In: Statistics and Probability
(1)
Dependent 2 Samples t test.
REASON: Here the 2 samples: pre cb walk spped and post cb walk speed are dependent.
(2) H0: Null Hypothesis: 
0
HA:Altrnative Hypothesis: 
0
(3)
| Pre cb walk speed (X) | Post cb walk speed (Y) | X-Y=d | 
| 4 | 2 | 2 | 
| 5 | 6 | - 1 | 
| 7 | 5 | 2 | 
| 3 | 1 | 2 | 
| 6 | 3 | 3 | 
| 8 | 4 | 4 | 
From d values, the following statistics are calculated:
n = 6
= 12/6 = 2
sd= 1.6733
SE = sd /
= 1.6733/
= 0.6831
The comparison distribution is a t distribution with mean =
 = 2 and SD = 0.6831
(4)
= 0.05
One Tail - Left Side Test
ndf = n - 1 = - 1 = 5
From Table, critical value of t = - 2.0150
(5)
t = 
/SE
= 2/0.6831 = 2.9278
(6)
Since calculated value of t = - 2.9268 is less than critical value of t = - 2.0150, the difference is significant. Reject null hypothesis.
(7)
Effect Size = (M1 - M2)/SD
= 2/1.6733 = 1.1952
Since Effect Size> 1, the effect size is Large.
(8) Conclusion:
The data support the claim that eating cheeseburger will increase
walking speeds in adults.