View detailed video lectures on Statistics

πŸ“Ή Video Course 2024 (79 Lectures [30 hrs : 45 mins]): Offline Support

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79 Lectures [30 hrs : 45 mins] on Statistics. Click title below to see corresponding lecture.

%

  1. Overview in Statistics 4 mins
  2. What is Statistics? 10 mins
  3. Statistics: Data, Types, Diagrams 45 mins
  4. Types of Data: Primary vs. Secondary Data 11 mins
  5. Descriptive vs Inferential Statistics; Parametric vs Non-Parametric Statistics 17 mins
  6. Review of Arithmetic and Algebra 8 mins
  7. Discrete vs. Continuous Probability Distribution 13 mins
  8. Normal Distribution Curve Versus Standard Normal Distribution Curve 9 mins
  9. Calculating Z-Score 12 mins
  10. Central Limit Theorem 17 mins
  11. Test for Normality 27 mins
  12. Collection Data: Cases & Variable, Sample & Population, Source of Bias 33 mins
  13. Research Study Design 25 mins
  14. Research Types 44 mins
  15. Types of Scientific Research 16 mins
  16. Research Design 49 mins
  17. Experimental Design 37 mins
  18. Bivariate Designs 19 mins
  19. Experimental Designs & Blocking 38 mins
  20. Hypothesis – Types, Characteristics & Formulation 26 mins
  21. Testing Hypothesis- Types of Errors 24 mins
  22. Critical Value 37 mins
  23. P-Value 16 mins
  24. Recap of Type I Error 6 mins
  25. What is Power Analysis & Effect Size 20 mins
  26. Recap of Type II Error 9 mins
  27. Terminology in Research & Statistics 11 mins
  28. Writing Good Hypothesis 9 mins
  29. Scholarly Writing, Ethics in Research 14 mins
  30. Confidence Interval 39 mins
  31. Variables 53 mins
  32. Sampling & Types of Sampling 23 mins
  33. Describing Data – Categorical Variables; Probability Rules 39 mins
  34. Distributions: Frequency Distribution & Skewness 30 mins
  35. Statistics: Central Tendency, Variance, Standard Deviation, Inferential Statistics, Skewness 56 mins
  36. Measures of Central Tendency: Weighted, Harmonic and Geometric Mean 10 mins
  37. Describing Data – Quantitative Variables - Graphs, Outliers, Measures of Central Tendency, Measures of Spread 59 mins
  38. Measures of Variation or Dispersion 41 mins
  39. Describing Data – One and Two Quantitative Variables – Outliers and Scatterplot 21 mins
  40. Error: Absolute, Relative & Systematic 25 mins
  41. Simple Correlation – Pearson Product, Spearman Rank and Kendall Tau 51 mins
  42. Correlation: Special, Partial, Part & Multiple Correlation 41 mins
  43. Regression: Residuals, Assumptions, Confidence Interval & Numericals 54 mins
  44. Multiple Regression: Difference between Simple Linear, Multiple Liner and Logistic Regression 14 mins
  45. Structural Equation Modeling (SEM) 10 mins
  46. Path Analysis: Path, Path Coefficient, Extension of Regression 18 mins
  47. Path Analysis 10 mins
  48. Mediational Analysis 8 mins
  49. Inference of Proportions: One and Two Independent Proportions 29 mins
  50. Inference of One Sample Mean – T-Test 40 mins
  51. Paired Sample - T-Test 21 mins
  52. Independent Means - T-Test 30 mins
  53. Effect Size – Eta Squared and Cohen՚s D 13 mins
  54. ANOVA - What is One Way & Two-Way ANOVA - Finding Degree of Freedom & Mathematical Computation 35 mins
  55. Two Way ANOVA 12 mins
  56. Blocking, CRD, RCBD, Latin Square Design 21 mins
  57. Randomized Complete Block Design: Finding Degree of Freedom, F-Statistic and Null Hypothesis 13 mins
  58. Latin Square Design 19 mins
  59. Latin Square Design - Mathematical Computation 14 mins
  60. Variance, Covariance and Correlation 17 mins
  61. ANOVA, MANOVA, ANCOVA, MANCOVA 19 mins
  62. Chi-Square Test of Independence 32 mins
  63. Chi Square Test of Independence - Degree of Freedom 4 mins
  64. Chi Square: Goodness of Fit, Test of Homogeneity, Test of Independence 10 mins
  65. Normal Distribution vs. Binomial Distribution vs. Poisson Distribution 12 mins
  66. Parametric Test vs. Non-Parametric Test 18 mins
  67. Sign Test – Non Parametric Test 29 mins
  68. One-Sample Wilcoxon Signed Rank Test & Tied Observations – Non-Parametric Test 29 mins
  69. Mann-Whitney U Test; Wilcoxon Rank Sum Test: Non – Parametric Test 17 mins
  70. Kruskal-Wallis Test: Non-Parametric Test 15 mins
  71. Friedman Test: Non-Parametric Test 14 mins
  72. Principal Component Analysis 10 mins
  73. PCA: Mechanism, Components & Interpretation 20 mins
  74. Factor Analysis - Basics 19 mins
  75. Factor Analysis - Understanding Notation and Terminology 24 mins
  76. Factor Analysis - Goals, Differences with Clustering 21 mins
  77. Factor Analysis: Types, Factor Loading, Eigen Values, Communalities, Factor Score, Factor Rotation - Orthogonal & Oblique 21 mins
  78. Principal Component Analysis vs Factor Analysis 15 mins
  79. Multidimensional Scaling 7 mins