the following MINITAB output displays presents the results of a hypothesis test for the difference μ1 - μ2 between two populations meanstwo-sample T for X1 vs X2 nmeanSTDevSE meanA1266.02122.0146.355B840.64927.3379.665difference = Mu(X1) - mu(X2)estimate for difference: 25.37295% CI for difference: (2.700,48.044)t- Test of difference = 0 (vs not =) : T-value = 2.193456 p-value = 0.04706 DF= 13what is the alternate hypothesis?A)U1≠U2 B) U1 > U2 C) U1 < U2

Name: the following MINITAB output displays presents the results of a hypoth
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Description: the following MINITAB output displays presents the results of a hypothesis test for the difference μ1 - μ2 between two populations meanstwo-sample T for X1 vs X2 nmeanSTDevSE meanA1266.02122.0146.355B840.64927.3379.665difference = Mu(X1) - mu(X2)

From the provided information, consider µ1 represents the population mean of dataset A and µ2…

Answered: the following MINITAB output displays…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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the following MINITAB output displays presents the results of a hypothesis test for the difference μ₁ - μ₂ between two populations means

two-sample T for X1 vs X2
	n	mean	STDev	SE mean
A	12	66.021	22.014	6.355
B	8	40.649	27.337	9.665

difference = Mu(X1) - mu(X2)

estimate for difference: 25.372

95% CI for difference: (2.700,48.044)

t- Test of difference = 0 (vs not =) : T-value = 2.193456

p-value = 0.04706 DF= 13

what is the alternate hypothesis?

A)U1≠U2 B) U1 > U2 C) U1 < U2

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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