Standardization Transformation for Normal Distribution
Formula: Z = (X - μ)/(σ) Conditions: X ≈ N(μ, σ²). Brief Description: The formula to transform a general normal random variable X into a standard normal random…
Syllabus path: Probability and Statistics › Normal Distribution
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CSCA Mathematics Formula Reference
Formula and explanation
Formula: Z = (X - μ)/(σ) Conditions: X ≈ N(μ, σ²). Brief Description: The formula to transform a general normal random variable X into a standard normal random variable Z. After transformation, Z ≈ N(0, 1). This transformation is key for probability calculations using the standard normal distribution table.
Related tutorial and examples
Normal Distribution
Normal Distribution 1. Core Concepts and Graph Features The Normal Distribution (or Gaussian Distribution) is the most important continuous distribution. Its probability density curve is Bell - shaped. It is denoted as X ≈ N(μ, σ²). Mean ( μ ): Determines the central location of …
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