Let x be a normally distributed random variable with the following parameter:μ =125σ =30 8What fraction of the distribution is below 90?a0.1533 b0.1419 c0.1314 d0.1217

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What fraction of the distribution is below

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

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Let x be a normally distributed random variable with the following parameter:

μ =	125
σ =	30

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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Introduction

In probability theory and statistics, the Normal Distribution, often known as the Gaussian Distribution, is the most common continuous probability distribution. It's also known as a bell curve. The normal distribution represents a large number of random variables either nearly or exactly in every physical discipline and economics.

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