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Calculate descriptive statistics, perform hypothesis testing, regression analysis, and correlation. Professional statistical analysis tool for students, researchers, and data analysts.
Complete statistical analysis of your dataset
Mean, median, mode, std dev, quartiles, skewness & more
Z-tests, p-values, confidence intervals & effect sizes
Linear regression, R², predictions & residual analysis
Pearson, Spearman, covariance & significance tests
Descriptive statistics summarize and describe the main features of a dataset. Key measures include:
Hypothesis testing determines if there's enough evidence to reject a null hypothesis:
Linear regression models the relationship between variables:
Correlation measures the strength and direction of relationships:
A statistics calculator is a tool that performs statistical analyses including descriptive statistics (mean, median, mode, standard deviation), hypothesis testing, regression analysis, and correlation calculations to help analyze data patterns and make informed decisions.
Enter your data values separated by commas or spaces. The calculator computes mean, median, mode, standard deviation, variance, range, quartiles, skewness, and kurtosis to provide a comprehensive summary of your dataset.
Hypothesis testing determines if there's sufficient evidence to reject a null hypothesis. Enter your sample mean, population mean, standard deviation, and sample size. The calculator performs a z-test and calculates the p-value. If p-value < 0.05, the null hypothesis is typically rejected.
Enter your X values (independent variable) and Y values (dependent variable). The calculator computes the regression equation (y = mx + b), correlation coefficient (r), and R-squared value. R² indicates the proportion of variance in Y explained by X.
Pearson correlation measures linear relationships and is sensitive to outliers. Spearman correlation is rank-based, measures monotonic relationships, and is more robust to outliers. Use Pearson for linear data and Spearman for non-linear or ordinal data.