[Maths-Education] Teaching statistics and quantitative methods

[Jeremy Burke]

Dear Peter

It depends how quickly you want this material. At the moment we are  
developing a little applet which allows you to 'drag' the curve of a  
predetermined function type to fit it to an underlying scatter plot.  
This can then be compared to a calculated curve of best fit. The idea  
is it supports the move towards an understanding of a regression  
curve. Although this is being aimed at year 8, your message has  
prompted me to think that it would actually work for masters QM  
sessions. I don't suppose many year 8 pupils will have come across  
ae^-bx functions yet.

If this sounds of interest and we can get it done in time, then I'll  
send you a copy to look at.

Jeremy

Jeremy Burke
Lecturer in Mathematics Education
Dept Education & Professional Studies
Room 1/22
King's College London

tel     020 7848 3855
moby 07715 420 703


jeremy.burke at kcl.ac.uk



On 15 Apr 2007, at 14:58, Gates Peter wrote:

> ********************************************************************** 
> *************************************
> This message has been generated through the Mathematics Education  
> email discussion list.
> Hitting the REPLY key sends a message to all list members.
> ********************************************************************** 
> *************************************
> Thanks Chris,
>
> Yes I did that it was the first thing I did - and what I found wasn't
> very impressive. All just didactic pedagogy written on PowerPoint
> slides!
>
> In fact it is what I did - but so far no one has been able to identify
> really good dynamic resources. Someone suggested usng Excell and there
> are usefl activities one can devise. But that is not really what I was
> looking for.
>
>
> Peter
> ***************************
> Dr Peter Gates
> School of Education
> The University of Nottingham
> Nottingham NG8 1BB
> Tel: +44 0115 951 4432 (Direct line)
> Tel: +44 0773 0808 353 (Mobile)
> ***************************
> -----Original Message-----
> From: maths-education-bounces at lists.nottingham.ac.uk
> [mailto:maths-education-bounces at lists.nottingham.ac.uk] On Behalf Of
> ChrisKrys7 at aol.com
> Sent: Sunday, April 15, 2007 11:42 AM
> To: maths-education at lists.nottingham.ac.uk
> Subject: Re: [Maths-Education] Teaching statistics and quantitative
> methods
>
> ********************************************************************** 
> **
> ***********************************
> This message has been generated through the Mathematics Education  
> email
> discussion list.
> Hitting the REPLY key sends a message to all list members.
> ********************************************************************** 
> **
> ***********************************
>
> In a message dated 14/04/2007 14:36:47 GMT Daylight Time,
> Peter.Gates at nottingham.ac.uk writes:
>
> I am  looking at teaching
> quantitative methods to masters students and am looking  for some  
> useful
> PowerPoint or web based resources which can dynamically  illustrate  
> such
> things as correlation, regression, factor analysis  etc.
>
>
> If you type something like regression ppt into google you get a whole
> list of powerpoints which can then be rebuilt quite easily (like
> scrapheap challenge).  Works for most topics.
>
> Best Wishes
> Doctor Chris  Day
>
>
>
>
>
> +++++++++++++++++++++++++++++++++++++++++++++++++++++++
> An international directory of mathematics educators is available on  
> the
> web at www.nottingham.ac.uk/csme/directory/main.html
> ______________________________________________
> Maths-Education mailing list
> Maths-Education at lists.nottingham.ac.uk
> http://lists.nottingham.ac.uk/mailman/listinfo/maths-education
> +++++++++++++++++++++++++++++++++++++++++++++++++++++++
> An international directory of mathematics educators is available on  
> the web at www.nottingham.ac.uk/csme/directory/main.html
> ______________________________________________
> Maths-Education mailing list
> Maths-Education at lists.nottingham.ac.uk
> http://lists.nottingham.ac.uk/mailman/listinfo/maths-education