Respuesta :
Answer:
Option c
Step-by-step explanation:
--The large-sample confidence interval
formula for proportions is valid if np ≥ 15 and n(1-p) ≥ 15. The large sample confidence
interval only contain the true value a certain percentage of the time. A 95% CI will contain the
value 95% of the time. You add 2 successes and 2 failures.
Using confidence interval concepts, the correct option is:
There are not 15 observed successes and 15 observed failures. A confidence interval can be computed by adding 2 successes and 2 failures.
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , as long as there are at least 15 successes and 15 failures, that is, and , we have the following confidence interval of proportions.
[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
In which
z is the z-score that has a p-value of [tex]\frac{1+\alpha}{2}[/tex].
In this problem:
- 19 people approved, thus, 19 successes.
- 32 - 19 = 13 people disapproved, thus, 13 failures.
- 2 extra failures are needed for the confidence interval, thus, the correct option is:
There are not 15 observed successes and 15 observed failures. A confidence interval can be computed by adding 2 successes and 2 failures.
A similar problem is given at https://brainly.com/question/15243414