Step 1 :Calculate the standard error using the formula \( \text{SE} = \sqrt{\frac{p_0(1-p_0)}{n}} \) where \( p_0 = 0.27 \) and \( n = 400 \)
Step 2 :Calculate the test statistic using the formula \( z = \frac{\hat{p} - p_0}{\text{SE}} \) where \( \hat{p} = 0.32 \)
Step 3 :Find the critical value for a one-tailed test at the 0.02 significance level using the normal distribution
Step 4 :Compare the test statistic to the critical value
Step 5 :If the test statistic is greater than the critical value, reject the null hypothesis
Step 6 :\( \boxed{\text{Reject Null Hypothesis}} \)