A-Level Statistics Made Easy (Full Course)
What you'll learn
- Data Representation: what a dataset is telling us visually (stem-and-leaf diagrams, box-and-whisker plots, histograms and cumulative frequency graphs);
- Measures of Location in order to estimate the most likely outcome of an experiment (mean, median, mode);
- Measures of Spread in order to understand how volatile or variable a dataset is (range, quartiles, interquartile range, standard deviation);
- Sigma Notation and summation
- Counting Methods: Learn efficient methods for counting the number of arrangements of a set number of objects using permutation and combination functions;
- Probability: how to determine the likelihood of events occurring (Venn diagrams, unions, intersections, mutually exclusive outcomes, and independent trials);
- Solving probability problems involving permutations, combinations, and tree diagrams;
- The Binomial Distribution: theory and application;
- Discrete Probability Distributions: theory and applications, as well as understanding of expectation, variance, and standard deviation;
- The Normal Distribution: theory and application;
- Using the Normal Distribution to Approximate the Binomial Distribution
Requirements
- GCSE-level algebra and mathematical techniques
Description
Are you battling to understand statistics?
Are you confused by intimidating formulae and jargon?
Are you looking for an easy-to-understand, video-based learning platform to help you ace your exams?
Well if so, this course is perfect for you. I designed this statistics course combining years of teaching, investment banking, and entrepreneurial experience. The result is an easy-to-understand and real-world applicable course with detailed explanations and worked examples, which will not only help you to understand statistical concepts; but will also help you to see how statistics is applied in real-world business scenarios. This "learn-by-doing" approach, will empower you to master the concepts being taught quickly, via direct application.
The video format of the course accelerates learning, and provides an engaging delivery mechanism for the educational content. Many students who learn more effectively using visual aids or animations will find the content and flow of the course absorbing and non-monotonous. For this reason this course provides an invaluable resource for students studying in full-time learning institutions, and also for students studying via distance learning.
This course is recommended for students studying for their A-level mathematics qualification through the Cambridge University syllabus. It is however also applicable to almost all of the coursework contained in the Oxford A-level mathematics syllabus as well.
Who this course is for:
- A-level students wishing to write the Cambridge paper 5 statistics exam
Instructor
- 4.6 Instructor Rating
- 60 Reviews
- 8,512 Students
- 6 Courses
I am passionate about coaching and training.
My services include consulting and training in the areas of risk assessment, financial modelling, deal appraisal, and financial structuring for debt and equity transactions.
I previously worked as an investment banker where I was involved in the structuring of multi-million dollar transactions, developing pricing models, managing investment-related risks, preparing client pitches and successfully closing deals.
I have concluded corporate debt financing, advisory, as well as project financing transactions. My areas of expertise include:
· Presentation of sales pitches, advisory mandates, and information memorandums (both the preparation and presentation thereof);
· Deal pricing (structuring pricing and deal terms for credit and capital considerations);
· Preparing of term sheets and deal structuring;
· Credit analysis;
· Financial modelling and debt capacity calculations;
· Legal documentation and review;
Prior to investment banking, I worked as a training facilitator for a small business incubator program, taught A-level Economics, Statistics and Mathematics, and also authored a mathematics textbook for distance learning students across Southern Africa.
I hold a Bachelor’s degree in Actuarial Science and an Honours degree in Advanced Mathematics of Finance. My Areas of study included:
· South African Financial Markets
· Introduction to Derivative Securities
· Stochastic Calculus
· Risk Theory
· Numerical Methods
· Differential Equations
· Swaps and Exotic Options
· Interest Rate Options
· Portfolio Optimization