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Introduction to Discrete & Continuous Probability Distributions

  ✅ 1. What is a Probability Distribution? A probability distribution describes how probabilities are distributed over the values of a random variable . Random Variable : A variable whose values are outcomes of a random phenomenon. 🧮 2. Types of Probability Distributions Type Description GIS Example Discrete           Takes countable values  Number of landslides per year in a          valley Continuous          Takes infinite values over an                 interval Rainfall (mm), elevation, temperature  📌 Discrete Probability Distributions 🎯 3. Binomial Distribution ✅ Definition : Used when an experiment is repeated n times , and each trial has two outcomes : success or failure. ✅ Conditions : Fixed number of trials (n) Only two possible outcomes per trial (success/failure) Constant probability of success (p) Trials are in...

Venn Diagrams

 Venn Diagrams 1. Introduction Venn diagrams are visual tools used to show relationships between different sets . Developed by John Venn in the 1880s. Very useful in Economics (e.g., market segmentation, resource allocation) and Animal Science (e.g., species distribution, common traits among animals). ads 2. Basic Concepts Set : A collection of distinct objects (e.g., all dairy animals, or all consumers of organic products). Elements : Items inside a set. Universal Set (U) : All possible elements under consideration. Subset : A set entirely contained within another set. Intersection ( ∩ ) : Elements common to two or more sets. Union ( ∪ ) : All elements from two or more sets (without repetition). Complement ( A' ) : Elements not in set A. ads 3. Components of a Venn Diagram Circles represent sets. Overlapping areas represent common elements (intersections). Non-overlapping areas represent unique elements. Rectangle often ...

Common Logical Fallacies

  🔍 What is a Logical Fallacy? A logical fallacy is a flaw in reasoning that weakens an argument. Fallacies often seem persuasive at first glance but do not hold up under scrutiny. Understanding fallacies helps students: Analyse arguments critically Avoid faulty reasoning in research and decision-making Make ethical, evidence-based choices in science and policy ad 📜 1. Ad Hominem (Personal Attack) ➤ Definition: Attacking the person making the argument rather than the argument itself. 🐄 Animal Science Example: “Don't trust his view on livestock nutrition—he’s not even a vet!” 💰 Economics Example: “Of course she supports higher taxes—she’s a rich economist!” ✅ Avoid by: Focusing on evidence , not personal characteristics . ad 📜 2. Straw Man Fallacy ➤ Definition: Misrepresenting someone’s argument to make it easier to attack. 🐐 Animal Science: Scientist: “We should reduce antibiotic use.” Critic: “So you're saying we should let animal...

Propositional Logic and Its Applications

  🧩 1. Propositions 🔍 Definition: A proposition is a statement that is either true or false , but not both. 🐄 Animal Science Example : "The cow is ruminant." → ✅ Proposition (It can be verified as true or false) 💹 Economics Example : "Increasing taxes always decreases consumer spending." → ✅ Proposition (It has a truth value, though we may debate its accuracy) ads 🚫 Not Propositions: Questions: “Is the cow healthy?” Commands: “Increase the price!” These cannot be judged as true or false, so they are not propositions. 🔗 2. Arguments (Valid and Invalid) 🔍 Definition: An argument is a series of propositions where: One or more are premises (assumed to be true) One is a conclusion The goal : check whether the conclusion logically follows from the premises. ads ✅ Valid Argument If the conclusion logically follows from the premises. Example (Animal Science): Premise 1: All poultry need clean water. Premise 2: These...

Reasoning and approaches of reasoning

  🧠 What is Reasoning? Reasoning is the mental process of drawing conclusions from facts, observations, or assumptions. In both animal science and economics, the way we reason determines how we: Analyze problems Test hypotheses Interpret data Make decisions add There are three primary types of reasoning approaches: Deductive reasoning Inductive reasoning Abductive reasoning 1️⃣ Deductive Reasoning: From General to Specific 🔍 Definition: Deductive reasoning starts with a general principle or theory and applies it to a specific case to reach a logically certain conclusion. add ✔️ Structure: If A is true , and B fits A , then B must be true . 🐄 Animal Science Example : Premise 1: All ruminants have a four-chambered stomach. Premise 2: Cows are ruminants. ➡️ Conclusion: Cows have a four-chambered stomach. 💹 Economics Example : Premise 1: When demand increases and supply remains constant, prices rise. Premise 2: Demand for wh...

Introduction and Importance of Logic

🧠 What Is Logic? Logic is the science of correct reasoning. It teaches us how to think clearly , reason systematically , and draw reliable conclusions based on evidence. It's not just about solving philosophical puzzles — logic is deeply practical . Whether you're studying animal behaviour or economic patterns , logic helps you separate fact from opinion , evidence from assumption , and truth from confusion . 📌 Simple definition : Logic is a tool that helps us think right , argue better , and make smarter decisions .   🌿 Why Logic Matters in Animal Science Animal science is all about observation, interpretation, and decision-making — all of which depend on sound reasoning. 🔍 Real-Life Relevance: Research design : Logic helps you set up experiments with clear, testable hypotheses. Example : If you observe changes in feeding behaviour, is it due to a new diet or environmental stress? Logic helps structure that analysis. Data interpretation : When analysing pattern...

Investigating Relationships Between Variables

  🧩 1. Introduction Understanding how variables are related is key in zoology and ecology. These relationships help scientists: Analyze biological and ecological data. Make predictions. Understand cause-effect patterns in nature. Variables can be represented using: Tables Graphs Mathematical functions 🔄 2. Types of Relationships Between Variables 🔹 Direct (Positive) Relationship Definition : When one variable increases, the other also increases. Example : As temperature increases , metabolic rate in reptiles increases. Graph : Upward-sloping line or curve. 🔹 Inverse (Negative) Relationship Definition : When one variable increases, the other decreases. Example : As population density increases, resource availability decreases. Graph : Downward-sloping curve. 🔹 No Relationship (Independent Variables) Definition : Change in one variable does not affect the other. Example : No relationship between shoe size and income . ...