Welcome to the World of Sports Data!

Ever wondered how professional football teams know exactly when a player is getting tired, or how Olympic swimmers shave milliseconds off their time? It all comes down to data. In this chapter, we are going to learn how to collect, present, and understand information to improve performance. Don’t worry if you aren’t a "maths person"—we’ll break it down step-by-step!

1. Collecting Data: Numbers vs. Words

In Physical Education, we collect two main types of data. A simple way to remember the difference is to look at the spelling of the words!

Quantitative Data (Think: N for Numbers)

Quantitative data deals with quantities—things you can measure and write down as numbers. It is "hard" evidence that doesn't change based on opinion.

Examples:
  • Your score on the Multi-Stage Fitness Test (e.g., Level 9.2).
  • How many goals a netballer scored in a season.
  • The time it took to run 100 metres (e.g., 12.5 seconds).

How do we collect it? we usually use questionnaires (with tick boxes) or surveys.

Qualitative Data (Think: L for Language/Letters)

Qualitative data deals with descriptions and feelings. It explains "why" or "how" someone feels about their performance. It is more about the quality of the experience.

Examples:
  • A coach telling a gymnast their routine looked "graceful but lacked power."
  • An athlete describing how nervous they felt before a big race.
  • Observing a player's leadership skills during a game.

How do we collect it? We usually use interviews or observations.

Quick Review:

Quantitative = Numbers, Surveys, Statistics.
Qualitative = Descriptions, Interviews, Opinions.

Memory Tip: Quantitative has an 'N' for Numbers. Qualitative has an 'L' for Language.

2. Presenting Your Data

Once you have collected your data, you need to show it to others in a way that is easy to understand. We use tables and graphs for this.

Tables

A table is the simplest way to organize raw data into rows and columns. It’s like a shopping list for your results!

Graphs and Charts

Graphs make data visual. Instead of looking at a list of numbers, you can see patterns and trends.

  • Bar Charts: Best for comparing different categories. Example: Comparing the average fitness scores of the Year 10 football team vs. the Year 11 team.
  • Line Graphs: Best for showing how something changes over time. Example: Tracking an athlete’s heart rate every minute during a 20-minute run.
  • Pie Charts: Best for showing percentages or "parts of a whole." Example: Showing what percentage of a footballer's passes were successful, unsuccessful, or intercepted.

Labeling Your Graphs (Don't lose easy marks!)

When drawing or reading a graph, you must look at the axes:

1. The x-axis is the horizontal line (the one going across).
2. The y-axis is the vertical line (the one going up).

Did you know? A simple way to remember which is which is that the letter "Y" has a long vertical line, just like the Y-axis goes up and down!

3. Analysing and Evaluating Data

This is where you become a "data detective." Analysing means looking at the data to see what happened. Evaluating means deciding what that data tells us about the athlete's performance.

What to look for:

  • Trends: Is the line on the graph going up (improvement) or down (decline)?
  • Peaks: Where is the highest point? (e.g., When was the heart rate at its maximum?)
  • Troughs: Where is the lowest point?
  • Anomalies: Is there a piece of data that looks totally different from the rest? Why might that be?

Analogy: Imagine you are looking at a line graph of your bank account. If the line is going down, you are spending too much! In PE, if a line graph of your 1500m times is going down, it actually means you are getting faster and fitter.

Common Mistake to Avoid:

Don't just describe the numbers! Example: "The heart rate was 120, then 140, then 160."
Instead, evaluate it: "The graph shows a steady increase in heart rate, which suggests the intensity of the exercise was increasing."

Section Summary: Key Takeaways

- Quantitative data is about numbers and is collected via surveys.
- Qualitative data is about words and feelings, collected via interviews.
- Bar charts compare groups; Line graphs show change over time; Pie charts show proportions.
- Always label your x-axis and y-axis.
- Use data to identify strengths and weaknesses in performance.

Keep practicing reading different graphs—the more you look at them, the easier they become to understand!