What is the probability that the sample average in this experiment would exceed the government limit if the population mean is equal to the limit? Use the Central Limit Theorem.
"\\mu = 7950 \\\\\n\nn=55 \\\\\n\n\\bar{x} = 7960 \\\\\n\n\\sigma = 100"
Since sample size is large, according to central limit theorem, we can use normal distribution for sampling distribution of sample means. Therefore:
"P(\\bar{x}>7950) = P(\\frac{\\bar{x} -\\mu}{\\sigma \/ \\sqrt{n}} > \\frac{7960-7950}{100 \/ \\sqrt{55}}) \\\\\n\n= P(Z> 0.7418) \\\\\n\n= 1 -P(Z< 0.7418) \\\\\n\n= 1 -0.7709 \\\\\n\n= 0.2291"
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