The Standard Error is calculated using the formula:
\[ SE = \sqrt{\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}} = \sqrt{\frac{701.8}{5} + \frac{1010.0}{5}} = 18.503 \]
The test statistic \( t \) is computed as follows:
\[ t = \frac{\bar{x}_1 - \bar{x}_2}{SE} = \frac{51.6 - 54.0}{18.503} = -0.13 \]
The degrees of freedom are calculated using the formula:
\[ df = \frac{\left(\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}\right)^2}{\frac{\left(\frac{s_1^2}{n_1}\right)^2}{n_1 - 1} + \frac{\left(\frac{s_2^2}{n_2}\right)^2}{n_2 - 1}} = \frac{117210.37}{15126.232} = 7.749 \]
The P-value is determined using the formula:
\[ P = 2(1 - T(|t|)) = 2(1 - T(0.13)) = 0.9 \]
The P-value for this hypothesis test is
\[ \boxed{0.900} \]
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