Question

I am looking for the most appropriate statistical test to use to analysis the data from this study. The assessment is to see if a change in core strength has an effect on running efficiency.

Core Strength Assessment	Time (seconds) pre	Time (seconds) post
Plank	42	61
Side Plank-Left	23	32
Side Plank-Right	24	35

Running Mechanics

Pre assessment

Measurement	Analysis
Tibia Angle	Vertical
Knee Flexion	58 degrees
Hip Extension	25 degrees
Trunk Lean	7 degrees
Over striding	Moderate
Vertical Displacement	Moderate

Post Assessment

Measurement	Analysis
Tibia Angle	Flexed
Knee Flexion	41 degrees
Hip Extension	36 degrees
Trunk Lean	11 degrees
Over striding	Minor over striding
Vertical Displacement	Minimal vertical displacement

Answer 1

So in order to say the most appropriate statistical test, the sample size should be known in the first place.

Here a few options can be given since many information is missing in the question,

1. Check for Normality, if data is normal we can go for either of the two parametric tests;

(a) go for Repeated measures one way ANOVA if it is paired

(b) go for One way ANOVA if it is unpaired

2. Now if data does not follow a Gaussian distribution then go for Kruskal-Wallis Test.