Use the t-distribution to find a confidence interval for a mean μ given the relevant sample results. Give the best point estimate for μ, the margin of error, and the confidence interval. Assume the results come from a random sample from a population that is approximately normally distributed. A 90% confidence interval for µ using the sample results x̄ =2.9 s=0.2, and n=100. WHAT IS THE SAMPLE STATISTIC? MARGIN OF ERROR? CONFIDENCE INTERVAL OF 90%

Use the t-distribution to find a confidence interval for a mean μ given the relevant sample results. Give the best point estimate for μ, the margin of error, and the confidence interval. Assume the results come from a random sample from a population that is approximately normally distributed. A 90% confidence interval for µ using the sample results x̄ =2.9 s=0.2, and n=100. WHAT IS THE SAMPLE STATISTIC? MARGIN OF ERROR? CONFIDENCE INTERVAL OF 90%

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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Use the t-distribution to find a confidence interval for a mean μ given the relevant sample results. Give the best point estimate for μ, the margin of error, and the confidence interval. Assume the results come from a random sample from a population that is approximately normally distributed. A 90% confidence interval for µ using the sample results x̄ =2.9 s=0.2, and n=100.

WHAT IS THE SAMPLE STATISTIC?
MARGIN OF ERROR?

CONFIDENCE INTERVAL OF 90%

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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