A normal population has a mean of 50 and standard distribution of 10. Selecting 16 sample compute probability of sample mean
a) greater than 60
b) less than 45
c) between 45 and 60
We have a normal distribution, "\u03bc=50,\u03c3=10,n=16."
Let's convert it to the standard normal distribution.
"\\bar{z}=\\cfrac{\\bar{x}-\\mu}{\\sigma\/\\sqrt{n}}."
"\\text{a) } \\bar{z}_1=\\cfrac{60-50}{10\/\\sqrt{16}}=4,\\\\\nP(\\bar{X}>60)=\\\\\n=P(\\bar{Z}>4)=\\\\\n=1-P(\\bar{Z}<4)=\\\\\n=1-1=0\\text{ (from z-table).}"
"\\text{b) } \n\\bar{z}_2=\\cfrac{45-50}{10\/\\sqrt{16}}=-2,\\\\\nP(\\bar{X}<45)=\\\\\n=P(\\bar{Z}<-2)=\\\\\n=0.0228\\text{ (from z-table).}"
"\\text{c) } \nP(45<\\bar{X}<60)=\\\\\n=P(-2<\\bar{Z}<4)=\\\\\n=P(\\bar{Z}<4)-P(\\bar{Z}<-2)=\\\\\n=1-0.0228=0.9772."
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