Answer:
(1) The probability that the sample percentage indicating global warming is having a significant impact on the environment will be between 64% and 69% is 0.3674.
(2) The two population percentages that will contain the sample percentage with probability 90% are 0.57 and 0.73.
(3) The two population percentages that will contain the sample percentage with probability 95% are 0.55 and 0.75.
Step-by-step explanation:
Let <em>X</em> = number of senior professionals who thought that global warming is having a significant impact on the environment.
The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 100 and <em>p</em> = 0.65.
But the sample selected is too large and the probability of success is close to 0.50.
So a Normal approximation to binomial can be applied to approximate the distribution of <em>p</em> if the following conditions are satisfied:
- np ≥ 10
- n(1 - p) ≥ 10
Check the conditions as follows:

Thus, a Normal approximation to binomial can be applied.
So,
.
(1)
Compute the value of
as follows:


Thus, the probability that the sample percentage indicating global warming is having a significant impact on the environment will be between 64% and 69% is 0.3674.
(2)
Let
and
be the two population percentages that will contain the sample percentage with probability 90%.
That is,

Then,



The value of <em>z</em> for P (Z < z) = 0.95 is
<em>z</em> = 1.65.
Compute the value of
and
as follows:

Thus, the two population percentages that will contain the sample percentage with probability 90% are 0.57 and 0.73.
(3)
Let
and
be the two population percentages that will contain the sample percentage with probability 95%.
That is,

Then,



The value of <em>z</em> for P (Z < z) = 0.975 is
<em>z</em> = 1.96.
Compute the value of
and
as follows:

Thus, the two population percentages that will contain the sample percentage with probability 95% are 0.55 and 0.75.