Answered: 19. Using samples to substantiate…

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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19. Using samples to substantiate claims with any degree of confidence seems risky at best. How can we quantifiably predict, with any kind of accuracy, that a claim is valid from just one sample? The answer lies with the Central Limit Theorem. Technically we are not predicting how our sample directly relates to the population but how our sample fits the

(A) standardized scores.

(B) sampling distribution.

(C) standard normal distribution.

(D) line of regression.

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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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