CSCS Data Analysis & Reporting 4

Question 1

A strength coach uses GPS tracking data during practice. Athletes show average high-speed running distances of 450 ± 85 m. Which statistical term does '± 85 m' represent?

Accepted Answer

Standard deviation

Answer

The ± notation following a mean in sport science typically denotes standard deviation, reflecting the spread of individual scores around the group mean.

Question 2

When designing a performance test battery report for coaching staff, which principle should guide data visualization choices?

Accepted Answer

Match the chart type to the nature of the data and audience needs

Answer

Effective data visualization aligns chart type with the data structure (categorical vs. continuous) and is designed for the audience's technical literacy.

Question 3

A researcher finds no statistically significant difference (p = 0.08) in strength gains between two training protocols, but Cohen's d = 0.9. How should a CSCS practitioner interpret this?

Accepted Answer

The study may be underpowered; the large effect size suggests practical relevance worth investigating

Answer

Non-significance with a large effect size often indicates insufficient sample size (low power), and the practical difference may still be meaningful in applied settings.

Question 4

Which of the following best describes 'predictive validity' in the context of performance testing?

Accepted Answer

The test score accurately predicts a relevant future outcome or performance criterion

Answer

Predictive validity refers to how well a test score forecasts a future outcome, such as using a combine test to predict game performance.

Question 5

An athlete's Reactive Strength Index (RSI) drops 15% from pre-season to mid-season. In a well-designed monitoring system, what is the FIRST step in responding to this finding?

Accepted Answer

Verify data quality and contextualize with other wellness and load metrics

Answer

Before acting on a performance decrement, practitioners should confirm the data are accurate and consider contextual factors such as recent load, fatigue, and wellness scores.

Certified Strength and Conditioning Specialist Practice Test

Certified Strength and Conditioning Specialist Practice Test

CSCS Data Analysis & Reporting 4