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"url": "https://numbas.mathcentre.ac.uk/api/questions/11887/?format=api",
"name": "Find maximum likelihood estimator of mean of normal distribution",
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"author": {
"url": "https://numbas.mathcentre.ac.uk/api/users/697/?format=api",
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"full_name": "Newcastle University Mathematics and Statistics",
"pk": 697,
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"edit": "https://numbas.mathcentre.ac.uk/question/11887/find-maximum-likelihood-estimator-of-mean-of-norma/?format=api",
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"source": "https://numbas.mathcentre.ac.uk/question/11887/find-maximum-likelihood-estimator-of-mean-of-norma.exam?format=api",
"metadata": {
"notes": "<p><strong>14/07/2012:</strong></p>\n <p>Added tags.</p>\n <p>New tolerance variable t=0 for the numeric inputs.</p>\n <p>Checked calculations.</p>\n <p><strong>1/08/2012:</strong></p>\n <p>Added tags.</p>\n <p>Question appears to be working correctly.</p>\n <p><strong>21/12/2012:</strong></p>\n <p><strong><br /></strong>Checked calculations for all functions appearing in this exercise. Added tested1 tag.</p>\n <p>Rounding OK, added cr1 tag.</p>\n <p>In order to calculate the MLE for $\\phi$ need to use a more accurate value than that found for $\\mu$ to 2 decimal places. This is stated in the question now.</p>\n <p>There is no need to have the variance given. Added query tag for that. </p>\n <p>Also query the accuracy needed for the estimator of $\\mu$.</p>",
"licence": "Creative Commons Attribution 4.0 International",
"description": "<p>Given sum of sample from a Normal distribution with unknown mean $\\mu$ and known variance $\\sigma^2$. Find MLE of $\\mu$ and one of four functions of $\\mu$.</p>"
},
"status": "ok",
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}