Probability

Observed vs Expected Frequencies

1

Calculate Expected Frequency

Calculate the expected number of times each outcome occurs.

Fair coin flipped 100 times. Expected heads = ___

Fair die rolled 60 times. Expected 3s = ___

4-section spinner, 80 spins. Expected per section = ___

5 colours, 200 draws. Expected per colour = ___

2

More Expected Frequencies

Calculate expected frequency.

Die rolled 120 times. Expected 6s = ___

Coin flipped 50 times. Expected tails = ___

3-section spinner, 90 spins. Expected per section = ___

4 colours, 100 draws. Expected per colour = ___

3

Match Expected to Experiment

Match each experiment to its expected result.

Coin 50 times
Die 120 times
3-spinner 90 times
4 colours 200 times
30 per section
25 heads
20 per number
50 per colour
4

Expected Frequency Check

Circle the correct expected frequency.

Die 30 times. Expected 1s:

3
5
6

Coin 200 times. Expected heads:

50
100
200

5-spinner 100 times. Per section:

10
20
25

8 colours 160 draws. Per colour:

16
20
80
5

Using the Formula

Expected = trials × probability.

P(heads) = 1/2, 80 flips. Expected heads = ___

P(even) = 1/2, 60 rolls. Expected even = ___

P(red) = 1/4, 100 draws. Expected red = ___

P(A) = 3/8, 80 spins. Expected A = ___

6

Compare Observed and Expected

Die rolled 60 times. Expected per number = 10. Observed: 1→8, 2→12, 3→10, 4→15, 5→7, 6→8.

Above expected: ___

Below expected: ___

Die unfair? Explain: ___

7

Is This Expected?

Fair coin, 100 flips.

52 heads, 48 tails

Expected
Unexpected

85 heads, 15 tails

Expected
Unexpected

47 heads, 53 tails

Expected
Unexpected

70 heads, 30 tails

Expected
Unexpected
8

More Expected vs Unexpected

Die rolled 60 times (expected 10 per number).

11 threes

Expected
Unexpected

2 fives

Expected
Unexpected

9 ones

Expected
Unexpected

25 sixes

Expected
Unexpected
9

Spinner Analysis

4 equal sections, 100 spins: A=28, B=22, C=26, D=24.

Expected per section: ___

Above expected: ___

Spinner likely fair? ___

10

Comparing Trial Sizes

Think about how trial count affects results.

10 flips, 7 heads. Coin unfair? ___

1,000 flips, 700 heads. Coin unfair? ___

Why is the second more convincing? ___

11

Investigate the Results

3 equal sections (R, B, G), 90 spins: R=35, B=25, G=30.

Expected per colour: ___

Most observed? Significantly more? ___

Spinner unfair? What would help decide? ___

With 900 spins, closer to expected? Explain: ___

12

Law of Large Numbers

Explain in your own words.

What happens to observed frequencies with more trials? ___

Why is this useful? Give an example: ___

Why does a casino rely on this law? ___

13

Design an Investigation

Design an experiment to test if a coin is fair.

How many flips? ___

Results that suggest fair: ___

Results that suggest unfair: ___

How to display results: ___

14

Home Activity: Frequency Investigator

Test whether your results match expected!

  • 1Flip a coin 50 times. Compare to expected 25 heads.
  • 2Roll a die 36 times. Each number about 6 times?
  • 3Try with 100 rolls. Closer to expected?
  • 4Discuss: why do more trials give closer results?
  • 5Create a table: expected vs observed for your experiment.
15

Match the Vocabulary

Match each term to its definition.

Expected frequency
Observed frequency
Relative frequency
Law of large numbers
What actually happened
Ratio of observed to total trials
More trials = closer to theory
What probability predicts
16

Calculate Expected and Observed

A spinner has 4 equal sections: red, blue, green, yellow. Spun 100 times.

Expected frequency of red = ___

Observed red: 28. Difference from expected = ___

Observed blue: 22. Relative frequency = ___

Which colour had results closest to expected? ___

17

Die Roll Frequency Chart

Expected: each face appears about 17 times in 100 rolls. Record the observed results.

ItemTallyTotal
Face 1
Face 2
Face 3
Face 4
Face 5
Face 6
18

Analyse the Die Roll Results

Use the tally chart above to answer these questions.

Which face appeared most? ___

Biggest difference between observed and expected: ___

Does this mean the die is unfair? ___

What would happen if you rolled 1,000 times? ___

19

Interpret the Gap

Circle the best interpretation.

Expected 50 heads, got 44 in 100 flips:

Normal variation
Coin is biased
Must redo experiment

Expected 17 sixes, got 17 in 100 rolls:

Perfect match
Proves die is fair forever
Suspicious result

As trials increase, observed frequency:

Gets closer to expected
Gets further away
Stays the same

A large difference in a small experiment means:

Likely just chance
Definite bias
Wrong formula used
20

Observed vs Expected Comparison

Graph shows observed coin flips per experiment. Each star = 10 flips. Expected heads = 50%. Answer the questions.

Trial 1 (100)
Trial 2 (100)
Trial 3 (200)
Trial 4 (500)
Trial 5 (1000)
1

Which trial got exactly 50% heads?

2

Which varied most from 50%?

3

What trend appears as trials increase?

21

Relative Frequency Table

Complete this table: a die rolled 60 times.

Expected frequency of each face = ___

Expected relative frequency = ___

Face 3 appeared 12 times. Relative frequency = ___

Difference between observed and expected relative frequency for face 3 = ___

22

Sort by Reliability

Sort each experiment by how reliable its results are.

1,000 coin flips
10 coin flips
500 die rolls
5 die rolls
200 spinner trials
20 spinner trials
More reliable
Less reliable
23

Coin Experiment Design

Design and record a coin experiment.

Number of flips: ___

Expected heads: ___

Observed heads: ___

Observed relative frequency: ___

How does this compare to P = 0.5? ___

24

Order of Analysis Steps

Put the steps in order for comparing observed to expected frequency.

?
Calculate the difference
?
Run the experiment and record outcomes
?
Calculate expected frequency using probability
?
Draw conclusions about fairness
?
Express the observed result as a relative frequency
25

Spinner Fairness Test

A spinner has 3 sections: A, B, C. Spun 90 times: A=35, B=28, C=27.

Expected frequency of each = ___

Biggest difference = ___

Do you think the spinner is fair? ___

How many more spins would help you decide? ___

26

Frequency Totals

The observed frequencies must add to the total trials. Find the missing value.

60
22
?
100
?
63
200
87
?
120
?
74
27

Biased or Fair?

For each experiment, say whether the die/coin/spinner is likely biased.

Die rolled 600 times: face 6 appeared 180 times. Expected: 100. Biased? ___

Coin flipped 200 times: 102 heads. Biased? ___

Spinner 3 sections, 150 spins: A=80, B=40, C=30. Biased? ___

28

Medical Statistics Application

A new drug is tested on 1,000 people. 200 recover (expected: 150 without drug).

Expected frequency with no drug = ___

Observed frequency with drug = ___

Does the drug appear to help? ___

Why is a large sample important in medical research? ___

29

Match Frequency Formulas

Match each term to its formula.

Expected frequency
Relative frequency
Difference
Percentage difference
Observed ÷ Total trials
P(event) × n trials
|Observed − Expected|
(Difference ÷ Expected) × 100
30

Create an Experiment Record Sheet

Design a table to record an experiment comparing observed and expected.

Column headings for your table: ___

What probability experiment would you choose? ___

How many trials and why? ___

31

Observed vs Expected Summary

Summarise everything you have learned.

Expected frequency = ___

Observed frequency = ___

Law of large numbers means: ___

A real-world example where this comparison matters: ___

One question you would like to investigate: ___