Step 1 :The problem is asking for the sample size needed to estimate a population proportion with a certain level of confidence and margin of error. This can be solved using the formula for the sample size of a proportion: \(n = \frac{{Z^2 * p * (1-p)}}{{E^2}}\) where:
Step 2 :\(n\) is the sample size
Step 3 :\(Z\) is the Z-score, which corresponds to the desired confidence level
Step 4 :\(p\) is the estimated population proportion
Step 5 :\(E\) is the desired margin of error
Step 6 :In this case, we have: \(Z = 1.96\) (for a 85% confidence level), \(p = 0.15\) (from the earlier study), \(E = 0.03\) (the desired margin of error)
Step 7 :We can plug these values into the formula to find the required sample size. However, since we can't have a fraction of a student, we'll need to round up to the next whole number.
Step 8 :By substituting the given values into the formula, we get \(n = 545\)
Step 9 :Final Answer: The required sample size to estimate the fraction of tenth graders reading at or below the eighth grade level at the 85% confidence level with an error of at most 0.03 is \(\boxed{545}\)