Chi Square Distribution | Mean & Variance | MGF | Additive Property | ISS EXAM 2026 | Lecture -26

In this video, we have explained Chi-Square Distribution (χ²) with complete derivation of Mean, Variance, Moment Generating Function (MGF), and Additive Property for ISS EXAM 2026. This is Lecture -26 of our Statistical Methods series. 📌 Topics Covered: Definition of Chi-Square Distribution Probability Density Function (PDF) Derivation of Mean Derivation of Variance Moment Generating Function (MGF) Additive (Reproductive) Property Relation with Gamma Distribution Relation with Normal Distribution Degrees of Freedom (df) Important for ISS 2026, IIT JAM, ISI, GATE Statistics 📢 Share with your friends preparing for ISS 2026 🔔 Subscribe for more lectures #ChiSquareDistribution #ISS2026 #MeanAndVariance #AdditiveProperty #ChiSquareDistribution #ISS2026 #MeanAndVariance #MGF #AdditiveProperty #DegreesOfFreedom #StatisticalMethods #ISSExam #ProbabilityDistribution #StatisticsLecture #IITJAMStatistics #UpscIss #ContinuousDistribution #GammaDistribution #NormalDistribution chi square distribution mean and variance, chi square distribution mgf, chi square distribution derivation, chi square distribution pdf, chi square additive property, chi square degrees of freedom, chi square distribution properties, chi square vs normal distribution, chi square distribution iss 2026, chi square distribution lecture, statistical methods for iss exam, chi square distribution expected value, chi square distribution variance proof, chi square reproductive property, iss 2026 statistics syllabus, chi square distribution examples, relation between gamma and chi square, chi square distribution for hypothesis testing,