Which distribution can be fully described by its expected value and standard deviation?Question 1 options: a)Normal distribution b)Probability distribution c)Both normal distribution and probability distribution d)None of the given option.

Introduction:- The expected value uses assumption to tell us what results to expect in the long run.…

Answered: Which distribution can be fully…

Intermediate Financial Management (MindTap Course List)

13th Edition

ISBN:9781337395083

Author:Eugene F. Brigham, Phillip R. Daves

Publisher:Eugene F. Brigham, Phillip R. Daves

Chapter2: Risk And Return: Part I

Section: Chapter Questions

Problem 2Q

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Which distribution can be fully described by its expected value and standard deviation?

Question 1 options:


a)	Normal distribution

b)	Probability distribution

c)	Both normal distribution and probability distribution

d)	None of the given option.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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