The Normal Probability Distribution, Also Known As The Gaussian Distribution Or Bell Curve, Is A Continuous Probability Distribution That Is Symmetric Around Its Mean. It Is Characterized By Two Parameters: The Mean (?) And The Standard Deviation (?). The Shape Of The Distribution Is Determined By These Parameters, With The Mean Representing The Center Of The Distribution And The Standard Deviation Controlling Its Spread. The Normal Distribution Is Symmetric Around Its Mean, With The Highest Point Of The Curve Located At The Mean. This Means That Half Of The Values In The Distribution Are Greater Than The Mean, And Half Are Less Than The Mean. The Probability Density Function Of The Normal Distribution Forms A Bell-Shaped Curve, With Tails That Extend Indefinitely In Both Directions. The Curve Approaches But Never Touches The Horizontal Axis, Indicating That There Is A Non-Zero Probability Of Observing Values At Any Distance From The Mean.

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