A super, market has been selling discounted apples in bundles of five at their counters. A random sample of 49 bundles weighs 980 grams on average, with a standard deviation of 65 grams. Test the hypothesis that . = 1000 grams against the alternative hypothesis of > 1000 at 0.07 level of significance
Hypothesis testing for a mean (σ is unknown, and the variable is normally distributed in the population or n > 30 )
So we use t-test with df = n-1 = 49-1 = 48 degree of freedom:
"P(X\\ge1000) = P(t_{48} \\ge \\frac {\\mu_X-1000} {\\sigma_X}) =\\\\\n P(t_{48} \\ge \\frac {980 - 1000} {65\/ \\sqrt{49}}) = P(t_{48} \\ge -2.15) = \\\\\n1-P(t_{48}< -2.15)=\\\\\n1-0.018 = 0.982>0.07"
Hence, we cannot reject the null hypothesis that the population mean is equal to 1000 at significant level of 0.07.
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