Answer:
Yes. There is 90% confidence the mean will be between ± 1.76% of the sample average.
Explanation:
In this case, where the sample is little and the standard deviation of the population is unknown, the confidence interval (CI) can be expressed as
![](https://img.qammunity.org/2020/formulas/mathematics/high-school/2s1zskintisw2ersplikedmrk39aeu01.png)
![\bar{x}\pm t_(n-1)*s/√(n)](https://img.qammunity.org/2020/formulas/mathematics/college/g6wruswq1z75rpqphpk8pmnkc9lhpo7azo.png)
"s" is the standard deviation of the sample and t(n-1) is the critical t-value with (n-1) degrees of freedom. In this case, the degrees of freedom ar (4-1)=3.
The standard deviation is expressed as 1.5% or the mean, that is
![s=0.015*\bar{x}](https://img.qammunity.org/2020/formulas/mathematics/college/dhad4io9om6aci2ftovmsd4czewi7kxq90.png)
Since we have two limits for the mean and a 90% CI, we have 5% of being outside the confidence. Looking up in the table for P(x>t)=0.05 and DF=3, we have
![t_3=2.353](https://img.qammunity.org/2020/formulas/mathematics/college/7f2mrswxhxsjrvrmynrz9zi4mvg8oy9t81.png)
Then the CI is
![\bar{x} \pm 2.353*(0.015*\bar{x})/√(4)\\\\\bar{x} \pm 2.353*(0.015*\bar{x})/√(4)\\\\\bar{x} \pm 0.0176\bar{x}](https://img.qammunity.org/2020/formulas/mathematics/college/j5yopcmsgngy8awegfm7ybua7xxzvk6x2m.png)
There is 90% confidence the mean will be between ± 1.76% of the sample average.