We will have the following:
*First: We determine the standard deviation of the statistic, this is:
![\sigma=\sqrt[]{(\sum ^(133)_1(x_i-\mu)^2)/(N)}](https://img.qammunity.org/2023/formulas/mathematics/college/jyn87k1x3cqigehn9bv4wzab789dvcu3v7.png)
So, we will have:

Then:
![\sigma=\sqrt[]{(\sum^(133)_1(x_i-67)^2)/(133)}\Rightarrow\sigma=\sqrt[]{(196042)/(133)}\Rightarrow\sigma=\sqrt[]{1474}\Rightarrow\sigma=38.39270764\ldots](https://img.qammunity.org/2023/formulas/mathematics/college/o878kph49v0n8px63wj3uq5bs5bdkessws.png)
And so, we obtain the standar deviation.
*Second: We determine the margin of error:

Here me represents the margin of error, cv represents the critical value and this is multiplied by the standard deviation. We know that the critica value for a 90% confidence interval is of 1.645, so:

*Third: We determine the confidence interval as follows:

Here ci is the confidence interval, ss is the saple statistic and me is the margin of error:

And that is the confidence interval,