In: Math
SOLVE WITH SPSS ONLY
We wish to assess the effect of three different track surfaces on sprinter speed. Six world-class sprinters are asked to run five 100m dashes on each of the three track surfaces. Their average times are recorded below. USE SPSS NO EXCEL NO HAND
Surface 1 Surface 2 Surface 3
Sprinter 1 9.85 10.00 10.04
Sprinter 2 9.90 10.07 10.16
Sprinter 39.89 9.99 10.17
Sprinter 4 9.88 9.98 10.04
Sprinter 5 9.81 10.03 10.10
Sprinter 6 9.81 9.95 10.12
Using the sprinters as blocks, discuss the differences between the track surfaces as suggested by SPSS. Give a statement to be tested, identify the random variables involved and the assumptions you make about them, state the hypotheses to be tested, ask SPSS to run the analysis for you, including a post hoc, and then discuss the outcome. Describe the critical region(s) upon which you base your decisions. Include any SPSS output in your discussion.
Anova: Two-Factor Without Replication | ||||||
SUMMARY | Count | Sum | Average | Variance | ||
Sprinter 1 | 3 | 29.89 | 9.963333333 | 0.010033333 | ||
Sprinter 2 | 3 | 30.13 | 10.04333333 | 0.017433333 | ||
Sprinter 3 | 3 | 30.05 | 10.01666667 | 0.020133333 | ||
Sprinter 4 | 3 | 29.9 | 9.966666667 | 0.006533333 | ||
Sprinter 5 | 3 | 29.94 | 9.98 | 0.0229 | ||
Sprinter 6 | 3 | 29.88 | 9.96 | 0.0241 | ||
Surface1 | 6 | 59.14 | 9.856666667 | 0.001586667 | ||
Surface2 | 6 | 60.02 | 10.00333333 | 0.001746667 | ||
Surface3 | 6 | 60.63 | 10.105 | 0.00319 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Rows | 0.017383333 | 5 | 0.003476667 | 2.282275711 | 0.124965406 | 3.32583453 |
Columns | 0.187033333 | 2 | 0.093516667 | 61.38949672 | 2.423E-06 | 4.102821015 |
Error | 0.015233333 | 10 | 0.001523333 | |||
Total | 0.21965 | 17 | ||||
Tukey's hsd=CR=Qa* MSE/cn'
=0.11 (For 0.05 significance level)
X1-X2= | -0.08 |
X1-X3= | -0.053333333 |
X1-X4= | -0.003333333 |
X1-X5= | -0.016666667 |
X1-X6= | 0.003333333 |
X2-X3= | 0.026666667 |
X2-X4= | 0.076666667 |
X2-X5= | 0.063333333 |
X2-X6= | 0.083333333 |
X3-X4= | 0.05 |
X3-X5= | 0.036666667 |
X3-X6= | 0.056666667 |
X4-X5= | -0.013333333 |
X4-X6= | 0.006666667 |
X5-X6= | 0.02 |
Since critical value is more than all the differences, there is no significant difference between any of the pairs
To run randomized block design anova in spss, please see the steps below: -
a) Select Analyze > General Linear Model > Univariate
b) Insert dependent and independent variables and also select Tukey as the post hoc test
c) Click Continue and OK