Students should be able to:
This probability and statistics teacher resource deals with binomial and normal distribution. The use of combinations to solve problems which may be modeled on Bernoulli Trials are shown. The application of normal distributions for making statements about a population is looked at, including the use of standard normal tables and z-scores.
View full descriptionStrand: 1. Statistics & Probability
Strand unit: 3. Outcomes of Random Process
Suggestions for use: This resource provides an additional set of notes, problems and worked solutions for teachers to use and share with students when teaching LC probability.
This Khan Academy presentation consists of a compilation of short videos on the Binomial Distribution. Video 1 Binomial variables explains the conditions for a Bernoulli Trial
Video 2 Recognizing Binomial variables explains how to identify a Bernoulli trial
Video 7 Binomial Problem Example, explains how to develop and apply the binomial distribution formula
Video 8 Generalizing k scores in n attempts
Strand: 1. Statistics & Probability
Strand unit: 3. Outcomes of Random Process
Suggestions for use: These compilation of video resources can be used to enhance student understanding of Bernoulli trials. They explain the conditions for a Bernoulli trial and explore how the distribution formula can both be developed and applied to problems.
A selection of SEC Paper 2 exam questions presented in order of difficulty
View full descriptionStrand: 1. Statistics & Probability
Strand unit: 3. Outcomes of Random Process
Suggestions for use: To assess student understanding and application of knowledge to problem solving exercises.
A selection of paper 2 exam questions on Bernoulli trials, presented in order of difficulty.
View full descriptionStrand: 1. Statistics & Probability
Strand unit: 3. Outcomes of Random Process
Suggestions for use: To assess student understanding and application of knowledge to problem solving.
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