Suppose 180 randomly selected people are surveyed to determine whether or not they plan on reelecting the current president. Of the 180 surveyed, 36 reported they will not vote to reelect the current president. What is the correct interpretation of the 99% confidence interval? Select the correct answer below: We estimate with 99% confidence that the sample proportion of people who will not vote to reelect the current president is between 0.123 and 0.277. We estimate with 99% confidence that the true population proportion of people who will not vote to reelect the current president is between 0.123 and 0.277. We estimate that 99% of the time a survey is taken, the proportion of people who will not vote to reelect the current president is between 0.123 and 0.277.

b)

we estimate with 99% confidence that the true population proportion of people who will not vote to reelect the current president

(0.1236 , 0.2764)

Step-by-step explanation:

Step(i):-

Given sample size 'n' = 180

Given data  the 180 surveyed, 36 reported they will not vote to reelect the current president.

Sample proportion

level of significance ∝=0.99 or 0.01

The 99% confidence for the true population proportion is determined by

Z₀.₀₁ = 2.576

The 99% confidence for the true population proportion is determined by

(0.2 - 0.0764 , 0.2 +0.0764)

(0.1236 , 0.2764)

Conclusion:-

The 99% confidence for the true population proportion of people who will not vote to reelect the current president

(0.1236 , 0.2764)

one that is bigger than 3 1/2

3x + 4y -25 =0 represents the amount of change sianna should recieve