Undergraduate Certificate in Precision Business Statistics

• Descriptive Business Statistics: Introduction to statistical concepts, data collection methods, and data analysis techniques.
• Probability Theory: Foundational principles of probability, including conditional probability, Bayes' theorem, and probability distributions.
• Inferential Statistics: Hypothesis testing, confidence intervals, and statistical inference using sample data.
• Regression Analysis: Simple and multiple linear regression, model selection, and diagnostics.
• Experimental Design: Design of experiments, randomization, replication, and blocking for causal inference.
• Statistical Quality Control: Control charts, process capability, and acceptance sampling.
• Time Series Analysis: Autoregressive, moving average, and ARIMA models for time series forecasting.
• Multivariate Analysis: Principal component analysis, factor analysis, and discriminant analysis.
• Data Visualization: Exploratory data analysis and visualization techniques using statistical graphics.