A professional golfer wanted to determine if there was a difference in the number of yards that golfers could hit a ball depending on the brand of driver (a particular type of club) used. Twenty-five golfers (of approximately the same ability) were divided into five groups ,and each golfer in a group hit a ball with one particular brand of driver. The number of yards they hit the ball was recorded, and a rank was assigned to each value. The data are tabulated below with the number of yards hit listed first and the ranks listed in parentheses.

\begin{array}{ccccc}\hline \text { Brand A } & \text { Brand B } & \text { Brand C } & \text { Brand D } & \text { Brand E } \\\hline 300(25) & 190(5) & 235(11) & 275(17) & 165(2) \\298(23) & 164(1) & 296(21) & 299(24) & 175(3) \\297(22) & 239(13) & 274(16) & 185(4) & 256(14) \\260(15) & 215(7) & 280(18) & 238(12) & 224(9) \\295(20) & 225(10) & 290(19) & 196(6) & 219(8) \\\hline\end{array}

Compute the appropriate test value for a Kruskal-Wallis test, at

\alpha = 0.05

, of the professio golfer's hypothesis. onal
A) 13.610
B) 16.610
C) 3.805
D) 6.805

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For a Specific Year, the Median Price of Natural Gas $\$ 11.99$

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