Answer:
k
Step-by-step explanation:
k
We can use the binomial theorem to find the probability that 0 out of the 15 samples will be defective, given that 20% are defective.
P(0/15) = (15C0) (0.2)^0 (1 - 0.2)^15 = (1)(1)(0.8)^15 = 0.0352
Then the probability that at least 1 is defective is equal to 1 - 0.0352 = 0.9648. This means there is a 96.48% chance that at least 1 of the 15 samples will be found defective. This is probably sufficient, though it depends on her significance level. If the usual 95% is used, then this is enough.
Answer:
<h3>QUESTION;</h3>
This data set represents the number of cups of flour used in different recipes.
What is the mean of this data set?
{12, 13, 23, 112}
Enter your answer as a fraction in simplest form in the box.
___ cups
<h3>ANSWER</h3><h3> 13 po </h3>
Step-by-step explanation:
<h3>#Carryonlearing</h3>
Answer:c
Step-by-step explanation:
when you set (x-6) and (x-1) to zero you get 6 and 1
