Answer:
14.78% probability that a sample of 10 covers will contain exactly 2 defectives
Step-by-step explanation:
For each cover, there are only two possible outcomes. Either it is defective, or it not. The probability of a cover being defective is independent from other covers. So we use the binomial probability distribution to solve this question.
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.
If the fraction of defective covers produced on the USB Mouse Factory production line is known to be 8%, what is the probability that a sample of 10 covers will contain exactly 2 defectives?
This is when . So
14.78% probability that a sample of 10 covers will contain exactly 2 defectives
1 hour = 60 minutes
6 hours = 60 x 6 = 360 minutes
<span>4 bracelets in 90 minutes
</span>?<span> bracelets in 360 minutes
360x 4 / 90 = 16
answer
16 </span>bracelets in <span>6 hours</span>
Answer: the length is 64
Step-by-step explanation: 2880 divided by 45 is 64
A. Numbers get smaller as you move to the left on the number line.
Irrational, because if you simplify the root V72=6V2