Binomial meets Poisson

'Tis the season to be jolly. Fa la la la la, la la la la. (We will remember him.)

There will be a mini-test on Binomial and Poisson in your first lesson back.

Task 1
Here's some questions on Binomial and Poisson to consolidate what you've learnt so far:
Ex 1C page 19 Q11, 13
Ex 1D page 22 Q6
Ex 1E page 27-29 Q11, 15, 17

Task 2
Read notes page 29-30 and/or watch these videos (for Ex 1F) and read page 32-33 (for Ex 1G), then do:
Ex 1F page 31 Q1-4
Ex 1G page 34 Q1-2

Task 3
Finally... practice using the normal distribution from S1. Try a few of these exam questions from exam solutions to remind you. We will be using the normal distribution very soon in S2!

deadline: Friday 5th January

The Poisson Distribution

Bonjour mathématiciens!

Je t'aime statistiques! Ah oui!

Consolidate Binomial Distribution questions: Ex 1C Q9,10 page 18 Optional challenge: Q14 page 19, Q6 page 22

Read the notes page 22-26 on the Poisson Distribution and/or watch this video.

Complete Ex 1E Q1,3,5,8 page 26-27

Make sure that you can confidently use the Poisson tables. They are in the formula booklet after the Binomial tables and also in the back of the textbook.

Deadline: Friday 1st December

Bonne chance!


Stickers and respect for anyone who translates this quote into French.

Au revoir!

The Binomial Distribution 2: Mean and Variance

Hello again Statisticians!

Task 1

Read page 20-21, then complete:

Ex 1D page 21
Q1 and Q2

This video is about mean and variance too. I recommend watching it.

Task 2

Watch these videos about how to use the cumulative probability tables. Make notes if you want to, or pause and try stuff out using the tables in the back of your textbook.


Deadline: Friday 24th November

The Binomial Distribution 1

Hello statisticians!

Here is your first task...

Ex 1A page 10

Ex 1B (even number questions only) page 12

Ex 1C Q1-7 page 17-18

Mark and correct your work in a different coloured pen.

Read the notes in the textbook page 7-17 or watch these tutorial videos from the brilliant examsolutions man.

Please do leave comments with questions, or with tips that might support your fellow statisticians.

Deadline: Wednesday 8th November