Interpretation:
The Mean is the average value of your dataset.
The Variance (${variance.toFixed(4)}) measures the average squared difference of each data point from the mean. It's in 'squared units' of your data.
The Standard Deviation (${stdDev.toFixed(4)}) is the square root of the variance. It indicates the typical or average amount by which individual data points deviate from the mean. A smaller standard deviation suggests data points are clustered closely around the mean, while a larger value indicates they are more spread out.
`;
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document.getElementById('pdfCalcType').textContent = `Calculation Type: ${calcType.charAt(0).toUpperCase() + calcType.slice(1)}`;
document.getElementById('pdfNumObservations').textContent = `Number of Observations (N): ${n}`;
document.getElementById('pdfMean').textContent = `Mean (Average): ${mean.toFixed(4)}`;
document.getElementById('pdfSumSq').textContent = `Sum of Squared Differences: ${sumOfSquares.toFixed(4)}`;
document.getElementById('pdfVariance').textContent = `Variance (${calcType === "sample" ? "s²" : "σ²"}): ${variance.toFixed(4)}`;
document.getElementById('pdfStdDev').textContent = `Standard Deviation (${calcType === "sample" ? "s" : "σ"}): ${stdDev.toFixed(4)}`;
document.getElementById('pdfInterpretation').innerHTML = `
The
(${variance.toFixed(4)}) shows the data spread in squared units.
The
(${stdDev.toFixed(4)}) indicates the typical deviation from the mean.
`;
});
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pdfDownloadBtn.style.display = 'none';
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console.error("Error generating PDF:", err);
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