Answer:
1) use z-score
2) The 95% of confidence intervals
(141,489.24 , 149,670.75)
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Step-by-step explanation:
(i) we will use z-score
The 95% confidence interval for the mean of the population corresponding to the given sample.

Given data the sample size n=40
mean of the sample x⁻ = $145,580
Standard deviation (σ) = $13,200
Level of significance z-score =1.96
ii) The 95% of confidence intervals

on calculation, we get
(145,580-4090.75,145,580+4090.75)
(141,489.24 , 149,670.75)
<u>Conclusion</u>:-
<u>The 95% of confidence intervals</u>
<u>(141,489.24 , 149,670.75)</u>
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