 within the first 9(
when
), and the 10th, with 0.4 probability. So


0.4*0.1612 = 0.0645
0.0645 = 6.45% probability that exactly 10 employees will be tested in order to find 3 positives
Your answer is : B hope this helps
Answer:
C
Step-by-step explanation:
Given
30(
x - 2) + 40(
y - 4)
Multiply each of the terms in the first parenthesis by 30 and multiply each of the terms in the second parenthesis by 40.
= 15x - 60 + 30y - 160
= 15x + 30y - 220 → C