Q.5 In a Standard Normal Distribution, find:
i. Mean and Standard Deviation
ii. Lower Quartile
iii. Upper quartile
iv. Inter-quartile range
v. Mean Deviation
A standard normal distribution is a normal distribution with mean zero and variance 1.
i.
Mean = 0 and standard deviation = 1
ii. Lower quartile
Lower quartile is the z value corresponding to the lower 25%.
From z-tables or =NORM.S.INV(0.25) excel function, the lower quartile is "-0.6745"
iii. Upper quartile
Lower quartile is the z value corresponding to the lower 75%.
From z-tables or =NORM.S.INV(0.75) excel function, the lower quartile is "0.6745"
iv.Inter-quartile range
Inter-quartile range is the difference between upper and lower quartile.
"IQR=0.6745+0.6745=1.349"
v. Mean deviation
Generally, mean deviation of a normal distribution is as follows,
"\\mathbf{E}\\left[\\left|X-\\mu\\right|\\right] =\\int_{-\\infty}^{\\infty}\\left|a-\\mu\\right|f_{X}(a)da\\\\"
"=\\int_{-\\infty}^{\\mu}\\left(\\mu-a\\right)f_{X}(a)da+\\int_{\\mu}^{\\infty}\\left(a-\\mu\\right)f_{X}(a)da\\\\"
"\\overset{1}{=}2\\int_{\\mu}^{\\infty}\\left(a-\\mu\\right)f_{X}(a)da\\\\"
"=2\\int_{\\mu}^{\\infty}\\frac{a-\\mu}{\\sigma\\sqrt{2\\pi}}e^{-\\left(\\frac{a-\\mu}{\\sigma\\sqrt{2}}\\right)^{2}}da\\\\"
"\\overset{2}{=}\\frac{2}{\\sqrt{\\pi}}\\int_{0}^{\\infty}be^{-b^{2}}\\sigma\\sqrt{2}db\\\\"
"=2\\sqrt{\\frac{2}{\\pi}}\\sigma\\int_{0}^{\\infty}be^{-b^{2}}db\\\\"
"=2\\sqrt{\\frac{2}{\\pi}}\\sigma\\left[\\frac{e^{-b^{2}}}{-2}\\right]_{0}^{\\infty}\\\\"
"=\\sqrt{\\frac{2}{\\pi}}\\sigma\\left[e^{0}-e^{-\\infty}\\right]\\\\"
"=\\sqrt{\\frac{2}{\\pi}}\\sigma."
But since standard deviation is 1 for a standard normal distribution, mean deviation becomes "\\sqrt{\\frac{2}{\\pi}}"
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