Learn · Probability and Statistics
Lecture 70 of 79week-12
Lecture 70 : Testing for Normal Mean
Prof. Somesh Kumar · IIT Kharagpur
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All the lectures
- Lecture 1: Sets, Classes, Collections
- Lecture 2: Sequence of Sets
- Lecture 3: Ring, Field (Algebra)
- Lecture 4:SigmaRing, SigmaField, Monotone Class
- Lecture 5: Random Experiment, Events
- Lecture 6:Definitions of Probability
- Lecture 7:Properties of Probability Function I
- Lecture 8: Properties of Probability Function II
- Lecture 9: Conditional Probability
- Lecture 10: Independence of Events
- Lecture 11: Problems in ProbabilityI
- Lecture 12: Problems in ProbabilityII
- Lecture 13: Random Variables
- Lecture 14: Probability Distribution of a Random VariableI
- Lecture 15: Probability Distribution of a Random VariableII
- Lecture 16 : Moments
- Lecture 17: Characteristics of DistributionsI
- Lecture 18 : Characteristics of DistributionsII
- Lecture 19: Special Discrete DistributionsI
- Lecture 20: Special Discrete DistributionsII
- Lecture 21: Special Discrete DistributionsIII
- Lecture 22: Poisson ProcessI
- Lecture 23: Poisson ProcessII
- Lecture 24: Special Continuous DistributionsI
- Lecture 25: Special Continuous DistributionsII
- Lecture 26: Special Continuous DistributionsIII
- Lecture 27: Special Continuous DistributionsIV
- Lecture 28: Special Continuous DistributionsV
- Lecture 29: Normal Distribution
- Lecture 30: Problems on Normal Distribution
- Lecture 31: Problems on Special DistributionsI
- Lecture 32: Problems on Special DistributionsII
- Lecture 33: Function of a Random VariableI
- Lecture 34: Function of a Random VariableII
- Lecture 35 : Joint DistributionsI
- Lecture 36 : Joint DistributionsII
- Lecture 37 : Independence, Product Moments
- Lecture 38: Linearity Property of Correlation and Examples
- Lecture 39 : Bivariate Normal DistributionI
- Lecture 40 : Bivariate Normal DistributionII
- Lecture 41: Additive Properties of Distributions I
- Lecture 42: Additive Properties of DistributionsII
- Lecture 43: Transformation of Random Variables
- Lecture 44: Distribution of Order Statistics
- Lecture 45: Basic Concepts
- Lecture 46: ChiSquare Distribution
- Lecture 47: ChiSquare Distribution (Cont…), tDistribution
- Lecture 48 : FDistribution
- Lecture 49 : Descriptive Statistics I
- Lecture 50 : Descriptive Statistics II
- Lecture 51 : Descriptive Statistics III
- Lecture 52 : Descriptive Statistics IV
- Lecture 53 : Introduction to Estimation
- Lecture 54 : Unbiased and Consistent Estimators
- Lecture 55 : LSE, MME
- Lecture 56: Examples on MME, MLE
- Lecture 57 : Examples on MLEI
- Lecture 58 : Examples on MLEII, MSE
- Lecture 59 : UMVUE , Sufficiency, Completeness
- Lecture 60 : RaoBlackwell Theorem and Its Applications
- Lecture 61 : Confidence Intervals I
- Lecture 62 : Confidence Intervals II
- Lecture 63 : Confidence Intervals III
- Lecture 64 : Confidence Intervals IV
- Lecture 65 : Basic Definitions
- Lecture 66: Two Types of Errors
- Lecture 67: NeymanPearson Fundamental Lemma
- Lecture 68 : Applications of NP Lemma I
- Lecture 69 : Applications of NP lemma II
- Lecture 70 : Testing for Normal Mean
- Lecture 71 : Testing for Normal Variance
- Lecture 72 : Large Sample Test for Variance and two Sample Problem
- Lecture 73 : Paired tTest
- Lecture 74 : Examples
- Live Session 27-08-2021
- Live Session 01-10-2021
- Live Session 22-02-2024
- Live Session 18-03-2024
- Live Session 05-04-2024