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Feb 09

I’m busy making some videos for the Poisson Distribution, the first one is here. It is best viewed full screen.

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Here’s another that shows how the cumulative distribution table can be used to solve problems…

This video has a nice explanation of why you might want to use the Poisson distribution

Feb 01

Your challenge is to work collaboratively to create a booklet that explains the cumulative binomial distribution table, and how it is used to solve problems.

Your deadline to hand in the finished booklet is Wednesday 8th Feb. It will then be available for other students to borrow from the Post 16 library.

Your booklet should include the following:

  • An introduction to Binomial Distributions
  • The first section (n=5) of the  Cumulative Binomial distribution table that you have made (not copied from another source)
  • How to calculate the Expected Value and Variance from a Binomial Distribution
  • A range of problems with well explained solutions

 

 Every member of your group must contribute to the booklet.

It is important that when questioned you can describe the skills that you are using – not just mathematical skills but the wider ones such as collaboration, creative thinking and managing a project.

I have created a youtube channel called mostlymathematics and added three videos that might be useful. The videos are best watched on full screen.

These videos are also available on the I drive I:\Maths\Mr Stott\S2

Good Luck!

http://www.youtube.com/user/MostlyMathematics

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NS

May 27

1. Research a famous mathematician and his/her impact on mathematics.

OR

2.  Research a piece of mathematics and it’s impact on the real world.

Success Criteria

You could decide to create either a presentation or video to be delivered to your class in the last week of term, or write a report of 1000 – 1500 words.

You should reference the research you have done. Include a bibliography and a list of websites that you have looked at.

Don’t copy and paste! Synthesise the informations and write in your own voice.

Your work should be fun and stimulating for other students. Use images, diagrams and activities where appropriate.

Deadline

Your deadline is the first lesson of Year 13 in the week beginning 18th July.

May 11

Continue reading »

May 09

Here is a scan of my Key Facts sheet with all the formulae you need for the C1 to C4 modules…

Key Facts C1 to C4

Apr 27

Read through the start of chapter 8 on discrete random variables and then do Ex 8A.

Please hand in your S1 paper, leave it on table in my office and I’ll mark it over the weekend.

NS

Apr 07

Students in both 12C2 and 12D2 were given the January 2010 S1 paper  in lessons this week. You should do all of the questions except 5 and 7, to be submited in the first week back after the Easter Holidays.

Extra papers going back to 2004 are on the I drive I:\Maths\Alevel\Past Papers\

Over the Easter break you should also work through the following problems….

Review Exercise 1  P108

Mixed Exercise 6E P129

Mixed Exercise 7D  P146

 The formula book for all the Edexcel GCE maths modules is here

N38210A-GCE-Mathematical-Formulae-Statistical-Tables

You will be relieved to see most of the formulae we have used are included!

Finally, I will be available for S1 D1, FP1, and C2 revision on both Tuesday and Thursday evenings until the exam, except for Thursday 28th April.

NS

Mar 04

12 C2 and 12D2

Work through section 4.7 on comparing the distributions of data sets and do Ex4G. In the second lesson please do the Mixed Ex 4H at the end of chapter 4. Have this to hand in next lesson.

12B/Fm

Finish the work from yesterday. If you are ready to move on to the next thing then read through section 6.5 on solutions with integer values and do Ex6D.

Mar 03

Please read through section 4.6 on skewness and do Ex 4F.

NS

Mar 03

Further Maths

We have looked at how to formulate a Linear problem. This morning, can you work through section 6.2 and then do ex 6B on drawing the feasible region.

You should then work through section 6.3 on using the ruler method to  find the optimal point in the feasible region and do Ex 6C.

NS