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Computer science · lesson 2 of 4

Visualization and summaries

How observed values are spread across possible outcomes.

University8 practice questionsNotes + worked examples

Learn the ideas

Prerequisites: Algebra and basic statistics.

Distribution

How observed values are spread across possible outcomes.

Median

The middle ordered value, or midpoint of the two middle values.

Histogram

A graph grouping numerical observations into intervals.

Encoding

A visual mapping from data values to position, size, colour or another mark property.

Worked examples

Example 1

Which term best matches this description: How observed values are spread across possible outcomes.

Distribution is the matching concept in this lesson.

Distribution

Example 2

Which term best matches this description: The middle ordered value, or midpoint of the two middle values.

Median is the matching concept in this lesson.

Median

Check your understanding

8 questions

Decimals or fractions are accepted for numeric answers. Proofs and written responses use sample answers and require human marking. This is practice, not a protected examination.

1 Which term best matches this description: How observed values are spread across possible outcomes.

Show answer and explanation

Distribution

Distribution is the matching concept in this lesson.

2 Which term best matches this description: The middle ordered value, or midpoint of the two middle values.

Show answer and explanation

Median

Median is the matching concept in this lesson.

3 Which concept would you apply first in a situation where a graph grouping numerical observations into intervals.

Show answer and explanation

Histogram

The scenario directly calls for Histogram.

4 Name the concept described as: A visual mapping from data values to position, size, colour or another mark property.

Show answer and explanation

Encoding

The intended concept is Encoding.

5 Which statement about Distribution is most accurate?

Show answer and explanation

How observed values are spread across possible outcomes.

The definition in the lesson notes gives the required condition.

6 Explain one important difference between Distribution and Median.

Sample answer and marking guidance

Distribution: How observed values are spread across possible outcomes. Median: The middle ordered value, or midpoint of the two middle values.

Credit a clear distinction using both definitions and an appropriate example if supplied.

7 Give a short example showing how Histogram would be used in practice.

Sample answer and marking guidance

A valid example should demonstrate this idea: A graph grouping numerical observations into intervals.

Credit a relevant scenario that applies the concept rather than merely naming it.

8 Summarize why Encoding matters in the lesson “Visualization and summaries”.

Sample answer and marking guidance

Encoding matters because A visual mapping from data values to position, size, colour or another mark property.

Credit the core purpose, scope and any important limitation from the notes.

Further reading and review references

These are reference links, not copied exercises, institutional endorsement or proof of independent review.