Question 1
Baseball Players |
Basketball Players |
Football Players |
|
32 |
27 |
27 |
|
27 |
36 |
23 |
|
26 |
25 |
26 |
|
35 |
30 |
20 |
|
120 |
118 |
96 |
|
3654 |
3550 |
2334 |
Graph for the data
Grand Total (G): Y.. = 120 + 118+ 96 =334
∑∑ Yᵢj² = 3654 + 3550 + 2334 =9538
(b) The hypothesis testing
Step1
The model for this experiment is Yᵢ j = u. + αᵢ + e ij
j = 1 , 2 , 3 ; 1=Baseball 2= Basketball 3= Football
i= 1, 2, 3, 4.
Where Y ij is the jth observation on the ith treatment
u. – the overall mean scab index = 1/3[u1 +u2 + u3]
αᵢ -- the effect of the ith treatment assumed to be a constant.
e ij – random error.
Step2
Hypothesis to be tested
H ₀ : αᵢ =0 versus H ₁ : αᵢ ≄ 0 for some i
Step3: computation of ANOVA Table Components.
SS(TOTAL) = ∑∑Y ij ² –G²/N
Where N = 12
= 9538 – (334²/12)
=9538 – 9296.33
=241.67
SS(Treatment) = [∑Yi²]/n - G²/N
= [(120²/4) + (118²/4) + (96²/4)] – (334²/12)
=9385 – 9296.33
=88.67
SS(ERROR) = SS(TOTAL) – SS(treatment)
=241.67 – 88.67
153.00
ANOVA TABLE
Source |
Df |
Sum of square |
MSS |
F-Ratio |
Treatment |
2 |
88. 67 |
44.335 |
2.609 |
Error |
9 |
153.00 |
17 |
|
Total |
11 |
241.67 |
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