Today we looked at 2 questions from 3.5 and briefly introduced the normal curve which we will meet in 3.6.

Today we discussed the Christmas Exam and general exam layout for LC 2014.

The Christmas Exam may include:

• Strand 4: Algebra 1 & 2 (only)
• Strand 1: Probability (only)
• Strand 2: Geometry (all)
• Strand 3: Area, Volume (only)

We considered some Bernoulli trial questions from 3.3

We then looked at how to tell if 2 events were independent from section 3.4

HW - Questions from 3.4

Section 3.3 Bernoulli trials also known as Binomial Distribution (Log Tables p. 33)

Binomial distribution applies when:

• There is a set number of trials
• There are only 2 possible outcomes - success and fail
• The probabilities for each outcome is constant throughout 
• The events are independent

k = no. of successes
p = probability of success
q = probability of fail
n = number of trials

3.1 Tree diagrams

Today we started conditional probability section 1.7. P(A|B) "probability of A given that B has already happened" is not the same as P(A\B) "probability of A happening without B happening (A less B)" sorry for confusion around this! To support HW in this section I have uploaded class notes with explanatory solutions to  all the questions in this section (linked below).