Step 1 :State the null hypothesis as \(H_0: p = 0.28\) and the alternative hypothesis as \(H_1: p \neq 0.28\).
Step 2 :Calculate the standardized test statistic using the formula \(z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1 - p_0)}{n}}}\).
Step 3 :Substitute \(\hat{p} = 0.31\), \(p_0 = 0.28\), and \(n = 1200\) into the formula to get \(z = \frac{0.31 - 0.28}{\sqrt{\frac{0.28(1 - 0.28)}{1200}}} \approx 2.04\).
Step 4 :Find the P-value by looking up the z-score in a standard normal distribution table or using technology. The P-value is approximately 0.041.
Step 5 :Compare the P-value with the significance level \(\alpha = 0.10\). Since the P-value (0.041) is less than \(\alpha\), reject the null hypothesis.
Step 6 :\(\boxed{\text{There is enough evidence at the 10% level of significance to reject the research center's claim that 28% of adults in the country would travel into space on a commercial flight if they could afford it. The sample data suggest that the proportion is different from 28%.}}\)