Answer:
The upper limit of the 99% confidence interval for the population proportion based on these statistics is 0.3665.
Explanation:
We are given that of the 219 white GSS 2008 respondents in their 20's, 63 of them claim the ability to speak a language other than English.
So, the sample proportion is :
= X/n = 63/219
Firstly, the pivotal quantity for 99% confidence interval for the population proportion is given by;
P.Q. =
~ N(0,1)
where,
= sample proportion =
![(63)/(219)](https://img.qammunity.org/2021/formulas/mathematics/college/tvkw3gxmxrueg4gu4eni4qg3j8xtj650ye.png)
n = sample of respondents = 219
p = population proportion
Here for constructing 99% confidence interval we have used One-sample z proportion statistics.
So, 99% confidence interval for the population proportion, p is ;
P(-2.5758 < N(0,1) < 2.5758) = 0.99 {As the critical value of z at
0.5% level of significance are -2.5758 & 2.5758}
P(-2.5758 <
< 2.5758) = 0.99
P(
<
<
) = 0.99
P(
< p <
) = 0.99
99% confidence interval for p = [
,
]
= [
,
]
= [0.2089 , 0.3665]
Therefore, 99% confidence interval for the population proportion based on these statistics is [0.2089 , 0.3665].
Hence, the upper limit of the population proportion based on these statistics is 0.3665.