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  • 1. This lecture discusses how to assign values to variables in R. 2. Also we will learn how R can be used as a calculator for doing ...
  • This lecture discusses different types of plots between two data vectors. Matrix plots and correlation plots are also discussed with ...
  • In this lecture, the ordinary least squares estimator for multiple linear regression model is discussed using R commands.
  • In this lecture, estimation of population mean and population variance is discussed with formulation and R commands, in case of ...
  • In this lecture, maximum likelihood estimators of regression coefficients and it's properties are discussed. Testing of hypothesis ...

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In this lecture, some basic operations on matrices like addition, subtraction, multiplication are discussed in detail. Extracting a ... In this lecture, test of significance of regression (Analysis of variance) is discussed with examples and implementation using R ... In this lecture, in continuation to the last lecture, mathematical details and formulation for varince of sample mean under SRSWOR ... 1. In this lecture basic concepts and definitions regarding sampling and sampling unit is explained. 2. Aslo, some details about ...

This lecture talks about how different basic operations can be used on a vector. It includes finding maximum, minimum, square ...

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