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Quantitative data is numerical information that can be measured and analyzed statistically. In Physical Education (PE), it helps objectively evaluate performance, fitness levels, and progress.
Performance Measurement:
Timing and Scoring: Recording times, distances, scores, and other measurable performance metrics.
Statistics: Analyzing win/loss records, shooting percentages, and other game statistics. Fitness Assessment:
Fitness Tests: Conduct tests such as the beep test, 12-minute run, or strength assessments to measure physical fitness components.
Body Measurements: Recording data such as BMI, body fat percentage, and muscle mass. Training and Progress Tracking:
Workout Logs: Tracking sets, reps, weights, and other training variables.
Progress Charts: Visualizing improvements over time in various fitness parameters. Injury and Health Monitoring:
Injury Reports: Collecting data on injury frequency, type, and recovery times.
Health Metrics: Monitoring heart rate, blood pressure, and other health indicators.
Examples: This table shows lots of data in the normative table for the vertical jump test. There are lots of numbers but all you have to do is locate the age group and the score. For example, a female scored 44 cm
Trends Below is a graph showing trends in obesity among young children aged 2-19. You will need to analyse the data and identify the trends in data
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