1.
|
Faculty /Study Program
|
: MIPA/Mathematics
Education
|
2.
|
Subject
& Code
|
: Elementary Statistics,
MAA 306
|
3.
|
The number of SKS
|
: Theory : 2 sks
Practice : 1 sks
|
4.
|
Semester
and Duration
|
: II, Duration : 100 minutes
|
5.
|
Based
Competency
|
: Understanding the
concepts of conditional probability,
|
independent event,
and Bayes theorem
6. Achievement Indicator :
a) Student can explain the concepts of conditional probability, independent event, and Bayes
theorem
b) Student solve probability problem by conditional probability, independent event and Bayes theorem
7.
Material : Conditional
probability, independent event, and Bayes theorem
8. Lecture Activity :
12
Step
Component
|
Activity
|
Duration
|
Method
|
Media
|
References
|
Introduction
|
Explain
briefly the material of
probability
|
20’
|
Discussion
and
Exercise
|
LCD,
white/black
board
|
A: 118-176
B: 181-243
|
Main
Activities
|
1. Explain
the concept of
conditional probability
2. Explain the
definition of
independent event
3. Explain Bayes theorem
4. Do exercise
and discuss the
results
|
60’
|
|||
Closing
Activity
|
Conclude the entire materials and
give tasks
|
10’
|
|||
Further
Activities
|
Invite the students to ask or give an
opinion about the materials
|
10’
|
9. Evaluation
The evaluation is
performed based on
the student activities
in discussion, doing exercise.
10. References
A. Triola,
Mario F. 2004. Elementary
Statistics. New York: Addison-Wesley.
B. Weiss,
Neil A. 1995. Introductory
to Statistics. New
York:
Addison-Wesley.
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