// Numbas version: exam_results_page_options {"name": "Find z-score for sample and calculate confidence interval with SE formula given", "extensions": [], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"functions": {}, "ungrouped_variables": ["zscore", "lowerbound", "bottom", "this", "top", "upperbound", "samplemean", "these", "sstdev", "score", "samplesize", "expb", "expt"], "name": "Find z-score for sample and calculate confidence interval with SE formula given", "tags": ["BES220"], "preamble": {"css": "", "js": ""}, "advice": "

a)

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The $z$-score is given by 

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\\[z=\\frac{\\var{score}-\\var{samplemean}}{\\var{sstdev}}=\\var{zscore}\\]

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(To 3 decimal places).

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Why do we use $sd$ and not $SE$? Because the question asks how many standard deviations the score of {score} is away from the mean. We use $SE$ when we are dealing with confidence intervals and hypothesis tests.

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b)

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The lower bound for the 95% confidence interval is given by:

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Lower bound = $\\displaystyle \\var{samplemean}-1.96 \\times \\frac{ \\var{sstdev}}{\\sqrt{\\var{samplesize}}}=\\var{lowerbound}$

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Upper bound = $\\displaystyle \\var{samplemean}+1.96 \\times \\frac{ \\var{sstdev}}{\\sqrt{\\var{samplesize}}}=\\var{upperbound}$

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(Both to 3 decimal places.)

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Hence for the population mean $\\mu$  we can say that $\\var{lowerbound} \\le\\mu \\le \\var{upperbound}$ with $95$% confidence.

", "rulesets": {}, "parts": [{"prompt": "

What is the $z$-score for a score of $\\var{score}$? Hint: use the sample $sd$ and $\\bar{x}$.

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Enter your answer to 3 decimal places.

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Calculate the $95$% confidence interval for the population mean $\\mu$:

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Lower bound: [[0]]

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Upper bound: [[1]]

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Enter your answers to 3 decimal places.

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A recent survey asked $\\var{samplesize}$ {these} to rate {this} on a scale from $\\var{bottom}$ ({expb}) to $\\var{top}$ ({expt}).

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The mean rating, $\\bar{x}$, was $\\var{samplemean}$ with a standard deviation, $sd$ of $\\var{sstdev}$.

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The following formula can be used to calculate the Standard Error for the sample:

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$SE = \\dfrac{sd}{\\sqrt{n}}$,

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Enter all values to 3 decimal places.

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Given mean and sd of 1000 sample returns on a scale of 1 to 7 together with a given score, find the z-score.

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Also find the 95% confidence interval for the population mean.

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