Kalkulator Statistika Deskriptif
Masukkan dataset dan dapatkan analisis statistik lengkap dengan visualisasi histogram dan box plot.
๐ Ready to Analyze
Enter your dataset and click "Analyze Data"
๐ Descriptive Statistics
Understanding Statistical Measures
Descriptive statistics summarize and describe the main features of a dataset. They answer the question: "What does this data look like?"
- Mean (ฮผ) โ The arithmetic average. Sensitive to outliers.
- Median โ The middle value. Robust to outliers.
- Mode โ The most frequent value.
- Range โ Max โ Min. Shows the total spread.
- Variance (ฯยฒ) โ Average of squared deviations from the mean.
- Standard Deviation (ฯ) โ Square root of variance. In same units as data.
- Quartiles Q1, Q3 โ Split data into 25th and 75th percentiles.
- Skewness โ Asymmetry of the distribution (positive = right tail).
โ FAQ
Frequently Asked Questions
Population variance divides by N; sample variance divides by
N-1 (Bessel's correction). Use sample variance when your
data is a sample from a larger population.
Positive skewness means the tail extends to the right (most
data clustered left). Negative means the opposite. A
skewness near 0 indicates a roughly symmetric distribution.