Match the appropriate probability distribution functions shown in column B with the statistic present in column A drawn from a normally distributed population. StatisticProbability DistributionSample Mean, Known population mean population standard deviationF distributionSample Mean, Known population mean unknown population standard deviationChi-square distributionSample standard deviationStudent “t”- distributionRation of Sample Standard deviationsNormal Distribution

Answered: Match the appropriate probability…

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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Match the appropriate probability distribution functions shown in column B with the statistic present in column A drawn from a normally distributed population.

Statistic	Probability Distribution
Sample Mean, Known population mean population standard deviation	F distribution
Sample Mean, Known population mean unknown population standard deviation	Chi-square distribution
Sample standard deviation	Student “t”- distribution
Ration of Sample Standard deviations	Normal Distribution

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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