Step 1 :We are given that the sample size \(n = 467\), the number of successes in the sample is 413, and the hypothesized population proportion \(p_0 = 0.87\).
Step 2 :First, we calculate the sample proportion \(\hat{p}\) by dividing the number of successes by the sample size: \(\hat{p} = \frac{413}{467} = 0.884\).
Step 3 :Next, we calculate the test statistic using the formula for a one-sample proportion hypothesis test: \(Z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1-p_0)}{n}}}\).
Step 4 :Substituting the given values into the formula, we get: \(Z = \frac{0.884 - 0.87}{\sqrt{\frac{0.87(1-0.87)}{467}}}\).
Step 5 :Solving the above expression, we find that the test statistic \(Z = 0.923\).
Step 6 :\(\boxed{0.923}\) is the test statistic for this sample.