The variable of interest is
X: number of students that use a pencil to take notes out of 120.
This variable has a binomial distribution with parameters n=120 and p. To calculate the confidence interval for the population proportion of students that use a pencil to take notes you have to use the approximation of the standard normal distribution with margin of error:
![Z_{\mleft\lbrace1-(\alpha)/(2)\mright\rbrace}\sqrt[]{\frac{p^(\prime)(1-p^(\prime))^{}}{n}}](https://img.qammunity.org/2023/formulas/mathematics/college/r236ecap6mi9wo6aq0xephvgwhojasji9q.png)
The sample proportion is the number of successes of the experiment divided the sample size, in this case the successes are the students that use a pencil so the sample proportion is:
p'=90/120=0.75
From the margin of error the only value modified will ve the Z value, so calculate the term under the square root first:
1-p'=1-0.75=0.25
![\sqrt[]{(0.75\cdot0.25)/(120)}=\frac{\sqrt[]{10}}{80}\cong0.0395](https://img.qammunity.org/2023/formulas/mathematics/college/18fofmw7ptdu7a196y8gm3fjfqksjzykb5.png)
Next, using the Z-table look for the corresponding values:
1) For 1-α= 99%=0.99
α=0.01
α/2=0.005
1-α/2=0.995

2) For 1-α=95%=0.95
α=0.05
α/2=0.025
1-α/2=0.975

3) For 1-α=90%=0.90
α=0.1
α/2=0.05
1-α/2=0.95
