Answer:
a) [tex]34.06-2.355\frac{23.83}{\sqrt{134}}=29.212[/tex]
[tex]34.06+2.355\frac{23.83}{\sqrt{134}}=38.908[/tex]
b) For this case since the confidence level decrease then the confidence interval would decrease respect a) also since the margin of error would be lower.
Step-by-step explanation:
Information given
[tex]\bar X=34.06[/tex] represent the sample mean
[tex]\mu[/tex] population mean (variable of interest)
s=23.83 represent the sample standard deviation
n=134 represent the sample size
Part a
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex] (1)
The degrees of freedom are given:
[tex]df=n-1=134-1=133[/tex]
The Confidence level is 0.98 or 98%, the value of significance is [tex]\alpha=0.02[/tex] and [tex]\alpha/2 =0.01[/tex], and the critical value would be [tex]t_{\alpha/2}=2.355[/tex]
Replacing we got:
[tex]34.06-2.355\frac{23.83}{\sqrt{134}}=29.212[/tex]
[tex]34.06+2.355\frac{23.83}{\sqrt{134}}=38.908[/tex]
Part b
For this case since the confidence level decrease then the confidence interval would decrease respect a) also since the margin of error would be lower.