CLT Sample

A learning component illustrating the Central Limit Theorem (CLT) when sampling from a supplied data set.

Options

• data | object (required): data object with keys correspond to variable names and values holding the values of respective variables. Default: none.
• hidePopulationStdev | boolean: hide display of population standard deviation. Default: false.
• samples | (array<number>|number): array of numbers or a single numbers denoting the sample sizes that can be drawn. Default: 25.
• populationProbabilities | boolean: whether to display equations for calculation of population probabilities. Default: false.
• quantiles | boolean: whether to show tool for calculation of any quantiles. Default: false.
• variables | array (required): names of variables that can be sampled from. Default: none.

Examples

Live Editor

<LearnSampleCLT data={heartdisease} variables={[ 'Gender', 'Drugs', 'Complications', 'Cost', 'Age', 'Interventions', 'ERVisit', 'Comorbidities', 'Duration' ]} />

<LearnSampleCLT 
    data={heartdisease} 
    variables={[ 'Gender', 'Drugs', 'Complications', 'Cost', 'Age', 'Interventions', 'ERVisit', 'Comorbidities', 'Duration' ]}
/>

Result

ReferenceError: Provider is not defined