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2.2 Data Presentation and Interpretation

2.2 Data Presentation and Interpretation

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Question 1

A researcher groups incomes into classes ending with the open class “£80 000 or more” and wants to draw a histogram.

a.

Explain why the final bar cannot be drawn uniquely.

[2]
b.

Suggest two defensible remedies.

[2]
c.

Explain why silently assigning an arbitrary width may distort interpretation.

[1]
Markscheme

2.2 Data Presentation and Interpretation Questions

  1. A Level
  2. /Maths
  3. /2.2 Data Presentation and Interpretation

121 exam-style questions on OCR (MEI) A Level Maths 2.2 Data Presentation and Interpretation, covering 2.2.1 Types of data and standard diagrams, 2.2.2 Area in a histogram is proportional to frequency, 2.2.3 Cumulative frequency diagram, 2.2.4 Describe frequency distributions, 2.2.5 Samples and theoretical distributions, 2.2.6 Interpret a scatter diagram, 2.2.7 Distinct sections and outliers in scatter diagrams, 2.2.8 Correlation and causation, 2.2.9 Select or critique data presentation techniques, 2.2.10 Measures of central tendency, 2.2.11 Simple measures of spread, 2.2.12 Variance and standard deviation, 2.2.13 Outliers, 2.2.14 Cleaning data, and 2.2 Data Presentation and Interpretation. Each one has a worked solution and a mark scheme showing where the marks go.

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