• S2 Option - Sampling & Estimation

  This session introduces and explains the chapter Sampling & Estimation in Statistics 2.

   

  The following concepts are explained in video lessons:

  Part 1 - Sampling Theory explained; reasons for using samples to study a population discussed

  Part 2 - the Distribution of Sample Means, X-bar, explained

  Part 3 - concept of Unbiased Estimates explained; Methods of Random Sampling discussed

  Part 4 - Unbiased Estimates for population mean (μ), population variance (σ²) and population proportion (p) explained

  Part 5 - Example 1 discussed: calculating sample mean and sample variance for a given sample of data

   

  The exercise file section contains notes to the above video lessons on Sampling & Estimation

   

• Session 26: S2 - Sampling and Estimation

  • Statistics 2
    • Part 1 - Sampling Theory 6 mins
      View Demo

      Demo video

      Part 1 - Sampling Theory

      View Full Lesson
    • Part 2 - Distribution of Sample Means 2 mins
      View Demo

      Demo video

      Part 2 - Distribution of Sample Means

      View Full Lesson
    • Part 3 - Unbiased Estimates 9 mins
      View Demo

      Demo video

      Part 3 - Unbiased Estimates

      View Full Lesson
    • Part 4 - Unbiased Estimates 4 mins
      View Demo

      Demo video

      Part 4 - Unbiased Estimates

      View Full Lesson
    • Part 5 - Example 1 6 mins
      View Demo

      Demo video

      Part 5 - Example 1

      View Full Lesson

• Excercise Files

  • Notes
    • Sampling & Estimation - Notes

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