Answer:
The probability of SFS and SSF are same, i.e. P (SFS) = P (SSF) = 0.1311.
Step-by-step explanation:
The probability of a component passing the test is, P (S) = 0.79.
The probability that a component fails the test is, P (F) = 1 - 0.79 = 0.21.
Three components are sampled.
Compute the probability of the test result as SFS as follows:
P (SFS) = P (S) × P (F) × P (S)
Compute the probability of the test result as SSF as follows:
P (SSF) = P (S) × P (S) × P (F)
Thus, the probability of SFS and SSF are same, i.e. P (SFS) = P (SSF) = 0.1311.
I hope this helps! It’s been a while since I’ve done slope-intercept though, so I might be a little rusty
Or 1 kilogram<span> = 2 pounds 3 ounces. To change from </span>KILOGRAMS<span> TO POUNDS we can multiply by 2.2. So is we have a 2kg bag of </span>flour<span> and we want to know what this is in pounds we can work it out like this: 2kg = 2 x 2.2lbs = 4.4lbs. A. Try these. </span>1<span>) 3kg = lbs. 2) 6kg = lbs. 3) 7kg = lbs. 4) 12kg = lbs. </span>5<span>) 14kg = lbs. 6(
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Answer:
D
Step-by-step explanation:
I usually use a z-score table, but you can do this with a calculator.
If we go to a z-score table, we first look up the first two digits (in this case, 2.8) in the far left column. Then we find the hundredths digit in the top row (0.07). Where they intersect is P(z < 2.87).
P(z < 2.87) = 0.9979
Answer D.
