Answer:
0.6 is the probability of success of a single trial of the experiment
Complete Problem Statement:
In a binomial experiment with 45 trials, the probability of more than 25 successes can be approximated by 
What is the probability of success of a single trial of this experiment?
Options:
Step-by-step explanation:
So to solve this, we need to use the binomial distribution. When using an approximation of a binomially distributed variable through normal distribution , we get:
=
now,

so,
by comparing with
, we get:
μ=np=27
=3.29
put np=27
we get:
=3.29
take square on both sides:
10.8241=27-27p
27p=27-10.8241
p=0.6
Which is the probability of success of a single trial of the experiment
Answer:
15%
Step-by-step explanation:
Given,
Original price = $55.00
Discounted price = $46.75
Discount = $55.00 - $46.75 = $8.25
Percent Discount = (Discount / Original price) x 100%
= (8.25 / 55.00) x 100%
= 0.15 x 100%
= 15%
False if y=f(x) then x= inverse of f(x) or f^-1(x)