A truck farmer decides to test a new non-polluting insecticide which also, according to the inventor, definitely reduces the loss attributable to a common pest. The farmer treats 31 acres with the new spray and 41 with the standard spray. For the new insecticide, the mean yield is 980 pounds with a standard deviation of 60. For the standard spray there is a mean yield of 1040 pounds with a standard deviation of 50 pounds. At level of significance 0.05 do the results show that the new spray is worse than the old? State hypotheses, P- value, and conclusion.

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A truck farmer decides to test a new non-polluting insecticide which also, according to the
inventor, definitely reduces the loss attributable to a common pest. The farmer treats 31
acres with the new spray and 41 with the standard spray. For the new insecticide, the
mean yield is 980 pounds with a standard deviation of 60. For the standard spray there is a
mean yield of 1040 pounds with a standard deviation of 50 pounds. At level of significance
0.05 do the results show that the new spray is worse than the old? State hypotheses, P-
value, and conclusion.
17
Transcribed Image Text:A truck farmer decides to test a new non-polluting insecticide which also, according to the inventor, definitely reduces the loss attributable to a common pest. The farmer treats 31 acres with the new spray and 41 with the standard spray. For the new insecticide, the mean yield is 980 pounds with a standard deviation of 60. For the standard spray there is a mean yield of 1040 pounds with a standard deviation of 50 pounds. At level of significance 0.05 do the results show that the new spray is worse than the old? State hypotheses, P- value, and conclusion. 17
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