Step 1 :Given that the sample size is 229 and the sample proportion of successes is 0.19, we want to find the 80% confidence interval for the population proportion.
Step 2 :The formula for the confidence interval for a proportion is given by \(\hat{p} \pm Z \sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\), where \(\hat{p}\) is the sample proportion, n is the sample size, and Z is the Z-score corresponding to the desired level of confidence.
Step 3 :In this case, \(\hat{p} = 0.19\), n = 229, and the Z-score for an 80% confidence level is approximately 1.28.
Step 4 :Substituting these values into the formula, we get \(0.19 \pm 1.28 \sqrt{\frac{0.19(1-0.19)}{229}}\).
Step 5 :Solving this expression, we find that the 80% confidence interval for the population proportion is approximately (0.157, 0.223).
Step 6 :\(\boxed{\text{Final Answer: The 80% confidence interval for a sample of size 229 with 19% successes is approximately (0.157, 0.223).}}\)