Answer:
0.1199 = 11.99% probability that at least 5 of them did not finish the marathon
Step-by-step explanation:
For each runner, there are only two possible outcomes. Either they finished the marathon, or they did not. The probability of a runner completing the marathon is independent of any other runner. This means that the binomial probability distribution is used 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.
97.4% finished:
This means that 100 - 97.4 = 2.6% = 0.026 did not finish, which means that 
100 runners are chosen at random
This means that 
Find the probability that at least 5 of them did not finish the marathon
This is:

In which









0.1199 = 11.99% probability that at least 5 of them did not finish the marathon
Answer:
1.05 ± 0.05 lbs
Step-by-step explanation:
Hi!
We can calculate this interval with the z-score of the 90% which is (by convention) 1.645
The interval is calculated as follows:

where x_m is the mean, σ the standar deviation and n is the number of samples:
replacing these values we get:

*rounded to the first decimal*
1.05 ± 0.05
Answer:
2,500 German chocolate cake boxes.
1,500 Swiss chocolate cake boxes.
Step-by-step explanation:
Let 'S' be the number of Swiss chocolate cakes boxed and 'G' the number of German cholocate cakes boxed. If all of the available ingredients are used:

Solving the linear system above:

2,500 German chocolate cake boxes and 1,500 Swiss chocolate cake boxes can be made each day.
Answer:
It's A, Apex confirmed
Step-by-step explanation:
Answer:
the answer is B.336
Step-by-step explanation:
got it right on ed