Identify the claim and state Ho and HDetermine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and whether to use a z-test, a t-test, or a chi-square test. Explain your reasoning.Find the critical value(s), identify the rejection region(s), and find the appropriate standardized test statistic.Decide whether to reject or fail to reject the null hypothesis.Interpret the decision in the context of the original claim.A state school administrator says that the standard deviation of SAT critical reading test scores is 114. A random sample of 19 SAT critical reading test scores has a standard deviation of 143. At α = 0.10, is there enough evidence to reject the school administrator’s claim? Assume the populations is normally distributed.

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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

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Identify the claim and state Ho and H
Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and whether to use a z-test, a t-test, or a chi-square test. Explain your reasoning.
Find the critical value(s), identify the rejection region(s), and find the appropriate standardized test statistic.
Decide whether to reject or fail to reject the null hypothesis.
Interpret the decision in the context of the original claim.

A state school administrator says that the standard deviation of SAT critical reading test scores is 114. A random sample of 19 SAT critical reading test scores has a standard deviation of 143. At α = 0.10, is there enough evidence to reject the school administrator’s claim? Assume the populations is normally distributed.

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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