Statistical Methods in Data Analysis
Statistical methods are essential for analyzing and interpreting data. These methods help identify patterns, correlations, and anomalies within datasets.
Descriptive Statistics
- Measures of Central Tendency: Mean, median, and mode summarize dataset distributions.
- Measures of Dispersion: Standard deviation, variance, and range describe data spread.
- Frequency Distributions: Histograms and probability distributions help visualize data distributions.
Inferential Statistics
- Hypothesis Testing: Determines if a dataset supports a given assumption.
- Confidence Intervals: Estimates the range in which a population parameter lies.
- Regression Analysis: Models relationships between dependent and independent variables.