A graduate student realized that the depression study above in Question 4 should have had a placebo condition in which a third group was given a pill just as the people in the Drug condition were, but where the pill was not Drug D (e.g., a sugar pill). So she designed a new experiment with three conditions -- Drug, No Drug, and Placebo. To perform the experiment, the graduate student randomly assigned 18 people into the three groups so that each group has 6 people. After one month of treatment, all 18 people were asked to rate on a scale from 1 to 7 how depressed they felt, where 1 = not depressed at all and 7 = very depressed. The following are the data: Drug No Drug Placebo 2 4 5 3 5 5 4 5 6 4 4 5 2 6 4 3 6 5 nD = 6 nND = 6 nplacebo = 6 MD = 3 MND = 5 Mplacebo = 5 Using an α-level of .05, perform an Analysis of Variance (ANOVA) to determine whether there is a difference among the three conditions. Specifically, answer the following questions: What is the within condition degrees of freedom, dfwithin? What is the within condition sum of squares, SSwithin? What is the within condition mean squares, MSwithin?

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Description: A graduate student realized that the depression study above in Question 4 should have had a placebo condition in which a third group was given a pill just as the people in the Drug condition were, but where the pill was not Drug D (e.g., a sugar pill

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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A graduate student realized that the depression study above in Question 4 should have had a placebo condition in which a third group was given a pill just as the people in the Drug condition were, but where the pill was not Drug D (e.g., a sugar pill). So she designed a new experiment with three conditions -- Drug, No Drug, and Placebo. To perform the experiment, the graduate student randomly assigned 18 people into the three groups so that each group has 6 people. After one month of treatment, all 18 people were asked to rate on a scale from 1 to 7 how depressed they felt, where 1 = not depressed at all and 7 = very depressed. The following are the data:

Drug	No Drug	Placebo
2	4	5
3	5	5
4	5	6
4	4	5
2	6	4
3	6	5
n_D = 6	n_ND = 6	n_placebo = 6
M_D = 3	M_ND = 5	M_placebo = 5

Using an α-level of .05, perform an Analysis of Variance (ANOVA) to determine whether there is a difference among the three conditions. Specifically, answer the following questions:

What is the within condition degrees of freedom, df_within?
What is the within condition sum of squares, SS_within?
What is the within condition mean squares, MS_within?
What is the between condition degrees of freedom, df_between?
What is the between condition sum of squares, SS_between?
What is the between condition mean squares, MS_between?
Calculate the F-value for this experiment.
Using Table F, choose the appropriate critical value of F for this problem.
Based on the relationship between the value of F you calculated in (7) and the critical value of F you chose in (8), can the researcher conclude that there is a difference among the three conditions?

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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