In: Statistics and Probability
The purpose of this activity is to show how the sample statistics for each group relate to information provided in the ANOVA summary table. For this exercise, you should run a one-factor ANOVA with the data provided below. Additionally, use a spreadsheet to generate the sample statistics for each group. At a minimum, this should include the group means and standard deviations.
Group 1 | Group 2 | Group 3 | Group 4 |
---|---|---|---|
84 | 68.4 | 38.6 | 78.5 |
55.3 | 66.7 | 32.8 | 84.7 |
73.4 | 28 | 43.5 | 60.5 |
67.8 | 51.2 | 44.8 | 54.9 |
72.5 | 67.3 | 63.5 | 68.2 |
70.6 | 43 | 74.3 | 60.5 |
46.4 | 47.8 | 42.6 | 57.2 |
45.5 | 46.3 | 45.9 | 63 |
68 | 53.8 | 48.9 | 37.1 |
73 | 60.9 | 61.7 | 67.2 |
For this activity, we will be focusing on the Sum of
Squares portion of the ANOVA summary table. Please report
the following values from the table (report all numbers for this
exercise accurate to 3 decimal places).
SSbetween=SSbetween=
SSwithin=SSwithin=
SStotal=SStotal=
This next activity requires you to treat the data set as one large
group. Use a spreadsheet to find the standard deviation of all the
dependent variables (as one data set).
sy=sy=
Now, square this value to obtain the variance:
s2y=sy2=
Now, multiple the variance by one less than the entire sample
size:
(n⋅g−1)⋅s2y=(n⋅g-1)⋅sy2=
If you obtained the correct value, this should be one of the SS
values from the summary table. Question for reflection: Why did
this process produce this value in the table? (Hint:
What “spread” is being measured by these values?)
This next activity requires you to work with the means of each
group as a new (much smaller) data set. First, please report the
group means:
Group 1: M1=M1=
Group 2: M2=M2=
Group 3: M3=M3=
Group 4: M4=M4=
Now, calculate the standard deviation of these four sample
means:
sM=sM=
Now, square this value to obtain the variance:
s2M=sM2=
Finally, multiple the variance by one less the number of groups and
then by the number of subjects per group:
n⋅(g−1)⋅s2M=n⋅(g-1)⋅sM2=
If you obtained the correct value, this should be one of the SS
values from the summary table. Question for reflection: Why did
this process produce this value in the table? (Hint:
What “spread” is being measured by these values?)
This final activity requires you to first calculate the sample
standard deviations for each group. Please report the values
here:
Group 1: s1=s1=
Group 2: s2=s2=
Group 3: s3=s3=
Group 4: s4=s4=
For the first group, square the standard deviation to obtain the
sample variance:
s21=s12=
Now multiply the variance by one less than the number of subjects
in that group:
(n−1)⋅s21=(n-1)⋅s12=
Now, repeat this procedure for the other three groups. Finally, add
these 4 values together:
∑(n−1)⋅s2j=∑(n-1)⋅sj2=
If you obtained the correct value, this should be one of the SS
values from the summary table. Question for reflection: Why did
this process produce this value in the table? (Hint:
What “spread” is being measured by these values?)
Treatments | ||||||
Group 1 | Group 2 | Group 3 | Group 4 | Total | ||
N | 10 | 10 | 10 | 10 | 40 | |
∑X | 656.5 | 533.4 | 496.6 | 631.8 | 2318.3 | |
Mean | 65.65 | 53.34 | 49.66 | 63.18 | 57.958 | |
∑X2 | 44515.31 | 29942.96 | 26137.5 | 41455.18 | 142050.95 | |
Std.Dev. | 12.5436 | 12.8729 | 12.8077 | 13.0727 | 14.0403 |
By using ANOVA calculator:
Source | SS | df | MS | |
Between-treatments | 1766.1888 | 3 | 588.7296 | F = 3.57897 |
Within-treatments | 5921.889 | 36 | 164.4969 | |
Total | 7688.0778 | 39 |
The f-ratio value is 3.57897.
The p-value is .023091. The result is significant at p < .05.
the standard deviation of all the dependent variables (as one
data set).
Sy = Sqrt(197.13019871795)
= 14.04030621881
(n.g - 1) = (9*4 -1) 197.13019871795
= 6899.55695513
The sample mean for each group.
Group 1 M1 = 65.65
Group 2 M2 = 53.34
Group 3 M3 = 49.66
Group 4 M4 = 63.18
The sample standard deviations for each group.
Standard deviation for group 1 = 12.5436
Standard deviation for group 2 = 12.8729
Standard deviation for group 3 = 12.8077
Standard deviation for group 4 = 13.0727
The sample variance for Group 1 = 157.34190096
Now multiply the variance by one less than the number of
subjects in that group:
(n−1)⋅ = (9 -
1)157.34190096 = 1258.73520768
Now, repeat this procedure for the other three groups. Finally,
add these 4 values together:
∑(n−1)⋅ = (9 -1)
(157.34190096 + 165.71155441 + 164.03717929 + 170.89548529)
∑(n−1)⋅ = 5263.8889596