Learn · Essentials of Data Science With R Software-2: Sampling Theory and Linear Regression Analysis

Lecture 23 of 56Week 5

Lecture 23: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWOR using R

Prof. Shalabh · IIT Kanpur

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Essentials of Data Science With R Software-2: Sampling Theory and Linear Regression Analysis, IIT Kanpur (at NPTEL)
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CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures

  1. Lecture 01: What is Data Science? Video
  2. Lecture 02: Installation and Working with R Video
  3. Lecture 03: Calculations with R as a Calculator Video
  4. Lecture 04: Calculations with Data Vectors Video
  5. Lecture 05: Built-in Commands and Missing Data Handling Video
  6. Lecture 06: Operations with Matrices Video
  7. Lecture 07: Data Handling Video
  8. Lecture 08: Graphics and Plots Video
  9. Lecture 09: Sampling, Sampling Unit, Population and Sample Video
  10. Lecture 10: Terminologies and Concepts Video
  11. Lecture 11: Ensuring Representativeness and Type of Surveys Video
  12. Lecture 12: Conducting Surveys and Ensuring Representativeness Video
  13. Lecture 13: SRSWOR, SRSWR, and Selection of Unit- 1 Video
  14. Lecture 14: SRSWOR, SRSWR, and Selection of Unit- 2 Video
  15. Lecture 15: Probabilities of Selection of Samples Video
  16. Lecture 16: SRSWOR and SRSWR with R with "sample" Package Video
  17. Lecture 17: Examples of SRS with R using "sample" Package Video
  18. Lecture 18: Simple Random Sampling :: SRS with R using sampling- and sample- Packages Video
  19. Lecture 19: Simple Random Sampling :: Estimation of Population Mean Video
  20. Lecture 20: Simple Random Sampling :: Estimation of Population Variance Video
  21. Lecture 21: Simple Random Sampling :: Estimation of Population Variance Video
  22. Lecture 22: SRS :: Confidence Interval Estimation of Population Mean Video
  23. Lecture 23: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWOR using R Video
  24. Lecture 24: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWR using R Video
  25. Lecture 25: Sampling for Proportions and Percentages :: Basic Concepts Video
  26. Lecture 26: Sampling for Proportions and Percentages :: Mean and Variance of Sample Proportion Video
  27. Lecture 27: Sampling for Proportions and Percentages :: Sampling for Proportions with R Video
  28. Lecture 28: Stratified Random Sampling :: Drawing the Sample and Sampling Procedure Video
  29. Lecture 29: Stratified Random Sampling :: Estimation of Population Mean, Population Variance and Confidence Interval Video
  30. Lecture 30: Stratified Random Sampling :: Sample Allocation and Variances Under Allocation Video
  31. Lecture 31: Stratified Random Sampling :: Drawing of Sample Using sampling and strata Packages in R Video
  32. Lecture 32: Stratified Random Sampling :: Drawing of Sample Using survey Package in R Video
  33. Lecture 33: Bootstrap Methodology :: What is Bootstrap and Methodology Video
  34. Lecture 34: Bootstrap Methodology :: EDF, Bootstrap Bias and Bootstrap Standard Errors Video
  35. Lecture 35: Bootstrap Methodology :: Bootstrap Analysis Using boot Package in R Video
  36. Lecture 36: Bootstrap Methodology :: Bootstrap Confidence Interval Video
  37. Lecture 37: Bootstrap Methodology :: Bootstrap Confidence Interval Using boot and bootstrap Packages in R Video
  38. Lecture 38: Bootstrap Methodology :: Example of Bootstrap Analysis Using boot Package Video
  39. Lecture 39: Introduction to Linear Models and Regression :: Introduction and Basic Concepts Video
  40. Lecture 40: Simple Linear Regression Analysis :: Basic Concepts and Least Squares Estimation Video
  41. Lecture 41: Simple Linear Regression Analysis :: Fitting Linear Model With R Software Video
  42. Lecture 42: Simple Linear Regression Analysis :: Properties of Least Squares Estimators Video
  43. Lecture 43: Simple Linear Regression Analysis :: Maximum Likelihood and Confidence Interval Estimation Video
  44. Lecture 44: Simple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation With R Video
  45. Lecture 45: Multiple Linear Regression Analysis :: Basic Concepts Video
  46. Lecture 46: Multiple Linear Regression Analysis :: OLSE, Fitted Model and Residuals Video
  47. Lecture 47: Multiple Linear Regression Analysis :: Model Fitting With R Software Video
  48. Lecture 48: Multiple Linear Regression Analysis :: Properties of OLSE and Maximum Likelihood Estimation Video
  49. Lecture 49: Multiple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients Video
  50. Lecture 50: Analysis of Variance and Implementation in R Software Video
  51. Lecture 51: Goodness of Fit and Implementation in R Software Video
  52. Lecture 52: Variable Selection using LASSO Regression :: Introduction and Basic Concepts Video
  53. Lecture 53: Variable Selection using LASSO Regression :: LASSO with R Video
  54. Live Session 01-04-2021 Video
  55. Live Session 03-12-2022 Video
  56. Live Session 08-03-2024 Video