Athlete Knee Valgus Max During OH Squat Glute Med MVIC During SL Hop Stop Hop Distance (cm) Strength Deadlift Speed (Post-season) Speed Pre-season BW (kg) L R L R L R Squat (lbs) Postseason Preseason Trial 1 Trial 2 Trial 3 Best time Athlete #1 G 83 6.2 3.5 41% 55% 189 191 260 280 290 1.01 0.99 0.98 0.98 Athlete #2 G 89 6.4 6 39% 44% 186 199 280 305 315 0.99 0.99 0.98 0.97 Athlete #3 G 82.5 6.4 5.5 44% 47% 179 180 275 260 290 1.14 1.12 1.16 1.13 Athlete #4 C 130 5.7 2.2 48% 81% 195 196 350 325 345 1.03 1.09 1.11 1.08 Athlete #5 F 100 6.3 4.7 42% 70% 191 184 300 240 250 1.1 1 1.05 1.02 Athlete #6 F 100 5.8 3.5 44% 74% 194 197 300 315 320 0.96 0.95 0.94 0.92 Athlete #7 G 82.5 6.3 5.5 38% 48% 210 206 310 350 365 0.99 1 1.03 1.02 Athlete #8 F 94.5 6.2 5.1 38% 50% 182 190 295 300 360 1.1 1.12 1.05 1.04 Athlete #9 F 90 5.4 4.8 47% 63% 185 185 235 300 350 1.08 1.07 1.05 1.05 Athlete #10 F 92 7.5 6.1 29% 39% 205 203 345 335 365 1.07 1.09 1.11 1.08 Athlete #11 F 100 5 3.2 52% 54% 200 198 350 320 370 1.09 1.05 1.08 1.07 Athlete #12 G 83 4.6 3.2 52% 62% 198 198 275 310 330 1.1 1.12 1.2 1.09 Athlete #13 G 80 5.4 3.8 51% 61% 177 180 285 285 280 0.98 0.99 1.05 0.97 Athlete #14 C 120 3.3 3.3 68% 70% 175 180 340 270 275 1.02 1.01 0.99 0.98 Athlete #15 G 85 1 2.3 85% 80% 193 191 275 290 305 1.09 1.04 1.06 1.07 Athlete #16 G 90 7.4 6.6 25% 28% 178 180 270 260 310 1.11 1.06 1.06 1.06 Athlete #17 F 96 6 0.2 40% 92% 190 189 330 280 340 1.08 1.07 1.05 1.06 Athlete #18 G 88 6.9 5.9 33% 43% 201 199 310 305 310 0.97 1 1.2 0.96 Athlete #19 C 115 8.1 7.3 17% 27% 209 203 350 330 345 1.16 1.13 1.1 1.09 Athlete #20 C 117 5.6 5.6 44% 44% 203 200 340 340 380 1.2 1.16 1.13 1.1 Athlete #21 G 78 5.8 3.6 50% 61% 205 199 285 320 330 1.13 1.11 1.09 1.08 Athlete #22 F 82 6.3 2.4 39% 78% 184 188 215 250 270 1.05 1.03 1.04 1.05 Which metric, glute med maximal voluntary isometric contraction (MVIC) activation during a stop hop test or stop hop distance, has a stronger relationship with knee valgus during an overhead squat. Explain what these data indicate (what kind of relationship?) Copy and paste a graph of this relationship. Run a t-test and determine if 10-meter fly sprint speed is statistically different from the pre-season to the postseason (use the best time from the postseason). Also, calculate a coefficient of variation (CV) for postseason sprint times. Did the team adequately improve?
Athlete Knee Valgus Max During OH Squat Glute Med MVIC During SL Hop Stop Hop Distance (cm) Strength Deadlift Speed (Post-season) Speed Pre-season BW (kg) L R L R L R Squat (lbs) Postseason Preseason Trial 1 Trial 2 Trial 3 Best time Athlete #1 G 83 6.2 3.5 41% 55% 189 191 260 280 290 1.01 0.99 0.98 0.98 Athlete #2 G 89 6.4 6 39% 44% 186 199 280 305 315 0.99 0.99 0.98 0.97 Athlete #3 G 82.5 6.4 5.5 44% 47% 179 180 275 260 290 1.14 1.12 1.16 1.13 Athlete #4 C 130 5.7 2.2 48% 81% 195 196 350 325 345 1.03 1.09 1.11 1.08 Athlete #5 F 100 6.3 4.7 42% 70% 191 184 300 240 250 1.1 1 1.05 1.02 Athlete #6 F 100 5.8 3.5 44% 74% 194 197 300 315 320 0.96 0.95 0.94 0.92 Athlete #7 G 82.5 6.3 5.5 38% 48% 210 206 310 350 365 0.99 1 1.03 1.02 Athlete #8 F 94.5 6.2 5.1 38% 50% 182 190 295 300 360 1.1 1.12 1.05 1.04 Athlete #9 F 90 5.4 4.8 47% 63% 185 185 235 300 350 1.08 1.07 1.05 1.05 Athlete #10 F 92 7.5 6.1 29% 39% 205 203 345 335 365 1.07 1.09 1.11 1.08 Athlete #11 F 100 5 3.2 52% 54% 200 198 350 320 370 1.09 1.05 1.08 1.07 Athlete #12 G 83 4.6 3.2 52% 62% 198 198 275 310 330 1.1 1.12 1.2 1.09 Athlete #13 G 80 5.4 3.8 51% 61% 177 180 285 285 280 0.98 0.99 1.05 0.97 Athlete #14 C 120 3.3 3.3 68% 70% 175 180 340 270 275 1.02 1.01 0.99 0.98 Athlete #15 G 85 1 2.3 85% 80% 193 191 275 290 305 1.09 1.04 1.06 1.07 Athlete #16 G 90 7.4 6.6 25% 28% 178 180 270 260 310 1.11 1.06 1.06 1.06 Athlete #17 F 96 6 0.2 40% 92% 190 189 330 280 340 1.08 1.07 1.05 1.06 Athlete #18 G 88 6.9 5.9 33% 43% 201 199 310 305 310 0.97 1 1.2 0.96 Athlete #19 C 115 8.1 7.3 17% 27% 209 203 350 330 345 1.16 1.13 1.1 1.09 Athlete #20 C 117 5.6 5.6 44% 44% 203 200 340 340 380 1.2 1.16 1.13 1.1 Athlete #21 G 78 5.8 3.6 50% 61% 205 199 285 320 330 1.13 1.11 1.09 1.08 Athlete #22 F 82 6.3 2.4 39% 78% 184 188 215 250 270 1.05 1.03 1.04 1.05 Which metric, glute med maximal voluntary isometric contraction (MVIC) activation during a stop hop test or stop hop distance, has a stronger relationship with knee valgus during an overhead squat. Explain what these data indicate (what kind of relationship?) Copy and paste a graph of this relationship. Run a t-test and determine if 10-meter fly sprint speed is statistically different from the pre-season to the postseason (use the best time from the postseason). Also, calculate a coefficient of variation (CV) for postseason sprint times. Did the team adequately improve?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Athlete | Knee Valgus Max During OH Squat | Glute Med MVIC During SL Hop | Stop Hop Distance (cm) | Strength | Deadlift | Speed (Post-season) | Speed Pre-season | ||||||||
BW (kg) | L | R | L | R | L | R | Squat (lbs) | Postseason | Preseason | Trial 1 | Trial 2 | Trial 3 | Best time | ||
Athlete #1 | G | 83 | 6.2 | 3.5 | 41% | 55% | 189 | 191 | 260 | 280 | 290 | 1.01 | 0.99 | 0.98 | 0.98 |
Athlete #2 | G | 89 | 6.4 | 6 | 39% | 44% | 186 | 199 | 280 | 305 | 315 | 0.99 | 0.99 | 0.98 | 0.97 |
Athlete #3 | G | 82.5 | 6.4 | 5.5 | 44% | 47% | 179 | 180 | 275 | 260 | 290 | 1.14 | 1.12 | 1.16 | 1.13 |
Athlete #4 | C | 130 | 5.7 | 2.2 | 48% | 81% | 195 | 196 | 350 | 325 | 345 | 1.03 | 1.09 | 1.11 | 1.08 |
Athlete #5 | F | 100 | 6.3 | 4.7 | 42% | 70% | 191 | 184 | 300 | 240 | 250 | 1.1 | 1 | 1.05 | 1.02 |
Athlete #6 | F | 100 | 5.8 | 3.5 | 44% | 74% | 194 | 197 | 300 | 315 | 320 | 0.96 | 0.95 | 0.94 | 0.92 |
Athlete #7 | G | 82.5 | 6.3 | 5.5 | 38% | 48% | 210 | 206 | 310 | 350 | 365 | 0.99 | 1 | 1.03 | 1.02 |
Athlete #8 | F | 94.5 | 6.2 | 5.1 | 38% | 50% | 182 | 190 | 295 | 300 | 360 | 1.1 | 1.12 | 1.05 | 1.04 |
Athlete #9 | F | 90 | 5.4 | 4.8 | 47% | 63% | 185 | 185 | 235 | 300 | 350 | 1.08 | 1.07 | 1.05 | 1.05 |
Athlete #10 | F | 92 | 7.5 | 6.1 | 29% | 39% | 205 | 203 | 345 | 335 | 365 | 1.07 | 1.09 | 1.11 | 1.08 |
Athlete #11 | F | 100 | 5 | 3.2 | 52% | 54% | 200 | 198 | 350 | 320 | 370 | 1.09 | 1.05 | 1.08 | 1.07 |
Athlete #12 | G | 83 | 4.6 | 3.2 | 52% | 62% | 198 | 198 | 275 | 310 | 330 | 1.1 | 1.12 | 1.2 | 1.09 |
Athlete #13 | G | 80 | 5.4 | 3.8 | 51% | 61% | 177 | 180 | 285 | 285 | 280 | 0.98 | 0.99 | 1.05 | 0.97 |
Athlete #14 | C | 120 | 3.3 | 3.3 | 68% | 70% | 175 | 180 | 340 | 270 | 275 | 1.02 | 1.01 | 0.99 | 0.98 |
Athlete #15 | G | 85 | 1 | 2.3 | 85% | 80% | 193 | 191 | 275 | 290 | 305 | 1.09 | 1.04 | 1.06 | 1.07 |
Athlete #16 | G | 90 | 7.4 | 6.6 | 25% | 28% | 178 | 180 | 270 | 260 | 310 | 1.11 | 1.06 | 1.06 | 1.06 |
Athlete #17 | F | 96 | 6 | 0.2 | 40% | 92% | 190 | 189 | 330 | 280 | 340 | 1.08 | 1.07 | 1.05 | 1.06 |
Athlete #18 | G | 88 | 6.9 | 5.9 | 33% | 43% | 201 | 199 | 310 | 305 | 310 | 0.97 | 1 | 1.2 | 0.96 |
Athlete #19 | C | 115 | 8.1 | 7.3 | 17% | 27% | 209 | 203 | 350 | 330 | 345 | 1.16 | 1.13 | 1.1 | 1.09 |
Athlete #20 | C | 117 | 5.6 | 5.6 | 44% | 44% | 203 | 200 | 340 | 340 | 380 | 1.2 | 1.16 | 1.13 | 1.1 |
Athlete #21 | G | 78 | 5.8 | 3.6 | 50% | 61% | 205 | 199 | 285 | 320 | 330 | 1.13 | 1.11 | 1.09 | 1.08 |
Athlete #22 | F | 82 | 6.3 | 2.4 | 39% | 78% | 184 | 188 | 215 | 250 | 270 | 1.05 | 1.03 | 1.04 | 1.05 |
- Which metric, glute med maximal voluntary isometric contraction (MVIC) activation during a stop hop test or stop hop distance, has a stronger relationship with knee valgus during an overhead squat. Explain what these data indicate (what kind of relationship?) Copy and paste a graph of this relationship.
- Run a t-test and determine if 10-meter fly sprint speed is statistically different from the pre-season to the postseason (use the best time from the postseason). Also, calculate a coefficient of variation (CV) for postseason sprint times. Did the team adequately improve?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 5 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman