Applied Statistics Class 1: Review Laws of Probability скачать в хорошем качестве

Applied Statistics Class 1: Review Laws of Probability

Laws of Probability: 1) Axioms (including Addition Rule for mutually exclusive events), 2) Complement Rule, 3) General Addition Rule, 4) Conditional Probability and General Multiplication Rule, 5) Independence and Multiplication Rule for Independent Events, 6) Bayes' Theorem. https://amzn.to/3rjDOoA (Probability and Statistics with Applications: A Problem Solving Text, by Asimow and Maxwell) 🔴 Probability and Statistics Exam 1 Review Problems and Solutions:    • Probability and Statistics Exam 1 Review P...   🔴 Probability and Statistics Exam 2 Review Problems and Solutions:    • Probability & Statistics Exam 2 Review Pro...   🔴 Probability and Statistics Exam 3 Review Problems and Solutions:    • Probability and Statistics Exam 3 Review P...   🔴 Statistics Exam Review: F Test to Compare 2 Variances, T Test to Compare 2 Means (Pooled & Unpooled):    • Statistics Exam Review: F Test to Compare ...   🔴 Linear Regression Sample Exam Problems and Solutions (Involving both Formulas & Spreadsheet Output):    • Linear Regression Sample Exam Problems and...   #probability #statistics #appliedstatistics Links and resources =============================== 🔴 Subscribe to Bill Kinney Math: https://www.youtube.com/user/billkinn... 🔴 Subscribe to my Math Blog, Infinity is Really Big: https://infinityisreallybig.com/ 🔴 Follow me on Twitter:   / billkinneymath   🔴 Follow me on Instagram:   / billkinneymath   🔴 You can support me by buying "Infinite Powers, How Calculus Reveals the Secrets of the Universe", by Steven Strogatz, or anything else you want to buy, starting from this link: https://amzn.to/3eXEmuA. 🔴 Check out my artist son Tyler Kinney's website: https://www.tylertkinney.co/ (0:00) Axioms of probability, including Addition Law for Mutually Exclusive Events (5:56) Impossible event and Complement Rule (9:34) Venn Diagrams (11:01) General Addition Rule (15:24) De Morgan's Laws (21:45) Deck of cards (24:02) Conditional probability (29:13) Independent events (38:19) Multiplication rule for independent events (41:02) General Multiplication Rule (46:25) Bayes' Theorem (disease testing example) AMAZON ASSOCIATE As an Amazon Associate I earn from qualifying purchases.