// Numbas version: finer_feedback_settings {"name": "Assessment version Confidence Interval Doctor's Surgery", "extensions": ["stats"], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"preamble": {"js": "", "css": ""}, "name": "Assessment version Confidence Interval Doctor's Surgery", "tags": [], "metadata": {"description": "

Compute a 95% confidence interval for the population mean given a small sample, and compare it with a confidence interval for a different population.

", "licence": "Creative Commons Attribution 4.0 International"}, "advice": "

a)

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The mean of the sample of patients visiting on Mondays is 

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\\[ \\bar{x} = \\frac{1}{n}(\\sum x_i) = \\var{precround(monday_mean,2)} \\text{ (to 2 d.p.)} \\]

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The standard deviation is

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\\[ s = \\sqrt{\\frac{1}{n-1}\\sum \\left(x_i-\\bar{x}\\right)^2} = \\var{precround(monday_sd,2)} \\text{ (to 2 d.p.)} \\]

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b)

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The sample mean $\\mu_m$ follows a $t$-distribution with $n-1 = \\var{num_monday-1}$ degrees of freedom centred on the population mean, with a standard error of $\\frac{s}{\\sqrt{n}} = \\simplify{{precround(monday_sd,2)}/sqrt({num_monday})} = \\var{precround(monday_se,2)}$.

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That means that the 95% confidence interval for the population mean is as follows:

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\\begin{array}{lrcl}
&\\left[ \\bar{x} - s \\times t_{\\var{num_monday-1},0.975} \\right. \\kern{-0.5em}&,&\\kern{-0.5em} \\left. \\bar{x} + s \\times t_{\\var{num_monday-1},0.975} \\right] \\\\
= & \\left[ \\simplify[]{{precround(monday_mean,2)} - {precround(monday_se,2)}*{precround(monday_t,2)}} \\right. \\kern{-0.5em}&,&\\kern{-0.5em} \\left. \\simplify[]{{precround(monday_mean,2)} + {precround(monday_se,2)}*{precround(monday_t,2)}} \\right] \\\\
= & \\left[ \\var{precround(monday_low,2)} \\right. \\kern{-0.5em}&,&\\kern{-0.5em} \\left. \\var{precround(monday_high,2)} \\right]
\\end{array}

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Lower end of the confidence interval for Monday's mean

", "name": "monday_low", "group": "Ungrouped variables", "templateType": "anything", "definition": "monday_mean-monday_t*monday_se"}, "friday_se": {"description": "", "name": "friday_se", "group": "Ungrouped variables", "templateType": "anything", "definition": "stdev(fri,true)/sqrt(num_friday)"}, "no_overlap": {"description": "", "name": "no_overlap", "group": "Ungrouped variables", "templateType": "anything", "definition": "friday_low > monday_high or friday_high < monday_low"}, "t": {"description": "", "name": "t", "group": "Ungrouped variables", "templateType": "anything", "definition": "studenttinv(0.975,11)"}, "friday_high": {"description": "", "name": "friday_high", "group": "Ungrouped variables", "templateType": "anything", "definition": "friday_mean+friday_t*friday_se"}, "fri": {"description": "

Data for Friday

", "name": "fri", "group": "Ungrouped variables", "templateType": "anything", "definition": "repeat(friday_pop_mean+random(-friday_pop_range..friday_pop_range),num_monday)"}, "mon": {"description": "

Data for Monday

", "name": "mon", "group": "Ungrouped variables", "templateType": "anything", "definition": "repeat(monday_pop_mean+random(-monday_pop_range..monday_pop_range),num_monday)"}, "monday_sd": {"description": "", "name": "monday_sd", "group": "Ungrouped variables", "templateType": "anything", "definition": "stdev(mon,true)"}, "friday_low": {"description": "", "name": "friday_low", "group": "Ungrouped variables", "templateType": "anything", "definition": "friday_mean-friday_t*friday_se"}, "monday_mean": {"description": "", "name": "monday_mean", "group": "Ungrouped variables", "templateType": "anything", "definition": "mean(mon)"}, "num_friday": {"description": "", "name": "num_friday", "group": "Ungrouped variables", "templateType": "anything", "definition": "random(12..16)"}, "friday_t": {"description": "", "name": "friday_t", "group": "Ungrouped variables", "templateType": "anything", "definition": "studenttinv(0.975,num_friday-1)"}, "friday_pop_range": {"description": "", "name": "friday_pop_range", "group": "Ungrouped variables", "templateType": "anything", "definition": "20"}, "monday_pop_range": {"description": "", "name": "monday_pop_range", "group": "Ungrouped variables", "templateType": "anything", "definition": "20"}, "friday_mean": {"description": "", "name": "friday_mean", "group": "Ungrouped variables", "templateType": "anything", "definition": "mean(fri)"}, "monday_high": {"description": "", "name": "monday_high", "group": "Ungrouped variables", "templateType": "anything", "definition": "monday_mean+monday_t*monday_se"}, "friday_pop_mean": {"description": "", "name": "friday_pop_mean", "group": "Ungrouped variables", "templateType": "anything", "definition": "random(20..70)"}, "monday_t": {"description": "", "name": "monday_t", "group": "Ungrouped variables", "templateType": "anything", "definition": "studenttinv(0.975,num_monday-1)"}, "monday_se": {"description": "", "name": "monday_se", "group": "Ungrouped variables", "templateType": "anything", "definition": "monday_sd/sqrt(num_monday)"}, "num_monday": {"description": "", "name": "num_monday", "group": "Ungrouped variables", "templateType": "anything", "definition": "12"}}, "rulesets": {}, "parts": [{"unitTests": [], "showCorrectAnswer": true, "scripts": {}, "type": "gapfill", "showFeedbackIcon": true, "sortAnswers": false, "variableReplacements": [], "prompt": "

Calculate the mean and standard deviation of the sample of patients visiting on Mondays.

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Enter your answers to 2 decimal places.

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Mean: [[0]]

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Standard Deviation: [[1]]

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Find the 95% confidence interval for the population mean $\\mu_m$ of the age of patients visiting on Monday.

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Enter your answers to 2 decimal places.

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Lower limit: [[0]]

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Upper limit: [[1]] 

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The ages of a random sample of patients coming into a doctor's surgery during the school holidays are noted down on each Monday and Friday thoughout August.

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{table([['Monday']+mon,['Friday']+fri],[])}

", "extensions": ["stats"], "variable_groups": [], "type": "question", "contributors": [{"name": "Christian Lawson-Perfect", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/7/"}, {"name": "Catherine Palmer", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/423/"}, {"name": "Hayley Moore", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/495/"}]}]}], "contributors": [{"name": "Christian Lawson-Perfect", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/7/"}, {"name": "Catherine Palmer", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/423/"}, {"name": "Hayley Moore", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/495/"}]}