1. A set of lengths (cm) is: 12, 15, 15, 16, 45. Which measure of centre best represents the typical length?

2. Temperatures (°C) recorded over a week: 12, 13, 13, 14, 16, 22, 28. Which describes the distribution?

3. You are analysing many continuous time measurements (e.g. stop‑watch times). Which visualisation is most appropriate to show the distribution?

4. Check all that apply: Which of the following raise concerns about a dataset's reliability?

5. Compute summary statistics for these object lengths (cm): 102, 98, 100, 97, 103.

Write the mean, median and range, then one sentence interpreting which value you would use to represent a "typical" length and why.

6. A scatter plot shows a general upward trend with spread around the trend. Sketch a line of best fit for a positive relationship and write a prediction: if x = 10, estimate y. Comment briefly on uncertainty.

7. A published bar chart of average speeds starts its vertical axis at 40 km/h (not 0), making small differences look large. Explain in 2–3 sentences why this can be misleading and one way to improve the graph.

8. Running times (s): 52, 49, 51, 50, 120. Identify any outlier, suggest two plausible reasons it occurred, and state whether you would include it when calculating the mean. Explain briefly.

9. You make a prediction from a group dataset. How confident are you? List two factors that increase or decrease your confidence (one factor per line).