// Numbas version: exam_results_page_options {"name": "Confidence intervals - fill in the gaps", "extensions": [], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"name": "Confidence intervals - fill in the gaps", "tags": [], "metadata": {"description": "

Assessment of basic knowledge of confidence intervals; no randomisation.

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Fill in the gaps in the following sentences regarding confidence intervals.

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Revise confidence intervals, e.g., Sections 5.2 and 7.1 of OpenIntro Statistics (4th edition).

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a) A CI aims at providing a \"guess\" (in the form of an interval) for a population (note that we don't need to guess a sample mean, we know exactly what it is, whereas we normally don't know a population mean, and that's why we need to guess).

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b) A CI for the population mean ($\\mu$) is built around the best available estimate for $\\mu$, which is the sample mean.

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c) The most common/conventional CI is the $95\\%$ CI (which also corresponds to the most common significance level $\\alpha=5\\%$).

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d) As a CI is defined as either $\\pm z^*\\times SE$ or $\\pm t^*\\times SE$, the larger SE the larger the CI.

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e) Considering d) above, and noting that $SE$ is defined as either $\\sqrt{\\frac{p(1-p)}{n}}$ (for a proportion) or $\\frac{SD}{\\sqrt{n}}$ (for numerical data), a larger sample size $n$ will result in a smaller CI.

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A confidence interval represents a range of values within which we are likely (but not certain) to find a [[0]]parameter.

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Hint: input one of \"categorical\", \"population\", \"sample\".

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A confidence interval for $\\mu$ is always centered around the sample [[0]].

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Hint: input the name (not the symbol) of a common statistical quantity (a point estimate).

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The most common confidence level is [[0]]%.

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Hint: input an integer (a whole number).

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All else being equal, a larger standard error results in a confidence interval that is [[0]].

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Hint: input one of \"larger\", \"smaller\" or \"unchanged\".

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All else being equal, a larger sample size results in a confidence interval that is [[0]].

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Hint: input one of \"larger\", \"smaller\" or \"unchanged\".

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