A researcher takes sample temperatures in Fahrenheit of 16 days from Miami (Group 1) and 18 days from Tucson (Group 2). Test the claim that the mean temperature in Miami greater than the mean temperature in Tucson. Use a significance level of α=0.05. Assume the populations are approximately normally distributed with unequal variances. You obtain the following two samples of data. Round answers to 4 decimal places. MiamiTucson77.574.18480.575.358.672.477.374.165106.564.295.85998.669.379.572.677.570.577.76466.466.965.964.290.680.581.866.975.371 59 75.9 1. What are the correct hypotheses? H0: H1: 2. Based on the hypotheses, find the following:Test Statistic = p-value = The p-value is to alpha.3. The correct decision is to .The correct summary would be: the claim that the mean temperature in Miami greater than the mean temperature in Tucson.

Answered: A researcher takes sample temperatures…

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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A researcher takes sample temperatures in Fahrenheit of 16 days from Miami (Group 1) and 18 days from Tucson (Group 2). Test the claim that the mean temperature in Miami greater than the mean temperature in Tucson. Use a significance level of α=0.05. Assume the populations are approximately normally distributed with unequal variances. You obtain the following two samples of data. Round answers to 4 decimal places.

Miami	Tucson
77.5	74.1
84	80.5
75.3	58.6
72.4	77.3
74.1	65
106.5	64.2
95.8	59
98.6	69.3
79.5	72.6
77.5	70.5
77.7	64
66.4	66.9
65.9	64.2
90.6	80.5
81.8	66.9
75.3	71
	59
	75.9

1. What are the correct hypotheses?

H₀:

H₁:

2. Based on the hypotheses, find the following:

Test Statistic =

p-value =

The p-value is     to alpha.

3. The correct decision is to        .

The correct summary would be:       the claim that the mean temperature in Miami greater than the mean temperature in Tucson.

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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