Analyze distributions, central tendencies, variations in data through measures like mean, median, variance.
02
Inferential Statistics
Statistical tests validate hypotheses, quantify certainty and measure significance of relationships based on samples.
03
Regression Analysis
Quantitative techniques model relationships between variables to enable predictions and forecasting.
04
ANOVA
Compares differences between group means to determine statistical significance of explanatory variables.
Case study 1
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Go to Use Case Title
What Are the Advantages You Should Expect?
Evidence-Based Insights
Data-driven decisions through rigorous validation of trends and causal effects.
Process Optimization
A/B testing and experimentation quantify impact of initiatives.
Risk Assessment
Understand probability and uncertainty through confidence intervals.
Forecasting
Reliable predictions through modeling time-dependent and seasonal patterns.