Course curriculum

    1. Data Representation - Key Concepts

    2. Data Representation - Definition of terms and Intro To What It Is

    3. Types Of Data - Qualitative Data Part 1

    4. Types Of Data - Qualitative Data Part 2

    5. Types Of Data - Qualitative Data Part 2 Additional Information

    6. Types Of Data - Quantitative Data Part 1 - Discrete Data

    7. Types Of Data - Quantitative Data Part 2 - Continuous Data. A

    8. Types Of Data - Quantitative Data Part 2 - Continuous Data. B

    9. Stem And Leaf Diagrams - Part 1

    10. Stem And Leaf Diagrams - Part 2

    11. Stem And Leaf Diagrams - Part 3

    12. Stem And Leaf Diagrams - Part 4

    13. Stem And Leaf Diagrams - Part 5

    14. Histograms - Intro Video

    15. Histogram Worked Example 1

    16. Histogram Worked Example 1 - Addittives

    17. Worked Example 2 - Part A

    18. Worked Example 2 - Part B

    19. Histogram Worked Example 3

    20. Histogram Worked Example 3 (Part B)

    21. Histogram Worked Example 4

    22. Histogram Past Paper Questions - Question 1

    23. Histogram Worked Example 5 (Part A)

    24. Histogram Worked Example 5 (Part B)

    25. Histogram - Shape Of Distribution

    26. Mean Intro

    27. More On Mean

    28. Mean - Worked Example 1

    29. Grouped Vs Ungrouped Data

    30. Mean - Worked Example 2

    31. Mean - Worked Example 3

    32. Mean - Worked Example 4 (Part 1.1)

    33. Mean - Worked Example 4 (Part 1.2)

    34. Mean - Worked Example 4 (Part 2)

    35. Mean - Worked Example 5

    36. Measures Of Variability - Intro

    37. Range

    38. Standard Deviation and Variance Intro

    39. Standard Deviation - Worked Example 1

    40. Standard Deviation - Worked Example 2

    41. Standard Deviation - Worked Example 3

    42. Standard Deviation - Worked Example 4

    43. Standard Deviation - Worked Example 5 (Part 1)

    44. Standard Deviation - Worked Example 5 (Part 2)

    45. Standard Deviation - Worked Example 6 (Part 1)

    46. Standard Deviation - Worked Example 6 (Part 2)

    47. Standard Deviation - Worked Example 7

    48. Standard Deviation - Worked Example 8

    49. Standard Deviation - Worked Example 9

    1. Permutations and Combinations - What you have to know (From the syllabus)

    2. Arrangements In A Line - Distinct Objects

    3. Arrangements In A Line - Worked Example - Distinct Objects

    4. Arrangements In A Line - Worked Example - Objects That Have Repetitions

    5. Arrangements In A Line - Worked Example -Cases with Restrictions (Alternating Values) Part 1

    6. Arrangements In A Line - Worked Example -Cases with Restrictions (Alternating Values) Part 2

    7. Arrangements In A Line - Worked Example -Cases with Restrictions (Together Or Not Together)

    8. Arrangements In A Line - Worked Example -Cases with Restrictions (Repetitions Allowed Or Not Allowed)

    9. Arrangements In A Line - Worked Example -Cases with Restrictions (r spaces for n objects, but WITH Repetitions Allowed )

    10. Permutations - Worked Example 1

    11. Intro To Combinations

    12. Combinations - Worked Example 1

    13. Combinations Case 2 - (Choosing r from n objects that are NOT distinct)

    1. Probability - What The Syllabus Wants You To Know!

    2. Conditional Probability - Deriving The Multiplication Rule

    3. Conditional Probability Intro - What It Is

    4. Conditional Probability - Worked Example 2 (Sampling Without Replacement)

    5. Conditional Probability - Worked Example 3 (Method 1)

    6. Conditional Probability - Worked Example 3 (Method 2)

    7. Conditional Probability - Worked Example (Two - Way Table)

    8. Intro To Independent Events

    9. Independent Events - Worked Example ( Sampling With Replacement)

    10. Independent Events - Worked Example 3 (Using Keywords; And _ Or)

    11. Independent Events - Worked Example 4 (More Use Of the Keywords!)

    1. Discrete Random Variables Vs Continuous Variables 1 - Discrete Random Variables

    2. Discrete Random Variables Vs Continuous Variables 2 - Continuous Random Variables

    3. Discrete Random Variables - What It Looks Like In The Syllabus!

    4. Probability Distribution Table Intro & Worked Example 1

    5. Probability Distribution Table - Worked Example 2

    6. Probability Distribution Table - Worked Example 3 ( Finding Expectation & Variance)

About this course

  • $80.00
  • 79 lessons
  • 11 hours of video content

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