Step 1 :Given that the sample size \(n = 929\) and the number of successes \(x = 185\). The Z-score for the desired confidence level of 98% is approximately \(Z = 2.33\).
Step 2 :First, we calculate the sample proportion \(\hat{p}\) which is the number of successes divided by the sample size. \(\hat{p} = \frac{x}{n} = \frac{185}{929} = 0.199\).
Step 3 :Next, we calculate the standard error (SE) using the formula \(\sqrt{ \frac{\hat{p}(1-\hat{p})}{n} }\). Substituting the values, we get \(SE = \sqrt{ \frac{0.199*(1-0.199)}{929} } = 0.013\).
Step 4 :Finally, we calculate the confidence interval (CI) using the formula \(\hat{p} \pm Z * SE\). Substituting the values, we get \(CI_{lower} = 0.199 - 2.33 * 0.013 = 0.169\) and \(CI_{upper} = 0.199 + 2.33 * 0.013 = 0.230\).
Step 5 :The 98% confidence interval for the population proportion of tenth graders reading at or below the eighth grade level is approximately \(\boxed{[0.169, 0.230]}\).