2025fall_Statistics I_Department of Business and Management 2 C
Course Period：Now ~ Any Time
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Course Intro
Course Plan
教學目標：Describe and apply key distributions to business contexts:
Discrete—Bernoulli, Binomial, Geometric, Poisson;
Use Python to simulate randomness, estimate mean/variance, draw pmf/pdf and cdf, and explore parameter sensitivity.
Produce reproducible notebooks and clear visual narratives with medium-sized real data.
Retain Python as the default tool for subsequent coursework.
Textbooks
Introductory Business Statistics 2e. https://openstax.org/details/books/introductory-business-statistics-2e?Book%20details
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Introduction-to-Statistics
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Understanding-Data-and-Statistical-Measurement
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Descriptive-Statistics
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Choosing-the-Right-Display
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Geometric-Mean-and-Compounding
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Week-7-Mini-Lecture1-Skewness-and-Central-Tendency
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Sample-Space-Event-and-Complement
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Independent-vs-Dependent-Events
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Clarity-in-Chance
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Cracking-the-Code-of-Chance
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Modeling_Discrete_Uncertainty_A_Statistician_s_Toolkit
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Worlds_of_Chance_Dependent_vs_Independent_Probability
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geometric_the_story_of_wait
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Poisson_Modeling_Mastering_Rare_Events
Teacher / 林淯慈
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