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Introduction to Discrete & Continuous Probability Distributions

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  ✅ 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...
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Qualitative vs Quantitative Data

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There are two types of data quantitative and  qualitative. As the word tells,  quantitative is about a number such as 5, 8, or 12, numerical data is quantitative data. There are two types of numerical data discrete and continuous  data. Discrete data is based on counting while  continuous  data is based on measurement. A whole number is assigned to discrete data and a real number is assigned to continuous data. Counting the number of cats will be discrete data while measuring the distance from one point to another will be continuous data. Both continuous and discrete data are quantitative data because both are numerical. The difference is observed by counting while the other is measured .  Now we will come to qualitative data. Qualitative data is based on observation and you use words to describe this data not numbers. Qualitative data is basically descriptive data based on observation and words to describe the data not numbers and this is the key di...
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