Complete A-Level Maths: Statistics in 6 Lectures

What you’ll learn on this A-Level Statistics course

• A- Level Applied Mathematics: Statistics topics
• Statistical sampling: random vs. non-random sampling methods
• Statistical measures of location: median, mode, mean, quartiles and percentiles
• Statistical measure of spread: interquartile range, percentile range, variance, standard deviation
• Correlation, linear and exponential regression
• Discrete Probability Distribution: discrete uniform distribution, binomial distribution
• Continuous Probability Distribution: normal distribution, standard normal distribution
• Approximating binomial distribution with normal distribution
• Hypothesis Testing of correlation, binomial and normal distribution parameters
• Venn diagram, tree diagram, Conditional Probability
• Large Data Set   Requirements for A-Level Statistics
  • Have completed GCSE Mathematics
    Description Founded by two recent Cambridge graduates, Westbound Maths has been running in-person training for students based in North London since 2018, and now we are online! Our courses are designed for Exam Preparation and Grade Improvement with proven results- 88% of our past students improved their final grades by at least one band from predicted grades! What Complete A-Level Maths: Statistics Course in 6 Lectures teach: The Westbound Maths Complete A-Level Applied Maths: Statistics Course covers the entire A-Level applied Maths: statistics syllabus which represents 1/6 of the final exam weight for A-Level Mathematics qualification. The course consists of 6 lectures with over 7 hours of class videos, accompanying exam- styled homework and detailed mark scheme for the following topics:
  • Statistical Sampling Methods: random vs. non-random sampling methods, and their respective advantages and disadvantages
  • Statistical Measures: measures of location including mode, median, mean, quartiles and percentiles; measures of spread including interquartile range (IQR), variance and standard deviation
  • Correlation, linear and exponential regression
  • Discrete Probability Distribution: discrete uniform distribution, discrete non-uniform distribution; and binomial distributionContinuous Probability Distribution: normal distribution, standard normal distribution; approximating binomial distribution using normal distribution.
  • Hypothesis testing and its three applications: 1) testing for the correlation between two variables; 2) testing whether the probability of success in a binomial distribution is of a certain value; 3) testing whether the mean of a normal distribution is of a certain value.
  • Probability: how to find probabilities using a Venn diagram; conditional probability.
  How to fully utilize the course materials:
  • Class video: we always start with the key concepts and definition within a topic, and then jump straight into a past exam question (sourced across major exam boards) to see how these concepts are tested and applied, then you will be given an exam-styled classroom exercise for practice followed by a detailed step-by-step guide on how to solve it.
  • Handouts: every lecture is accompanied with a handout that summarizes key concepts covered, exam- styled question solving examples, and classroom exercise solutions.
  • Homework with exam-styled questions: for each lecture, the homework contains exam-styled questions which should be completed under exam conditions to help students identify any knowledge gap.
  • Mistake Diagnosis : use the detailed sample solution to diagnose any mistake in homework which is the key to grade improvement.
  Who this course is for:
  • Parents of Year 13/A-Level students who want to improve grades and revise for exams
  • Parents of Year 12/AS Level students who want to challenge themselves and study Year 13 content ahead
  • Parents of GCSE students who want to challenge themselves and study A-Level content ahead
  • Parents of Further Maths students who want a consolidated recap of Mathematics subjects