Gagne’s 1 & 4: Gain attention & present stimulus material
Gagne’s 2: Inform learning objectives to the students
Gagne’s 4: The use of Wordle to present stimulus material to the students
Gagne’s 1: Gain AttentionGagne’s 3: Stimulate or recall of prior knowledgeGagne’s 9: Enhance retention and transfer
Gagne’s 5: Provide learning guidance by the aids of YouTube to illustrate the calculation
Gagne’s 5: Provide learning guidance
Gagne’s 1: Gain AttentionGagne’s 9: Enhance retention and transfer
Gagne’s 6, 7,8 and 9: Elicit performance, provide feedback, assess performance and enhance retention & transfer
STF 1093 Statistics for Biology LU2: Basic Probability
Learning Objectives At the end of this learning unit, the students must be able to: Define experiment, outcome, event, probability and equally likely. Restate the formula for finding the probability of an event. Determine the outcomes and probabilities for experiments. Recognize the difference between outcomes that are equally likely and not equally likely to occur. Apply probability concepts to complete exercises.
5.1 The Meaning of Probability 3 Probability is used to describe RANDOMor CHANCESof events to occur.
Every day we are faced with probability statements involving the words: 1. What is the likelihood that X will occur? 2. What is the chance that Brazil will win the 2010 World Cup? 3. The upgrading of KuchingAirport will likely be completed on time. 4. There is a 50-50 possibilitythat an electricity trip will occur.
This model applies when the possible outcomes of an experiment are equally likely to occur.
Suppose there are N equally likely possible outcomes from an experiment.
Then the probability that a specified events equals the number of ways, f, that the event can occur, divided by the total number, N, of possible outcomes.
7 The probability is f = No. of ways event can occur N = Total number of possible outcomes. In other words, in a situation where several different outcomes are possible, we define the probability for any particular outcome as a fraction of the proportion. Example 1 http://www.youtube.com/watch?v=wuyBEhMo5ZA&feature=related
8 Example 2. A jar contains 1000 marbles, 800 are black and 200 are red. What is the probability of drawing a black marble out of the jar. Solution: Here 800 is the number of possible outcomes, f The total number of possible outcomes is 1000, N Thus the probability is and The probability of drawing a black marble is much higher than the probability of you picking a red marble because there are more black marbles in the jar.
Let’s Play!Probability Game http://www.youtube.com/watch?v=V6Ih87xLQfo
10 5.3 Basic Probability Theorems Addition Theorems If event A and event B are mutually exclusive, then P(A or B) = P(A) + P(B) A B Because event A and event B are mutually exclusive, the total coloured region equal to the sum of the two coloured disks. For mutually exclusive events Illustrated by Venn diagram More generally if events A, B,C…..are mutually exclusive, then
P(A or B or C ….) = P(A) + P(B) + P(C) + ……..
11 For non-mutually exclusive events, then (A and B) – joint occurrence (A or B) The general addition rule, If A and B are two events then P(A or B) = P(A) + P(B) – P(A and B) The general notation is Probability of A B events to occur P(A B) = P(A) + P(B) – P(A B)
Exercises for this week Check for weekly task in STF1093 Group in Facebook http://www.facebook.com/groups/140090106073688