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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...

Confidence Interval Estimation for Mean Using t-Test

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  I. Introduction to Confidence Intervals: A confidence interval is a range of values that is likely to include the true parameter of interest. In the context of estimating the mean, it provides a range within which we are reasonably confident the true population mean lies. Confidence intervals are useful because they convey both point estimates and a measure of uncertainty. II. Basics of Confidence Intervals for the Mean: Formula for Confidence Interval: � ˉ ± � ( � � ) x ˉ ± t ( n ​ s ​ ) � ˉ x ˉ is the sample mean. � t is the critical t-value from the t-distribution. � s is the sample standard deviation. � n is the sample size. III. The t-Distribution: The t-distribution is used when the sample size is small or when the population standard deviation is unknown. It is similar to the normal distribution but has fatter tails, accommodating the additional uncertainty associated with small sample sizes. IV. Calculating the Critical t-Value: The critical t-value is determined by...