Step 1 :The null and alternative hypotheses for this test are: \[\begin{array}{l} H_{0}: \mu_{1}=\mu_{2} \\ H_{1}: \mu_{1}>\mu_{2} \end{array}\]
Step 2 :The test statistic for this hypothesis test is calculated using the formula for the test statistic in a two-sample t-test, which is \((\bar{x}_{1} - \bar{x}_{2}) / \sqrt{(s_{1}^{2}/n_{1}) + (s_{2}^{2}/n_{2})}\), where \(\bar{x}_{1}\) and \(\bar{x}_{2}\) are the sample means, \(s_{1}\) and \(s_{2}\) are the sample standard deviations, and \(n_{1}\) and \(n_{2}\) are the sample sizes. Substituting the given values, we get a test statistic of approximately \(1.55\).
Step 3 :The P-value for this hypothesis test is calculated using the test statistic and the degrees of freedom, which is \((n_{1} + n_{2} - 2)\) in a two-sample t-test. The calculated P-value is approximately \(0.065\).
Step 4 :The final answer is: The null and alternative hypotheses for this test are: \[\begin{array}{l} H_{0}: \mu_{1}=\mu_{2} \\ H_{1}: \mu_{1}>\mu_{2} \end{array}\] The test statistic for this hypothesis test is \(\boxed{1.55}\). The P-value for this hypothesis test is \(\boxed{0.065}\).