View Detailed Video Lectures on Statistics

Subscribe now to access detailed & easy to understand video lectures (46 lectures [20 hrs : 49 mins]) on Statistics covering entire 2022-2023 syllabus. Get latest & updated lectures on the device of your choice. View complete list of lectures below. Click on any lectures to for sample preview.

View Features or click a lecture below for preview. Price includes 1 month validity and 3 views of each lecture (). You can extend validity and increase views after adding to cart.

Rs. 120.00 -OR-

How to register? Already Subscribed?

We have 46 lectures [20 hrs : 49 mins] lectures on Statistics. You can view the lectures below. [Duration] is given in brackets.

%

  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. Collection Data: Cases & Variable, Sample & Population, Source of Bias 33 mins
  12. Research Study Design 25 mins
  13. Research Types 44 mins
  14. Types of Scientific Research 16 mins
  15. Research Design 49 mins
  16. Experimental Design 37 mins
  17. Bivariate Designs 19 mins
  18. Experimental Designs & Blocking 38 mins
  19. Hypothesis – Types, Characteristics & Formulation 26 mins
  20. Testing Hypothesis- Types of Errors 24 mins
  21. Critical Value 37 mins
  22. P-Value 16 mins
  23. Recap of Type I Error 6 mins
  24. What is Power Analysis & Effect Size 20 mins
  25. Recap of Type II Error 9 mins
  26. Terminology in Research & Statistics 11 mins
  27. Writing Good Hypothesis 9 mins
  28. Scholarly Writing, Ethics in Research 14 mins
  29. Confidence Interval 39 mins
  30. Variables 53 mins
  31. Sampling & Types of Sampling 23 mins
  32. Describing Data – Categorical Variables 39 mins
  33. Distributions: Frequency Distribution & Skewness 30 mins
  34. Statistics: Central Tendency, Variance, Standard Deviation, Inferential Statistics, Skewness 56 mins
  35. Measures of Central Tendency 10 mins
  36. Describing Data – Quantitative Variables 59 mins
  37. Measures of Variation or Dispersion 41 mins
  38. Describing Data – One and Two Quantitative Variables – Outliers and Scatterplot 21 mins
  39. Simple Correlation – Pearson Product, Spearman Rank and Kendall Tau 51 mins
  40. Correlation: Special, Partial, Part & Multiple Correlation 41 mins
  41. Regression: Residuals, Assumptions, Confidence Interval & Numericals 54 mins
  42. Inference of Proportions: One and Two Independent Proportions 29 mins
  43. Inference of One Sample Mean – T-Test 40 mins
  44. Paired Sample - T-Test 21 mins
  45. Independent Means - T-Test 30 mins
  46. Effect Size – Eta Squared and Cohen՚s D 13 mins