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AS 3.6 Distributions

Distributions HOME | Achievement Criteria | Binomial | Pascals Triangle | Normal | Poisson | Revision

Achievement Standard 3.6 Distributions is a 4 Credits External Assessment

 Lesson Starters (powerpoint)

1

 

Binomial Distribution - Overview

Introduction to distributions - Guessing Cards. Reminder of normal distribution. Achievement criteria, Binomial introduction and formula. Solving binomial distribution problems using the formula.

Guess the cards | Card guessing simulation

Achievement criteria | Class notes | Blank Notes

Ex 15.01 p317

Binomial Distribution Excel

Pascals Triangle |
Distributions | Binomial Distribution | Quincunx (maths is fun website)

AIS  p116

2

 

Binomial Distribution Tables

How to using binomial tables p434
Binomial adding problems eg. Probability of x being less than 8

Class notes | Blank Notes | More examples

p322 Ex 15.02A | Ex15.02 B

The three bears | Binomial Distribution

Binomial Tables Excel |
Binomial tables Adobe (n = 1 to 20)

AIS  p117

3

 

 Harder Binomial Problems

Changing success to failure - changing π  and each 'x' value. Mixed problems and applications, including probability trees

 

Class notes | Blank Notes

p326 Ex 15.03A | B

Binomial Distribution

 AIS  p118, 119

4

 

 Mean & variance of Binomial Distribution

Calculating the mean, variance & standard deviation of a Binomial Distribution.


Poisson introduction: Ice cream

 

Class notes | Blank Notes | More examples

p330 Ex 15.04

Ice-cream | Blank Notes

Wikipedia binomial distribution notes (extn)

AIS  p120

5

 

Poisson introduction and formula

Using the poisson formula to solve problems. Using the Poisson tables p436. Adjusting λ depending on the interval length

Class notes | Blank Notes

Ex 16.01 p335

Poisson Distribution

Poisson Distribution

 AIS  p120

6

 

Poisson problems

Adding Poisson problems. Poisson mean & standard deviation. Practising mixed problems

Class notes | Blank Notes | More examples

Ex 16.02 p340 | Ex 16.03 p344 p344

AIS  p121

7

 

Inverse Poisson

Given the probability P(x = 0) and then using the formula to find λ

 

Class notes on Inverse Poisson | Blank Notes | More examples

Ex 16.04 p347

 AIS  p122

8

 

Harder Poisson problems

Problems involving probability trees and conditional probability (2 periods practice)

Class notes harder Poisson | Blank Notes

Ex 16.05 A p349 | Ex 16.05 B p349

Links:

AIS  p123, p124

9

 

Normal Distribution

An overview of different distributions
Introduction and theory of Normal Distribution
Looking up z-values in tables

Class notes, Blank Notes

p352 - 354 Using Normal tables, p438 -Appendix examples

Normal Distribution Excel

Normal Distribution PowerPoint

AIS  p125

10

 

Normal Distribution Practice

Using correct working: given a mean µ and Standard Deviation σ
    P(x > 3)
= P(z > ?) Calculate z
= 0.5 ± Table value
= Area under graph (solution)

Summary notes & examples

Ex17.01 A p358 Ex17.01 B p440 Appendix examples

 

Normal Distribution | normal distribution (woldo maths)

11

 

Continuity Correction

Applying Continuity Correction to normal distribution problems for data which has been rounded.

 

Class notes | Blank Notes

Ex17.02 p362

   AIS  p126

12

 

Inverse Normal distribution problems

Given a probability find the value of 'x' Using the normal distribution tables in reverse

 

Class notes | Blank Notes | More examples

p442-5 Appendix examples p366 Ex 17.03

 AIS  p127

13

 

Calculating mean & standard deviation

Given 'x' and a probability, calculate the population mean µ or standard deviation σ (MERIT)
Harder normal problems EXCELLENCE

Notes | Blank Notes

p369 Ex 17.04  | p372 Ex 17.05A

 

14

 

More practice of Harder normal problems p372 Ex 17.05B  

15

 

Combining random variables

Adding and subtracting two normally distributed variables and solving distribution problems (Add or subtract the Means) (Allways ADD the Variances)

Notes | Blank Notes

p377 Ex 18.01  Ex18.01_Q8-13

AIS  p128

16

 

Linear Combinations

Adding and subtracting multiples and combinations of numbers of normally distributed variables (MERIT)

Notes | Blank Notes | More examples

Ex 18.02 p380 | Ex18.02A | Ex18.02B

 

17

 

Combining distributions

Normal, Binomial and Poisson combinations ( EXCELLENCE)

Ex 18.03 p384 | Ex18.03A | Ex18.03B

AIS  p129

 

 

Revision (not done in class time)

More revision, Even more revision

Mixed Achieve Questions & Answers

Practice AssignmentSolutions

POPES 3.6 Revision Sheets 1 2 3 4 5 6 7 8 9 10 (Still being worked on)

Old exam papers

 AIS  p130 p132 p133, 134, 135

18

 

Practice Test for AS 3.3 Probability

 

Approximations
Using the normal approximation of the  Binomial and Poisson distributions when appropriate

Notes | Normal approximation | Poisson Approximation

Example

AIS  p131

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Poisson Fishing
Binomial/Poisson Graphical display of distributions
Binomial from Wikipedia
Poisson from Wikipedia
Distributions Assignment