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{
    "url": "https://numbas.mathcentre.ac.uk/api/questions/12139/?format=api",
    "name": "Perform chi-squared test on 2D frequency table",
    "published": true,
    "project": "https://numbas.mathcentre.ac.uk/api/projects/601/?format=api",
    "author": {
        "url": "https://numbas.mathcentre.ac.uk/api/users/697/?format=api",
        "profile": "https://numbas.mathcentre.ac.uk/accounts/profile/697/?format=api",
        "full_name": "Newcastle University Mathematics and Statistics",
        "pk": 697,
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    "edit": "https://numbas.mathcentre.ac.uk/question/12139/perform-chi-squared-test-on-2d-frequency-table/?format=api",
    "preview": "https://numbas.mathcentre.ac.uk/question/12139/perform-chi-squared-test-on-2d-frequency-table/preview/?format=api",
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    "source": "https://numbas.mathcentre.ac.uk/question/12139/perform-chi-squared-test-on-2d-frequency-table.exam?format=api",
    "metadata": {
        "notes": "\n        \t\t<p><strong>3/01/2012:</strong></p>\n        \t\t                    <p>This is the example used in the mathssample exam and was translated from the iassess MAS1403 originally. The table is not created from the inbuilt table function. Included tag sc to indicate that this can be used for other applications.</p>\n        \t\t",
        "licence": "Creative Commons Attribution 4.0 International",
        "description": "<p>The human resources department of a large finance company is attempting to determine if an employee&rsquo;s performance is influenced by their undergraduate degree subject. Personnel ratings are used to judge performance and the task is to use expected frequencies and the chi-squared statistic to test the null hypothesis that there is no association.</p>"
    },
    "status": null,
    "resources": []
}