We are required to create a 99% confidence interval for the given population proportion. Let's try to understand what we are trying to find out here. We are required to find out an interval which will contain the population proportion of the number of people who have started paying bills online in 99% of the times that we take the samples of this given population.
Since it's a 99% confidence interval, =1-0.99=0.01
where
gives the
significance level i.e. the probability of rejecting the null
hypothesis when it's true.
The 99% confidence interval is given as [P0 -
Zα/2 * SE(P0), P0 +
Zα/2 * SE(P0)] where P0
is the sample proportion, Zα/2 is the
Z-statistic associated with =0.01 and
SE(P0) is the standard error of the proportion.
Now, considering that in a population of 3149 adults, 1498 have started paying bills. Therefore, the required proportion is 1498/3149 = 0.476. Though it's a population proportion, we can substitute this value for the sample proportion. The answers in both the cases will be same.
P0=0.476
1-P0 = 1-0.476 = 0.524
The standard error of the population will be calculated as
.
In this case, it will be equal to = 0.0089.
Therefore, the 99% confidence interval will be given as [0.476 - Zα/2 (0.0089),0.476 + Zα/2 (0.0089)] = [0.453,0.499].
This can be interpreted in the following manner: With 99% confidence, it can be stated that the population proportion of adults who started paying their bills online in the last year lies between 45.3% and 49.9%. This answers the second part of the question i.e. Option 3.
Question Help in a survey of 3149 adults, 1498 say they have started paying bils online...
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