What will you learn in Decision Making with Probability & Statistics, Do it Right ! Course
- Common probability & statistics pitfalls: Identify frequent mistakes in judgment, inference, sampling, and risk evaluation.
- Psychological biases & fallacies: Spot heuristics and biases—like overconfidence, base-rate neglect, and gambler’s fallacy—that distort data interpretation.
- Decision-making strategies to avoid errors: Learn frameworks and methods to minimize misconceptions in business and leadership contexts.
- Real-world relevance: Apply these insights to weigh probabilities accurately and make data-driven, informed decisions.
Program Overview
Module 1: Common Probability Misconceptions
⏳ ~30 minutes
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Topics: Misinterpretations of chance, intuition errors, and probability illusions.
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Hands-on: Analyze observed mistakes and reflect on how intuition fails using real examples.
Module 2: Statistical Inference Errors
⏳ ~45 minutes
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Topics: Sampling biases, misreading p-values, and misuse of statistical summaries.
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Hands-on: Evaluate case scenarios to uncover statistical missteps.
Module 3: Biases & Fallacies in Data Judgement
⏳ ~45 minutes
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Topics: Heuristic traps like base-rate fallacy, confirmation bias, framing, and regression to the mean.
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Hands-on: Identify biases in common data interpretation and apply corrective strategies.
Module 4: Applying Clear Decision Frameworks
⏳ ~60 minutes
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Topics: Steps for structured decision-making and data-driven judgment.
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Hands-on: Walk through a business or leadership decision and apply clarity tools to minimize error.
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Job Outlook
- Leadership preparedness: Critical for managers, analysts, and professionals making data-informed decisions in business, finance, and policy.
- Enhanced judgement skills: Avoid common misinterpretations that lead to costly errors in risk, quality, and strategy.
- Broad applicability: Useful across fields—healthcare, economics, public sector, tech—where understanding of probability and stats is needed.
- Accelerated thinking: Builds analytical rigor and skepticism—essential for forecasting, strategy, and stakeholder guidance.
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