QUESTION 22Consider the following context: Two bus lines, Essex Express (EE) and Hudson Heights (HH), operate along the same route. The city's transit chief is concerned that EE may have significantly greater variability than HH in terms of arrival times at a main transfer point downtown. A random sample of 20 (n1) arrivals by EE buses resulted in a sample standard deviation (s1) of 1.7 minutes, whereas a random sample of 25 (n2) arrivals by HH buses yielded a sample standard deviation (s2) of 1.2 minutes. Presume that arrival times for both bus lines are essentially normally distributed. Is there sufficient evidence, at the 0.05 level of significance, that EE buses are far more variable in their arrival times than HH buses?What is the critical value utilizing the level of significance and the numerator and denominator degrees of freedom, rounded to two decimal places, omitting the positive sign?

here given, s1 = 1.7 n1 = 20s2 = 1.2n2 = 25

Answered: What is the critical value utilizing…

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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QUESTION 22

Consider the following context:

Two bus lines, Essex Express (EE) and Hudson Heights (HH), operate along the same route. The city's transit chief is concerned that EE may have significantly greater variability than HH in terms of arrival times at a main transfer point downtown. A random sample of 20 (n₁) arrivals by EE buses resulted in a sample standard deviation (s₁) of 1.7 minutes, whereas a random sample of 25 (n₂) arrivals by HH buses yielded a sample standard deviation (s₂) of 1.2 minutes. Presume that arrival times for both bus lines are essentially normally distributed. Is there sufficient evidence, at the 0.05 level of significance, that EE buses are far more variable in their arrival times than HH buses?

What is the critical value utilizing the level of significance and the numerator and denominator degrees of freedom, rounded to two decimal places, omitting the positive sign?

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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