Answer: [tex](\$7823.6,\ \$8176.4)[/tex]
Step-by-step explanation:
Given : Sample size : n= 100, it means its a large sample, we use z-test.
Significance level : [tex]\alpha: 1-0.95=0.05[/tex]
Critical value : [tex]z_{\alpha/2}=\pm1.96[/tex]
Sample mean: [tex]\overline{x}=\$8000[/tex]
Standard deviation: [tex]\sigma=\$900[/tex]
The confidence interval for population mean is given by :-
[tex]\overline{x}\pm z_{\alpha/2}\dfrac{\sigma}{\sqrt{n}}\\\\=8000\pm (1.96)\dfrac{900}{\sqrt{100}}\\\\\approx8000\pm176.4=(8000-176.4,8000+176.4)=(7823.6,\ 8176.4)[/tex]
Hence, the 95% confidence interval for the mean expenditure of all tourists who visit the resort.= [tex](\$7823.6,\ \$8176.4)[/tex]