Student Worksheet — Session 5: Probability and Prediction

Data Science for Young Minds · Grade 5 · Ages 10–11
Part 1 — Vocabulary
Probability
Experimental Probability
Theoretical Probability
Trial
Law of Large Numbers
Simulation
Part 2 — Coin Flip Experiment

Theoretical probability of heads = 50% (1/2) for a fair coin. Now let's see what actually happens.

Round 1 — 10 Flips. Tally each result below:

Heads (H):

Tails (T):

Total Heads: _____    Total Tails: _____    Check: Total = 10?

My experimental probability of heads (10 flips): _____ ÷ 10 × 100 = _____%

Round 2 — 50 Flips. Flip in groups of 10. Tally each group:

GroupHeads countTails countRunning heads total
Flips 1–10
Flips 11–20
Flips 21–30
Flips 31–40
Flips 41–50
TOTAL (50 flips)

My experimental probability of heads (50 flips): _____ ÷ 50 × 100 = _____%

Summary Comparison:

Round# HeadsTotal FlipsExperimental % headsTheoretical % headsDifference from theoretical
10 flips1050%
50 flips5050%
Part 3 — Graph Your Results

Draw a bar chart comparing your 10-flip %, your 50-flip %, and the theoretical 50%. Use different colors for each. Label the Y-axis in increments of 10% (0 to 100%).

Y-axis: Percentage of Heads (0–100%)  |  Color key: _____ = 10-flip   _____ = 50-flip   _____ = Theoretical

10-Flip
Result
50-Flip
Result
Theoretical
50%

Draw your bars to the correct heights. Write the % value above each bar.

Part 4 — Analysis Writing

Which result was closer to the theoretical 50% — your 10-flip or 50-flip round? Use your actual percentages in your answer.

Explain the Law of Large Numbers using your own data as evidence.

Predict: If you flipped 200 times, approximately what % heads would you expect? Explain your reasoning.

Part 5 — Probability Reasoning

1.A weather app says "70% chance of rain tomorrow." Does this mean it will definitely rain? Explain what it actually means.

2.A student flips a coin 5 times and gets tails every time. They say "heads is due next!" Are they right? Explain using what you know about probability.

3.A drug company says "our drug worked in 8 out of 10 patients in our trial." A different trial used 500 patients and found it worked in 400. Which result would you trust more, and why?

Take-Home Challenge — Probability in the News

Find one example of probability being used in real life (news article, weather forecast, sports statistic, medical study, etc.).

Source: ___________________________________________
What probability is being stated? (e.g., "40% chance of...")
Is this experimental or theoretical probability? How do you know?
Does the source mention the sample size? Should it?

What I found and what it means: