hmm ok since you're looking at the effects of improvement, the qualitative data you'll be analyzing is change in 100 meter dash times. so this could be any number: negative or positive or zero.
1. yes independent samples t-test, you have the back squat group, and the barbell hip thrust group as your independent categories, and your change in 100 meter dash times
2. check if the data for each category (change in 100 meter dash times) are normally distributed, if they are, use a T test to see if the data are significantly different after checking for equality of variances. If the data isn't normally distributed you'll want to use a Mann-Whitney U test. If analysis shows the change in 100 meter dash times are significantly different between your categories, use bloxplots to compare the differences.
3. to make this study even better, you might want to record 100 meter dash times throughout the experiment to see how it improves over time
there's one thing that should be changed though:
Both of these individuals in every pair were randomly placed in either the Back Squat group or the Barbell Hip Thrust group (via a coin flip).
should just say Individuals in every pair...
This post was edited by MOMOtheflyingLEMUR on Apr 3 2018 09:34pm