AQA · A-Level · Psychology

    Course version: 7182-2025 · Exams from 2027

    Translate information between graphical, numerical and algebraic forms (to…

    Full specification wording

    Graphs: Translate information between graphical, numerical and algebraic forms (to include: using a set of numerical data (a set of scores) from a record sheet to construct a bar graph)

    Candidates must translate information between graphical, numerical and algebraic forms.

    Checked against the AQA 7182-2025 specification (opens in a new tab) on .

    • Point 1 of 2
    • 3 key terms

    Study notes

    From the checked teaching notes for this specification point.

    The idea

    Candidates must translate information between graphical, numerical and algebraic forms. This includes using a set of numerical data (a set of scores) from a record sheet to construct a bar graph. Scores can be grouped into categories and counted in a frequency table, drawn as a bar graph, expressed algebraically using symbols such as $<$ and $>$, or substituted into formulas such as Spearman's rho. For a bar graph, categories sit on the horizontal axis, frequency on the vertical axis, bars are of equal width and stand apart for discrete data, axes carry labels, and the vertical scale starts at zero. Translating back involves reading a chart to find a numerical total, calculating a percentage, or expressing a relationship algebraically.

    What earns the marks

    • Summarising numerical forms: counting the observations in each category and checking that the category frequencies sum to the total number of observations ($N$).
    • Translating into algebraic forms: substituting numerical data into algebraic formulas (like Spearman's rho) or using inequality symbols to express findings (e.g., Condition A $>$ Condition B).
    • Justifying the bar graph over a histogram: data fall into separate, discrete categories rather than a continuous scale, so bars must not touch.
    • Translating graphical forms back into numerical/algebraic forms: stating the frequency a bar represents or calculating the difference between bars.

    Common mistakes and how to put them right

    • Drawing bars touching, which turns the display into a histogram, losing presentation marks for discrete categorical data.

      Put it right: Leave equal gaps between bars for discrete data.

    • Starting the vertical axis part way up the scale, inflating the visual difference between conditions.

      Put it right: Start the vertical frequency axis at zero.

    • Failing to translate numerical data into algebraic forms when required, such as forgetting to use standard symbols ($<$, $>$) or formula notation.

      Put it right: Use standard mathematical symbols rather than just words when asked for algebraic forms.

    Exam tips

    • When using a set of numerical data (a set of scores) from a record sheet to construct a bar graph, use a ruler, label both axes with the variable and unit, and leave equal gaps.
    • If asked to translate a relationship algebraically, use standard mathematical symbols rather than just words.
    • Where a record sheet gives frequencies, you may need to translate this numerical data into an algebraic formula for a statistical test, such as calculating $r_s$ for Spearman's rho.

    Try the lesson

    The start of the Graphs: Translate information between graphical, numerical and algebraic forms (to include: using a set of numerical data (a set of scores) from a record sheet to construct a bar graph) lesson, made from checked teaching notes for this specification point.

    Have a go first

    A psychologist has a record sheet showing the number of participants who selected each of four different colours as their favourite. Which of the following is the most appropriate way to construct a bar graph from this numerical data?

    Listen

    Candidates must translate information between graphical, numerical and algebraic forms. This includes using a set of numerical data (a set of scores) from a record sheet to construct a bar graph. Scores can be grouped into categories and counted in a frequency table, drawn as a bar graph, expressed algebraically using symbols such as , or substituted into formulas such as Spearman's rho. For a bar graph, categories sit on the horizontal axis, frequency on the vertical axis, bars are of equal width and stand apart for discrete data, axes carry labels, and the vertical scale starts at zero. Translating back involves reading a chart to find a numerical total, calculating a percentage, or expressing a relationship algebraically. A strong answer earns marks for these points. Translating numerical data (a set of scores) from a record sheet to construct a bar graph: categories on the horizontal axis, frequency on the vertical axis, equal width bars with clear gaps, labelled scales, and a title. Summarising numerical forms: counting the observations in each category and checking that the category frequencies sum to the total number of observations (N). Translating into algebraic forms: substituting numerical data into algebraic formulas (like Spearman's rho) or using inequality symbols to express findings (e.g., Condition A > Condition B). Justifying the bar graph over a histogram: data fall into separate, discrete categories rather than a continuous scale, so bars must not touch. A common slip: Drawing bars touching, which turns the display into a histogram, losing presentation marks for discrete categorical data. Instead, Leave equal gaps between bars for discrete data. Exam tip: When using a set of numerical data (a set of scores) from a record sheet to construct a bar graph, use a ruler, label both axes with the variable and unit, and leave equal gaps.

    Key words

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    translating data forms

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    graphical to numerical

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    discrete data

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    See every definition
    translating data forms
    Moving information between graphical, numerical and algebraic forms, such as reading a chart to find a numerical total or expressing a relationship algebraically.
    graphical to numerical
    Reading a chart to find a numerical total, stating the frequency a bar represents or calculating the difference between bars.
    discrete data
    Data that fall into separate, discrete categories rather than a continuous scale, so bars must not touch.

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