A recent study indicates that simply giving college students a pedometer can result in increased walking (Jackson & Howton, 2008). Students were given pedometers for a 12-week period, and asked to record the average number of steps per day during weeks 1, 6, and 12. The following data are similar to the results obtained in the study. Number of Steps (x1000) Week ParticipantIIIIIIP A681024 B45615 C55515G = 72D1236ΣX2 = 400E0123 F2349 T = 18T = 24M = 30 SS = 28SS = 32SS = 40 Use a repeated-measures ANOVA with α = .05 to determine whether the mean number of steps changes significantly from one week to another. Compute η2 to measure the size of the treatment effect.Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size.

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Description: A recent study indicates that simply giving college students a pedometer can result in increased walking (Jackson & Howton, 2008). Students were given pedometers for a 12-week period, and asked to record the average number of steps per day during wee

Given: The data is provided for the weeks and participants. 1. The researcher wants to test whether…

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A recent study indicates that simply giving college students a pedometer can result in increased walking (Jackson & Howton, 2008). Students were given pedometers for a 12-week period, and asked to record the average number of steps per day during weeks 1, 6, and 12. The following data are similar to the results obtained in the study.

	Number of Steps (x1000)
	Week
Participant	I	II	III	P
A	6	8	10	24
B	4	5	6	15
C	5	5	5	15	G = 72
D	1	2	3	6	ΣX2 = 400
E	0	1	2	3
F	2	3	4	9
	T = 18	T = 24	M = 30
	SS = 28	SS = 32	SS = 40

Use a repeated-measures ANOVA with α = .05 to determine whether the mean number of steps changes significantly from one week to another.
Compute η2 to measure the size of the treatment effect.
Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size.

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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