📊 Module 2: Descriptive Statistics Playground

Master Data Analysis Fundamentals with Pharmaceutical Applications

🎯 Learning Objectives

  • Create and interpret frequency distributions
  • Calculate central tendency measures
  • Analyze data dispersion and variability
  • Detect and handle outliers appropriately
  • Apply USP compliance criteria
  • Transform non-normal data

⏱️ Module Timeline

  • Total Duration: 4 hours
  • Theory + Practice: 3.25 hours
  • Mini-Project: 45 minutes
  • Recommended: 2 sessions
  • Prerequisites: Module 1 complete

🔧 Tools & Software

  • Excel with Analysis ToolPak
  • Interactive web calculators
  • Pharmaceutical datasets
  • USP reference materials
  • Step-by-step tutorials

Part 1: Frequency Distribution Workshop

30 minutes

Learn to transform raw pharmaceutical data into meaningful frequency tables and visualizations. Master histogram creation with tablet weight variation examples.

  • Interactive frequency table builder
  • Histogram generator with normal overlay
  • Excel FREQUENCY function tutorial
  • USP weight variation applications
Start Part 1

Part 2: Distribution Analysis Center

45 minutes

Explore normal and non-normal distributions with pharmaceutical context. Use Z-scores and Q-Q plots for distribution assessment.

  • Normal distribution explorer with sliders
  • Z-score calculator for drug concentrations
  • Non-normal distribution gallery
  • Q-Q plot generator for normality testing
Start Part 2

Part 3: Statistical Calculator Suite

45 minutes

Master central tendency and dispersion calculations with step-by-step reasoning. Learn Excel implementations for pharmaceutical quality control.

  • Mean, median, mode calculators
  • Standard deviation and CV% analyzers
  • Step-by-step calculation walkthroughs
  • Excel function integration
Start Part 3

Part 4: Outlier Detection Lab

30 minutes

Identify and handle outliers using multiple statistical methods. Apply pharmaceutical industry standards for data quality assessment.

  • 3-sigma rule with pharma examples
  • IQR method with box plots
  • Grubbs' test implementation
  • Interactive outlier visualization
Start Part 4

Part 5: Data Transformation Workshop

30 minutes

Transform non-normal data using logarithmic and other methods. Learn when and how to apply transformations in pharmaceutical analysis.

  • Log transformation for drug kinetics
  • Square root for count data
  • Back-transformation interpretation
  • Transformation selection guide
Start Part 5

Part 6: Pharmaceutical Applications Hub

45 minutes

Apply descriptive statistics to real pharmaceutical quality control scenarios. Master USP compliance testing and dissolution profile analysis.

  • USP weight variation compliance
  • Content uniformity testing
  • Dissolution profile statistics
  • Stability data trending
Start Part 6

Part 7: Interactive Challenges & Games

30 minutes

Test your knowledge through engaging statistical games and challenges. Compete in statistical races and distribution detective work.

  • "Distribution Detective" mystery game
  • "Statistical Race" competition
  • "USP Compliance Checker" simulator
  • Achievement badges and leaderboards
Start Part 7

🏆 Mini-Project: Complete Batch Analysis Report

Apply all Module 2 concepts in a comprehensive pharmaceutical batch analysis project. Analyze 3 tablet batches with weight, hardness, and dissolution data.

Deliverables: Excel workbook + 2-page statistical report

Start Mini-Project