Introduction to teaching Statistics

London

Overview

This one-day course is an introduction to some of the topics within A level Mathematics including the Normal Distribution, Conditional Probability and Hypothesis Testing. There will also be a session on how the Large Data Set can be used to enhance teaching of statistical topics.

 

Timetable for the day:

09:30     Registration and refreshments

10:00     Starter and Curriculum Update

10:30     Conditional Probability

11:30     Refreshments

11:45     Hypothesis Testing using the Binomial Distribution

12:45     Lunch (sandwiches will be provided)

1:30       The Normal Distribution

2.15       Large Data Sets

3.15       Plenary

3.30       Evaluation and end.

 

Feedback from previous “Introduction to Statistics” days:

Lots of helpful activities

Engaging!

Really enjoyed the day and feel less anxious prior to teaching

Excellent preparation for new A level

Great course – thank you!

Aims

  • To introduce teachers to some of the statistical topics within A level
  • To give teachers time to work on some of the key ideas within A level
  • To share resources and teaching ideas
  • To use technology such as calculators and Geogebra effectively

Who will benefit from attending?

This course is aimed at those who have not taught Statistics at A level before, or would like to refresh their subject knowledge. 

Knowledge of the statistics within GCSE Mathematics is assumed. 

Key Facts

Event ref:

#5988

Audience:

Teachers

Curriculum focus:

A level Mathematics

Mathematical focus:

Statistics

Event format:

Face-to-face Professional Development

Event length:

1 day

Region:

London and South East

Venue:

University of Greenwich

Date:

Tue 9th Jul 2019

Course times:

09:30 - 15:45

Fee:

Free

Apply

Printable Version

Queries?

If you have any queries about this event, please do not hesitate to contact:

Jenny Davey
[email protected]

The AMSP, through MEI, holds the NCETM CPD Standard

National Centre for Excellence in the teaching of Mathematics

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