Final answer:
When measuring sports mechanics, one needs a quantitative output, which represents numerical data. Duration and number of times per week are examples of quantitative continuous and discrete data, respectively, and are necessary for accurate sports mechanics analysis.
Step-by-step explanation:
Understanding Measurements in Sports Mechanics
When looking to measure sports mechanics, you need a quantitative output, that describes numbers. The correct answer is (a) Quantitative. Quantitative data is numerical and can be used to measure variables such as time, speed, and distance, which are all critical in sports mechanics. For example, the duration of a sprint—how long it takes to complete—is considered quantitative continuous data because it involves measuring a time interval. Similarly, the number of times an athlete practices a specific drill per week can be classified as quantitative discrete data since it counts occurrences.
In the context of sports mechanics, data needs to be not only quantitative but also valid and reliable to accurately reflect the performance and progress of the athlete. Qualitative data, which describes qualities or characteristics, does not provide the measurable detail required for analyzing sports mechanics.
To measure variables like torque in an experiment related to sports, one could employ methods such as hanging known masses from a string wound around a spool or using mechanical systems to apply consistent forces. These approaches provide quantitative data needed for analysis. The understanding of sports mechanics heavily relies on the principles of physics, specifically kinematics and dynamics, and the proper collection and interpretation of quantitative data are essential for this.