In a very large class, exam scores are normally distributed with a mean of 70 and a standard deviation of 3, what is the z score for a person who scored 1 standard deviation above the mean?Which following statements about normal distributions are correct (Select all that apply)? You can use the normal distribution to approximate the binomial distribution Normal distributions cannot differ in their means, but they can differ in their standard deviations Normal distributions can differ in their means and their standard deviations Standard normal distributions can differ in their means and their standard deviations

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a very large class, exam scores are normally distributed with a mean of 70 and a standard deviation of 3, what is the z score for a person who scored 1 standard deviation above the mean?

Which following statements about normal distributions are correct (Select all that apply)?

		You can use the normal distribution to approximate the binomial distribution
		Normal distributions cannot differ in their means, but they can differ in their standard deviations
		Normal distributions can differ in their means and their standard deviations
		Standard normal distributions can differ in their means and their standard deviations

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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