What do the results mean?What type of error could you be making and what would that mean?Redo as a one-tail test, expecting a decrease in the number of headaches. Pay attention to what changes and what doesn’t and why. A researcher would like to determine if relaxation training will affect thenumber of headaches for chronic headache sufferers. For a week prior totraining, each participant records the number of headaches suffered.Participants then receive relaxation training, and for the week followingtraining the number of headaches is again measured. The data are asfollow:Pre-TrainingPost-Training9.44453348.76.6.47

Name: What do the results mean?What type of error could you be making and wh
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Description: What do the results mean?What type of error could you be making and what would that mean?Redo as a one-tail test, expecting a decrease in the number of headaches. Pay attention to what changes and what doesn’t and why. A researcher would like to dete

Given The pre and post-training data sets

Answered: A researcher would like to determine if…

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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What do the results mean?
What type of error could you be making and what would that mean?
Redo as a one-tail test, expecting a decrease in the number of headaches. Pay attention to what changes and what doesn’t and why.

A researcher would like to determine if relaxation training will affect the
number of headaches for chronic headache sufferers. For a week prior to
training, each participant records the number of headaches suffered.
Participants then receive relaxation training, and for the week following
training the number of headaches is again measured. The data are as
follow:
Pre-Training
Post-Training
9.
4
4
4
5
3
3
4
8.
7
6.
6.
4
7

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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