// Numbas version: finer_feedback_settings {"name": "Catherine's copy of Z-test on sample proportion", "extensions": ["stats"], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"name": "Catherine's copy of Z-test on sample proportion", "tags": [], "metadata": {"description": "", "licence": "Creative Commons Attribution-NonCommercial 4.0 International"}, "statement": "
A recent poll of \\(\\var{n1}\\) people indicated that \\(\\var{prop1}\\) of them had delayed seeking healthcare treatment due to the associated cost.
\nIt has long been believed that \\(\\var{percentage}\\)% of people will delay seeking healthcare treatment due to the associated cost.
\nDoes the data support this theory? You may assume a significance level of 5%.
\n", "advice": "\n\\(H_0:\\) p =\\(\\simplify{{percentage}/100}\\).
\n\\(H_1:\\) p \\(\\ne \\simplify{{percentage}/100}\\).
\nGiven a sample of size \\(n\\) recall:
\nthe formula for the sample proportion: \\(\\hat{p}=\\frac{{x}}{n}\\) where \\(n\\) is the number of observations
\n\\(\\hat{p}=\\frac{\\var{prop1}}{\\var{n1}}=\\var{p}\\)
\nthe formula for the Z-statistic: \\(Z=\\frac{\\hat{p}-p}{\\sqrt{\\frac{p(1-p)}{n}}}\\)
\n\\(Z=\\frac{\\var{p}-\\var{pop_p}}{\\sqrt{\\frac{\\var{pop_p}(1-\\var{pop_p})}{\\var{n1}}}}\\)
\n\\(Z=\\frac{\\simplify{{p}-{pop_p}}}{\\sqrt{\\simplify{{pop_p}*(1-{pop_p})/{n1}}}}=\\var{test_statistic}\\)
\nFor a significance level of 5%:
\n$z_{{\\frac{\\alpha}{2}}}=1.96$
\n\n
d)
{Correctc}
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", "templateType": "anything", "can_override": false}, "n1": {"name": "n1", "group": "Ungrouped variables", "definition": "random(360 .. 450#10)", "description": "", "templateType": "randrange", "can_override": false}, "test_statistic": {"name": "test_statistic", "group": "Ungrouped variables", "definition": "(p-percentage/100)/sqrt((percentage*(100-percentage)/10000)/n1)", "description": "", "templateType": "anything", "can_override": false}, "Z99": {"name": "Z99", "group": "Ungrouped variables", "definition": "2.58", "description": "", "templateType": "number", "can_override": false}}, "variablesTest": {"condition": "", "maxRuns": 100}, "ungrouped_variables": ["Z95", "scenario", "Z99", "test_statistic", "Z90", "n1", "p", "prop1", "percentage", "pop_p", "mm", "Correctc", "Falsec"], "variable_groups": [], "functions": {}, "preamble": {"js": "", "css": ""}, "parts": [{"type": "gapfill", "useCustomName": false, "customName": "", "marks": 0, "scripts": {}, "customMarkingAlgorithm": "", "extendBaseMarkingAlgorithm": true, "unitTests": [], "showCorrectAnswer": true, "showFeedbackIcon": true, "variableReplacements": [], "variableReplacementStrategy": "originalfirst", "nextParts": [], "suggestGoingBack": false, "adaptiveMarkingPenalty": 0, "exploreObjective": null, "prompt": "Step 1: Null Hypothesis
\n$\\operatorname{H}_0\\;: \\; p=\\;$ [[0]]
\nStep 2: Alternative Hypothesis
\n$\\operatorname{H}_1\\;: \\; p \\neq\\;$ [[1]]
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\nEnter the value for the appropriate test statistic: = [[0]]
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", "gaps": [{"type": "numberentry", "useCustomName": false, "customName": "", "marks": 1, "scripts": {}, "customMarkingAlgorithm": "", "extendBaseMarkingAlgorithm": true, "unitTests": [], "showCorrectAnswer": true, "showFeedbackIcon": true, "variableReplacements": [], "variableReplacementStrategy": "originalfirst", "nextParts": [], "suggestGoingBack": false, "adaptiveMarkingPenalty": 0, "exploreObjective": null, "minValue": "1.96", "maxValue": "1.96", "correctAnswerFraction": false, "allowFractions": false, "mustBeReduced": false, "mustBeReducedPC": 0, "showFractionHint": true, "notationStyles": ["plain", "en", "si-en"], "correctAnswerStyle": "plain"}], "sortAnswers": false}, {"type": "gapfill", "useCustomName": false, "customName": "", "marks": 0, "scripts": {}, "customMarkingAlgorithm": "", "extendBaseMarkingAlgorithm": true, "unitTests": [], "showCorrectAnswer": true, "showFeedbackIcon": true, "variableReplacements": [], "variableReplacementStrategy": "originalfirst", "nextParts": [], "suggestGoingBack": false, "adaptiveMarkingPenalty": 0, "exploreObjective": null, "prompt": "Step 5:
\nYour Decision: [[0]]
\n\n\n
\n
Conclusion: [[1]]
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