The following data were obtained from a repeated-measures study comparing three treatment conditions.Use a repeated-measures ANOVA with α - .05 to determine whether there are significant mean differences among the three treatments.Compute η2, the percentage of variance accounted for by the mean differences, to measure the size of the treatments effects.Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size. Treatments PersonIIIIIIPerson Totals A114P = 6 B348P = 15N = 15C027P = 9G = 45D006P = 6ΣX2 = 231E135P = 9 M = 1M = 2M = 6 T = 5T = 10T = 30 SS = 6SS = 10SS = 10

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Description: The following data were obtained from a repeated-measures study comparing three treatment conditions.Use a repeated-measures ANOVA with α - .05 to determine whether there are significant mean differences among the three treatments.Compute η2, the per

The following table is obtained: Group 1 Group 2 Group 3 1 1 4 3 4 8 0 2 7 0 0…

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MATLAB: An Introduction with Applications

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The following data were obtained from a repeated-measures study comparing three treatment conditions.

Use a repeated-measures ANOVA with α - .05 to determine whether there are significant mean differences among the three treatments.
Compute η2, the percentage of variance accounted for by the mean differences, to measure the size of the treatments effects.
Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size.

	Treatments
Person	I	II	III	Person Totals
A	1	1	4	P = 6
B	3	4	8	P = 15	N = 15
C	0	2	7	P = 9	G = 45
D	0	0	6	P = 6	ΣX2 = 231
E	1	3	5	P = 9
	M = 1	M = 2	M = 6
	T = 5	T = 10	T = 30
	SS = 6	SS = 10	SS = 10

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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