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Thanks to K

12/16/2013

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Keep the faith it is nearly Christmas!
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December 11th, 2013

12/11/2013

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Today we looked at 2 questions from 3.5 and briefly introduced the normal curve which we will meet in 3.6.
tt5_3.5_and_3.6_normal_curve_11-12-13.pdf
File Size: 301 kb
File Type: pdf
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The smiley face is 50 years old this year!
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December 10th, 2013

12/10/2013

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Today we decided that the exam questions for Christmas would come from the Sample Papers 1-5.
tt5_3.4_independent_events_10-12-2013.pdf
File Size: 115 kb
File Type: pdf
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After correcting HW questions (above) we started Section 3.4 Probability questions that involved permutations and combinations (below).
tt5_3.5_probability_with_combinations_and_permutations_10-12-2013.pdf
File Size: 464 kb
File Type: pdf
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December 09th, 2013

12/9/2013

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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)
Exam Layout LC 2014
We considered some Bernoulli trial questions from 3.3
tt5_3.3_bernoulli_trials_9-12-2013.pdf
File Size: 188 kb
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We then looked at how to tell if 2 events were independent from section 3.4

HW - Questions from 3.4
tt5_3.4_independent_events_9-12-2013.pdf
File Size: 764 kb
File Type: pdf
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December 06th, 2013

12/6/2013

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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
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k = no. of successes
p = probability of success
q = probability of fail
n = number of trials
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December 05th, 2013

12/5/2013

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Section 3.2 Expected Value
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December 04th, 2013

12/4/2013

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3.1 Tree diagrams
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December 02nd, 2013

12/2/2013

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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).
tt5_1.7_conditional_probability_2-12-2013.pdf
File Size: 3558 kb
File Type: pdf
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