To solve this problem, we just need to use the margin of error formula. This formula is given by
![ME=z*\frac{\sigma}{\sqrt[]{n}}](https://img.qammunity.org/2023/formulas/mathematics/college/q7658w60zq3e6qy6n96oannzz36aakoe7g.png)
Where ME is our margin of error, sigma is the standard deviation, n is the sample size, and z is the critical value(associated with the confidence level).
From the text, we have:

Plugging those values in our equation, we have
![ME=1.32*\frac{13.7}{\sqrt[]{23}}=\frac{18.084}{\sqrt[]{23}}=3.77077466381\ldots\approx3.8](https://img.qammunity.org/2023/formulas/mathematics/college/m7u2ea5g67g473y6k0m5dtrhqxfgvndk0u.png)
And this is our margin of error.