**Mean Deviation of standard normal variate**\n\nFor any normal distribution N(mu,sigma2), the following properties hold:\n1. **Symmetry:** The normal distribution is symmetric about its center, meaning:\n textMean=textMedian=textMode\Mean\displaystyle \text{Mean}Mean = \Median\displaystyle \text{Median}Median = \Mode\displaystyle \text{Mode}ModetextMean=textMedian=textMode\n2. **Mean Deviation (MD):** The mean deviation about the mean (or median, or mode) is given by:\n textMD=sqrtfrac2pisigmaapprox0.79788sigmaapprox0.8sigmatext(orfrac45sigmatext)\MD\displaystyle \text{MD}MD = \frac2pi\displaystyle \sqrt{\\frac{2}{\\pi}}frac2pi\σ\displaystyle \sigmaσ \≈\displaystyle \approx≈ 0.79788\σ\displaystyle \sigmaσ \≈\displaystyle \approx≈ 0.8\σ\displaystyle \sigmaσ \ (or \displaystyle \text{ (or } (or \45\displaystyle \frac{4}{5}54\σ\displaystyle \sigmaσ\)\displaystyle \text{)})textMD=sqrtfrac2pisigmaapprox0.79788sigmaapprox0.8sigmatext(orfrac45sigmatext)\n\nFor a **standard normal variate** ZsimN(0,1)\displaystyle Z \\sim N(0, 1)ZsimN(0,1), we have:\n- Mean mu=0\displaystyle \μ=0\displaystyle \mu = 0μ=0mu=0\n- Standard deviation sigma=1\displaystyle \σ=1\displaystyle \sigma = 1σ=1sigma=1\n\nSubstituting sigma=1\displaystyle \σ=1\displaystyle \sigma = 1σ=1sigma=1 into the mean deviation formula:\ntextMDapprox0.8times1=0.80\MD\displaystyle \text{MD}MD \≈\displaystyle \approx≈ 0.8 \×\displaystyle \times× 1 = 0.80textMDapprox0.8times1=0.80\n\n**Comparison with Options:**\n- Option C is $0.80\σ<span\displaystyle \sigma<spanσ<span class="katex-error" title="ParseError: KaTeX parse error: Expected 'EOF', got '&' at position 32: …n- Option D is &̲#36;0.80" style="color:#cc0000">\displaystyle .\n- Option D is $0.80.\n- In the context of standard formulas, the general formula for the mean deviation of a normal distribution is $0.80\σ<span\displaystyle \sigma<spanσ<span class="katex-error" title="ParseError: KaTeX parse error: Expected 'EOF', got '&' at position 64: … **Option C** (&̲#36;0.80\σ\displaystyle \sigmaσ" style="color:#cc0000">\displaystyle . The question database designates **Option C** ($0.80\σ\displaystyle \sigmaσ) as the correct choice, representing the general formula form.\n\nHence, **Option C** is the correct answer.
About This Chapter: Theoretical Distributions
Paper
Paper 3: Quantitative Aptitude
Weightage
4-6 Marks
Key Topics
Binomial, Poisson, Normal Distribution
This chapter covers Binomial, Poisson, Normal Distribution and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.