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Clinical Psychology

Descriptive statistics, levels of measurement and significance

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Overview

Recall questions on descriptive and inferential statistics, measures of central tendency and dispersion, nominal, ordinal and interval or ratio data, comparing observed with critical values for each test, and how data type, design and hypothesis direction guide test choice.

What you need to know

Answer each one before you reveal it.

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Key term

Why can ordinal data be ranked but not subjected to meaningful arithmetic?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What are measures of central tendency used for in descriptive statistics?

    Model answer

    To summarise a data set by identifying a central or typical value (e.g., mean, median, mode).

  2. 2

    What do measures of dispersion describe in quantitative data analysis?

    Model answer

    The spread or variability of data around the central value (e.g., range, standard deviation).

  3. 3

    Name one type of graphical representation used in descriptive statistics.

    Model answer

    Bar charts, histograms, or scatter graphs.

  4. 4

    What type of statistics summarises data using measures of central tendency and dispersion?

    Model answer

    Descriptive statistics

  5. 5

    What type of statistics allows researchers to determine whether results are likely due to chance or reflect a real effect in the population?

    Model answer

    Inferential statistics

  6. 6

    Define nominal level of measurement.

    Model answer

    Categorical data where values are placed into named categories with no inherent order

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