A farmer is trying out a planting technique that he hopes will increase the yield on his pea plants. The average number of pods on one of his pea plants is 145 pods with a standard deviation of 100 pods. This year, after trying his newplanting technique, he takes a random sample of 144 his plants and finds the average number of pods to be 147. Do the data provide sufficient evidence, at α=0.05, to conclude that the new planting technique is effective in increasing yield?
H0: μ≤145
H1: μ>145
"Z = \\frac{\\bar{x}-\u03bc}{\u03c3\/ \\sqrt{n}} \\\\\n\n= \\frac{147-145}{100\/ \\sqrt{144}} \\\\\n\n= 0.24"
At α=0.05 the critical value will be 1.64 (By using e-calculator https://www.calculators.org/math/z-critical-value.php).
The value of the test statistics is 0.24 < 1.64. So, we accept the null hypotheses and conclude that the new planting technique is not effective in increasing yield.
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