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Distributionshard
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Let X∼N(0,σ2)X \sim N(0, \sigma^2)X∼N(0,σ2) be a standard-like normal random variable with variance σ2\sigma^2σ2. Which of the following statements is true regarding the relationship between XXX and Y=X2Y = X^2Y=X2?