You wish to test the following claim (Ha\displaystyle {H}_{{a}}) at a significance level of α=0.001\displaystyle \alpha={0.001}.

      Ho:μ1=μ2\displaystyle {H}_{{o}}:\mu_{{1}}=\mu_{{2}}
      Ha:μ1>μ2\displaystyle {H}_{{a}}:\mu_{{1}}>\mu_{{2}}

You obtain the following two samples of data.
Sample #1 Sample #2
49.768.966.771.6
74.86068.672.3
67.662.391.271
57.784.156.148.4
68.36056.672
59.560.858.282.4
76.982.463.846.9
70.749.783.585.4
80.159.17289.9
78.449.772.986.9
70.784.173.558.2
8377.370.186.2
62.357.281
72.733.96967.4
63.575.656.568.2
61.363.551.166.3
71.454.842.184.1
71.460.233.974.1
58.853.143.146.4
4139.763.155.2
63.156.56630.1
58.46964.536.4
62.4


What is the critical value for this test? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to three decimal places.)
critical value =

What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =

The test statistic is...


This test statistic leads to a decision to...


As such, the final conclusion is that...