ABOUT THIS COURSE

This course aims to develop understanding of the key topics in the A2 Mathematics A-level Specification: Conditional probability, the normal distribution (including the normal approximation of the binomial distribution) and the hypothesis tests for the correlation coefficient and the mean of a normal distribution. The session will focus on key teaching ideas and resources for introducing concepts to students, as well as looking at key assessment objectives and previous issues as highlighted by examiners. Knowledge of the AS Statistics specification will be assumed, including hypothesis testing with the binomial distribution.

 

N.B: Teachers must bring a calculator with statistical functionality, such as the Casio class wiz, for retrieving values from statistical models such as the normal distribution

 

BENEFITS OF ATTENDING

  • Gain an understanding of the key topics of the A-level Statistics specification
  • Gain knowledge and guidance on the key assessment objectives and issues highlighted by the examiner
  • Take away resources to use in the classroom
  • Explore the conceptual understanding of hypothesis testing
COURSE DATES London | Thursday 26 November 2021

London | Thursday 11 February 2022

WHO SHOULD ATTEND? 
  • New Teachers of A-level Statistics who have taught the AS specification.
  • Experienced teachers keen to develop their pedagogy of key Statistics concepts
COURSE CODE 8707
IN-SCHOOL You can also book this as an In-School Course
INCLUDED
  • A specially prepared folder of detailed notes, practical advice and guidance
  • Notes prepared by the educational experts leading the course
  • Expert produced PowerPoint presentations
  • CPD Certificate of attendance

 

10.00 – 10:30am: Introduction and overview

  • What are the key topics of A-level statistics and how do they fit into the specification?
  • What are the key assessment objectives and priorities for exams?
  • What lessons come from recent exam papers for preparing our students?

 

 

10:30 – 11:30am: Conditional probability

  • How can we develop student conceptual understanding of probability?
  • Where the common places are students lose marks in conditional probability questions?
  • What are the range of questions an examiner might ask?

 

 

11:30 – 11:45am: morning break 

 

11:45 – 12:45pm: The Normal distribution

  • What do students need to know about the Normal distribution?
  • Using technology to develop understanding of the Normal distribution
  • Calculators and probability tables: where and when?
  • Exam question deep dive: Issues and solutions

 

 

12:45 – 13.45pm: Lunch  

1:45 – 14:45pm: The Normal approximation to the binomial distribution / Hypothesis testing with correlation coefficients

  • Helping students to understand continuity corrections for the normal approximation of the binomial distribution
  • Developing student understanding of hypothesis tests for correlation coefficients

14:45 – 15:00 pm: afternoon break

 

15:00 – 16:00pm: Hypothesis testing with the normal distribution

  • Developing a qualitative understanding of the central limit theorem for use in hypothesis tests
  • Common student misconceptions and exam errors
  • Using the test for the mean of a normal distribution hypothesis test to develop a more general understanding of hypothesis tests

 

16.00pm: Depart

Phillip Howard

Phillip Howard is Head of Mathematics at a leading secondary school with over fifteen years’ teaching experience. He is an AQA Examiner, Pearson Team Leader and OCR Assessment Specialist. He holds a 1st class Bsc, PGCE (maths) and an MSc. In addition to his evidenced devotion to his subject and students, Phillip is a prolific writer on the teaching, learning and promotion of Mathematics in Education.