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Statistical Data Processing
Statistical Data Processing
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The course Statistical Data Processing focuses on organizing, visualizing, and describing data after collection.
It teaches tabular standardization following IBGE guidelines, the construction of frequency distributions (absolute, relative, and cumulative), and clear and ethical graphical representation:
- Histograms
- Line, column, and bar charts
- Pie charts
The analyses include:
- Measures of central tendency — mean, median, and mode
- Measures of dispersion — variance, standard deviation, and coefficient of variation, allowing assessment of sample heterogeneity and stability
Quantiles such as quartiles and percentiles complement interpretation, making it easier to identify relative positions and possible statistical anomalies.
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