In general, when the sample size is small (n<30) and the variance of the population is known, it is better to build the confidence interval using the …. t distribution z distribution, as long as the population is normally distributed t distribution, as long as the population is normally distributed CLT does not apply to small samples, so one cannot set up the confidence interval

Name: In general, when the sample size is small (n<30) and the variance of t
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Description: In general, when the sample size is small (n<30) and the variance of the population is known, it is better to build the confidence interval using the …. t distribution z distribution, as long as the population is normally distributed t distributio

According to the provided information, the variance of the population is known.

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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 general, when the sample size is small (n<30) and the variance of the population is known, it is better to build the confidence interval using the ….

		t distribution
		z distribution, as long as the population is normally distributed
		t distribution, as long as the population is normally distributed
		CLT does not apply to small samples, so one cannot set up the confidence interval

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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