Consider the following hypothesis test H0: µ1=µ2Ha: µ1≠µ2The following results are for two independent samples taken from the two populations. Sample 1Sample 2n1 = 80n2 = 70sample 1 mean = 104sample 2 mean = 106s1 = 8.4s2 = 7.6 What is the sampling standard deviation for the difference between the two sample means?

Given n1=80 n2=70 S1=8.4 S2=7.6 X1-bar=104 X2-bar=106

Answered: Consider the following hypothesis test…

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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Consider the following hypothesis test

H₀: µ1=µ2

H_a: µ1≠µ2

The following results are for two independent samples taken from the two populations.

Sample 1	Sample 2
n1 = 80	n2 = 70
sample 1 mean = 104	sample 2 mean = 106
s1 = 8.4	s2 = 7.6

What is the sampling standard deviation for the difference between the two sample means?

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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