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LSD and Tukey yardsticks, and one-way ANOVA - SES2003
LSD and Tukey yardsticks on three treatments. Also one-way Anova test on same set of data.
Metadata
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England schools
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England university
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Scotland schools
Taxonomy: mathcentre
Taxonomy: Kind of activity
Taxonomy: Context
Feedback
From users who are members of Newcastle University Sports Science :
Tom Lowe | said | Has some problems | 4 years, 3 months ago |
History
Tom Lowe commented 4 years, 3 months ago
Could use some adaptive marking in part e), as the LSD and Tukey yardsticks depend on the value found for the sqrt(RMS) in part a), and which differences are found to be significant depends on the means for the groups found in part d).
Also there is no advice for parts a), b) and c), and the advice for part e) doesn't explain where most of the terms in the calculation of the yardsticks come from (ie the critical values or the sample size of one group).
Tom Lowe 4 years, 3 months ago
Gave some feedback: Has some problems
Chris Graham 6 years, 1 month ago
Created this as a copy of LSD and Tukey yardsticks, and one-way ANOVA.Name | Status | Author | Last Modified | |
---|---|---|---|---|
LSD and Tukey yardsticks, and one-way ANOVA | draft | Newcastle University Mathematics and Statistics | 20/11/2019 14:51 | |
LSD and Tukey yardsticks, and one-way ANOVA - SES2003 | Has some problems | Chris Graham | 23/11/2022 13:16 | |
LSD and Tukey yardsticks, and one-way ANOVA - Mock Test - SES2003 | Needs to be tested | Chris Graham | 04/03/2019 10:28 |
There is one other version that you do not have access to.
Name | Type | Generated Value |
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lsd | number |
3.58
|
||||
tukey | number |
4.36
|
||||
sd1 | number |
2.50
|
||||
sd2 | number |
3.10
|
||||
sd3 | number |
3.08
|
||||
vr | number |
27.28
|
||||
w3 | list |
[ 1, 0, 0 ]
|
||||
w2 | list |
[ 1, 0, 0 ]
|
||||
w1 | list |
[ 0, 0, 1 ]
|
||||
mbt | number |
230.22
|
||||
n | integer |
18
|
||||
pmsg | list |
List of 5 items
|
||||
mu3 | number |
32.5
|
||||
stderror | number |
3.45
|
||||
sqrms | number |
2.91
|
||||
dfrs | integer |
15
|
||||
m1 | number |
23.67
|
||||
m3 | number |
35.67
|
||||
m2 | number |
27.00
|
||||
btss | number |
460.44
|
||||
stovern | number |
15367.3333333333
|
||||
tss | number |
587.11
|
||||
dfbt | integer |
2
|
||||
tol | number |
0.01
|
||||
yn | list |
Nested 3×3 list
|
||||
ssq | list |
[ 3392, 4422, 7680 ]
|
||||
sig1 | number |
3
|
||||
v1 | list |
[ 1, 0, 0, 0, 0 ]
|
||||
sig3 | number |
3
|
||||
sig2 | number |
3
|
||||
cmsg | list |
List of 5 items
|
||||
rss | number |
126.67
|
||||
tsqovern | list |
List of 3 items
|
||||
mu1 | number |
24.5
|
||||
g | number |
518
|
||||
r2 | list |
[ 24, 31, 28, 30, 24, 25 ]
|
||||
mu2 | number |
28.5
|
||||
ss | number |
15494
|
||||
k | integer |
3
|
||||
r3 | list |
[ 33, 39, 34, 35, 33, 40 ]
|
||||
mrs | number |
8.44
|
||||
r1 | list |
[ 22, 27, 23, 25, 25, 20 ]
|
||||
u | integer |
0
|
||||
t | list |
[ 142, 162, 214 ]
|
||||
w | list |
Nested 3×3 list
|
||||
v | list |
[ 1, 0, 0, 0, 0 ]
|
||||
n1 | integer |
6
|
||||
n2 | integer |
6
|
||||
n3 | integer |
6
|
||||
pvalue | number |
0.000
|
Generated value: number
- n1
- sqrms
- w1
- w2
- w3
- Advice
- "Part e)" → "Gap 0." - Minimum accepted value
- "Part e)" → "Gap 0." - Maximum accepted value
Gap-fill
Ask the student a question, and give any hints about how they should answer this part.
You are given the following ANOVA table for this data:
Source | df | SS | MS | VR |
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Between Treatments | $\var{dfbt}$ | $\var{btss}$ | $\var{mbt}$ | $\var{vr}$ |
Residual | $\var{dfrs}$ | $\var{rss}$ | $\var{mrs}$ | - |
Total | $\var{n-1}$ | $\var{tss}$ | - | - |
Input $\sqrt{RMS}$ here:
This will be used to calculate the LSD and Tukey yardstick values later.
Use this tab to check that this question works as expected.
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Match choices with answers | ||
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This question is used in the following exams: