91Ó°ÊÓ

$$\begin{gathered} n=1000 \\ x=46 \end{gathered}$$

First need to understand about population and parameter.

Population: It is the set of all the possible individuals possessing the characteristic of interest in a study.

Parameter: A parameter is a numerical characteristic based on observations from the entire population of objects in a study.

In this study, population is all students who attend the school and parameter is proportion of students who the student body president knows the name of.

The condition of random selection is satisfied because the sample is SRS.

The sample should be less than $10\%$of the population. Here, $100$students’ chips are less than $10\%$of all the $1800$students in population. Hence, this condition met.

The last condition is, number of success and failure must be $â‰\yen 10$. Therefore, number of successes $=46â‰\yen 10$and number failures $=100-46=54â‰\yen 10$which is met. Hence, all the conditions of confidence interval are met.

Sample proportion:

$\hat{p}=\frac{x}{n}$

Margin of error:

$E=Z_{\mathrm{Î\pm }/2}×\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$

The confidence interval:

$(\hat{p}-E,\hat{p}+E)$

The confidence level$=0.99$

So, level of significance$=a=0.01$

The $z_c=z_{\mathrm{Î\pm }/2}$critical value $=2.575$....

The sample proportion is,

$\hat{p}=\frac{46}{100}=0.46$

The margin of error is,

$$\begin{gathered} E=2.575×\sqrt{\frac{0.46(1-0.46)}{100}} \\ E=0.1283 \end{gathered}$$

The confidence interval is,

role="math" localid="1663922962651" $$\begin{gathered} (0.46-0.1283,0.46+0.1283) \\ (0.3317,0.5883) \end{gathered}$$

Hence, the $99\%$confidence interval for population proportion isrole="math" localid="1663922956187" $0.3317<p<0.5883$

We are $99\%$confident that the true population proportion of all students that the students body president knows is$0.3317and0.5883$