AeroLab Reading room

MATH / IGCSE

Statistics and probability

Tables, histograms, cumulative frequency and scatter diagrams summarise data. Means use all values; medians describe the middle and may resist extreme values.

Learning objectives

The big idea

Tables, histograms, cumulative frequency and scatter diagrams summarise data. Means use all values; medians describe the middle and may resist extreme values.

Probabilities lie between 0 and 1. Tree diagrams multiply conditional branch probabilities along a path and add mutually exclusive paths; independence must be justified.

Equations and relationships

P(A and B)=P(A)P(B)P(A\text{ and }B)=P(A)P(B)

Applies when A and B are independent.

Worked example

Two fair coins are tossed. Find P(two heads).

Follow the solution

The independent probabilities multiply: 1/2 × 1/2 = 1/4.

Investigate and explain

Predict the worked result before calculating. Change one input, record the new result, and explain which assumptions still hold.

Related interactive model. Compare its assumptions with the explanation; it is not a complete syllabus lesson.

Open the interactive investigation

Check your understanding

1. Which measure is most affected by one extremely large value?

  1. Median
  2. Mean
  3. Mode always
Check the answer and reasoning

Mean

The mean includes the magnitude of every observation.

2. Two fair coins are tossed. Find P(two heads).

  1. 1/2
  2. 1
  3. 1/4
Check the answer and reasoning

1/4

The independent probabilities multiply: 1/2 × 1/2 = 1/4.

3. Does correlation by itself establish causation?

  1. No
  2. Yes
  3. Only if the graph slopes upward
Check the answer and reasoning

No

A hidden variable or coincidence may explain an association; causal evidence needs a suitable design.