The upper and lower bounds of the confidence interval are defined as (n-1)s2 / (chi squared value), where the chi squared values are at the 5% and 95% level. You can find these values in a table or by using a calculator.
X2.05, 19 = 10.117
X2.95, 19 = 30.144
Plugging these values into the equation we get the values 23.322 and 69.487. This is the 90% confidence interval for the variance, and it has the following meaning:
If we take 100 such samples and confidence intervals, we would expect about 90 of them to contain the true variance.
That being said, the more understandable statement would be to say that we are 90% confident that the true variance is between 23.322 and 69.487.