For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including:Identifying the claim and H0 and Ha,Finding the appropriate standardized test statistic,Finding the P-value or the rejection region,Deciding whether to reject or fail to reject the null hypothesis, andInterpreting the decision in the context of the original claim. A city planner claims that the mean speed of westbound traffic along a road segment during morning peak hours is less than 50 miles per hour. In a random sample of 45 motor vehicles traveling westbound on the road segment during morning peak hours, the mean speed is 51 miles per hour. Assume the population standard deviation is 5 miles per hour. Perform the appropriate hypothesis test at α = 0.05.

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Description: For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including:Identifying the claim and H0 and Ha,Finding the appropriate standardized test statistic,Finding the P-value

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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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For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including:

Identifying the claim and H₀and H_a,
Finding the appropriate standardized test statistic,
Finding the P-value or the rejection region,
Deciding whether to reject or fail to reject the null hypothesis, and
Interpreting the decision in the context of the original claim.

A city planner claims that the mean speed of westbound traffic along a road segment during morning peak hours is less than 50 miles per hour. In a random sample of 45 motor vehicles traveling westbound on the road segment during morning peak hours, the mean speed is 51 miles per hour. Assume the population standard deviation is 5 miles per hour. Perform the appropriate hypothesis test at α = 0.05.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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