## Exam-Ready Series: Further Probability & Statistics Course

A course designed to help you master important concepts and pass your exams once and for all!

• ### Video Tutorials

For each syllabus topic, you will get a series of videos where the core concepts are well-explained with relevant worked examples to give you a deeper understanding

• ### Exam-Style Questions

Learn how to answer typical exam questions with confidence. In this course, you will be exposed to worked example videos which demonstrate how to answer exam questions.

• ### Worksheets

This is the only course which you need to master A Level Further Probability Statistics and prepare for the for CAIE A Level Further Mathematics (9231) exams. Besides learning the new chapters of the course, you will also gain a better understanding of the concepts you learnt in A Level Probability and Statistics 1 & 2 (9709). There will be worked solutions in this course to ensure that you get sufficient practice and exposure to exam-style questions. Enroll today!

• Key concepts of each topic explained

• How to handle common exam questions

• High-quality questions to ensure sufficient practice

## Course curriculum

1. Introduction

2. Piecewise Definition

3. Expectation of any function

4. Worked Example 1

5. The Cumulative Distribution Function

6. Worked Example 2

7. Median, Quartiles & Percrentiles

8. Obtaining the PDF from the CDF

9. Finding the CDF and PDF of a related variable

10. Worked Example 3

11. Worksheet 1

12. Woorksheet 2

1. The t-distribution

2. The mean of a normal population with unknown variance

3. Confidence Interval for the Population Mean

4. Confidence Interval for the Population Mean – Worked Examples

5. Hypothesis Testing (the t-Test)

6. Hypothesis Testing (the t-Test) – Worked Example

7. Worksheet 1

8. Testing the difference between two population means (Worked Example)

9. Two-sample t-Tests

10. Inference - Hypothesis difference pop means (worked example)

11. Calculating Pooled Estimates for the Population Mean

12. Two-sample t-Tests (worked example)

13. Confidence Interval for the Difference in Population Means (Large Samples)

14. Confidence Interval for the Difference in Population Means (Small Samples)

15. Worksheet 2

16. Paired sample t-tests

17. Worksheet 3

1. Chi-squared - Introduction

2. Goodness of Fit Tests (Introduction)

3. Chi-squared - Goodness of Fit (Binomial 1)

4. Chi-squared - Goodness of Fit (Binomial 2)

5. Chi-squared - Goodness of Fit (Geometric)

6. Chi-squared - Goodness of Fit (Poisson)

7. Worksheet 1

8. Chi-squared - Independence (Introduction)

9. Worksheet 2

1. Introduction

2. Single Sample Sign Test (Large Samples)

3. Wilcoxon signed rank test

4. Wilcoxon signed rank test (Worked example)

5. Wilcoxon signed rank test (Large Samples)

6. Paired sample sign test

7. Wilcoxon matched pairs signed rank test

8. Wilcoxon Rank-Sum Test

9. Worksheet 1

10. Worksheet 2

1. Introduction

2. Calculating Probabilities

3. Expectation and variance

4. Expectation and variance (worked example)

5. Discrete Uniform Distribution

6. Binomial Distribution

7. Poisson Distribution

8. Geometric Distribution

9. Sum of indepedent variables

10. Worksheet 1

11. Worksheet 2 • \$49.00
• 59 lessons
• 9 hours of video content

## Instructor ### Walter Chatyoka

#### Maths Teacher

With over a decade of experience teaching High School Maths and Science , I have grown to become a very effective and versatile teacher. I'm very passionate about teaching Maths and I have managed to produce excellent results for my students.

## Life-time access

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