Master Statistics & Quantitative Management

A comprehensive, step-by-step learning resource for students and professionals. From basic concepts to advanced MBA-level decision making.

Start Learning Interactive Calculators

Core Statistics

Basics & Descriptive

Mean, Median, Mode, Variance, Standard Deviation, and Data Types.

Probability & Distributions

Rules of probability, Normal, Binomial, and Poisson distributions.

Sampling & Estimation

Sampling methods, Central Limit Theorem, and Confidence Intervals.

Hypothesis Testing

Z-test, t-test, Type I & II errors, and Power of a test.

ANOVA

Analysis of Variance for comparing means across multiple groups.

Regression Analysis

Simple & Multiple regression, Correlation, and Forecasting.

Quantitative Management (MBA)

Intro to Quant Mgmt

Overview of quantitative methods in business decision making.

Linear Programming

Maximizing profit and minimizing cost using the Simplex method.

Decision Theory

Decision making under risk and uncertainty. Maximin & Minimax.

Game Theory

Strategic decision making and competitive analysis.

Operations Research

Transportation, Assignment problems, and Inventory models (EOQ).

Project Management

PERT, CPM, and Critical Path Analysis for scheduling.