Archive for January, 2009

Week 15 — Continuous Distribution (Normal); Sampling Distribution

Thursday, January 29th, 2009

In week 15, the following topics were discussed:

  1. Continuous Distribution – Expressed in terms of function, probability is found using integration, Expected Value E(X), Variance VAR(X)
  2. Special Distribution — Normal
    - symmetrical bell shape curve
    - 2 parameters (μ, σ2), where μ is the population mean, and σ is the population standard deviation
    - to find the probability, we need to use the Standard Normal table Z ~ N(0,1) where Z = (X – μ)/σ
  3. Sampling Distribution of the Mean
    - distribution of all the sample mean,  X bar
    - If X ~ N(μ, σ2), then   X bar ~ N(μ, σ2/n)
    - to find the probability, we need to use the Standard Normal table Z ~ N(0,1) where Z = ( X bar – μ)/(σ/\sqrt{\ } \!\,n)

 

The materials used during lecture and tutorial lessons can be found below:

Wk 15 Continuous Distribution (handout)

Wk 15 Sampling Distribution (handout)

Wk 15 Tutorial 11

Week 14 — Discrete Distribution (Binomial, Poisson)

Thursday, January 29th, 2009

In week 14, the following topics were discussed:

  1. Discrete Distribution – Expressed in the form of a table, Expected Value E(X), Variance VAR(X)
  2. Special Distribution — Binomial
    - 2 outcomes, namely success/failure
    - 2 parameters (n, p), where n is the number of trials, p is the probability of success
  3. Special Distribution — Poisson
    - average number of outcome per time interval or per specified region
    - 1 parameter (λ Lambda), where λ is the average number of outcome
    - Note that λ value will need to be changed according to situations

The materials used during lecture and tutorial lessons can be found below:

wk14 Discrete Distribution (handout)

wk14 Speical Discrete Distribution (handout)

wk 14 Tutorial 9-10

Common Test Timetable for week 16/17

Friday, January 16th, 2009

The common test timetable for wk 16/17 is attached below:

DECC-DMIT wk 16-17 Common Test Timetable

Week 13 — Conditional Probabilities & Descriptive Statistics

Monday, January 12th, 2009

In week 13, the following topics were discussed:

  1. Probability (Addition and Multiplication Rules)
  2. Conditional Probability
  3. Descriptive Statistics
    - Graph
    - Measure of Location (Mean/Median/Mode)
    - Measure of Dispersion (Range/Variance/Standard Deviation)
    - Measure of Skewness (Symmetry/Positively Skewed/Negatively Skewed)

The materials used in lecture and tutorial lessons can be found below:

Wk 13 Probabilities (handout2)

Wk 13 Probabilities (handout3)

Wk 13 Tutorial 9

Wk 13 Descriptive Statistics

An interesting link for the assignment on probability puzzle: Game Show: Lets Make a Deal

Week 12 — Probability

Monday, January 5th, 2009

In week 12, the following topics were discussed:

  1. Sample Space and Event
  2. Set Theory
  3. Introduction to Probability

The materials used in lecture can be found below:

wk12 -Probabilities (handout1)