1.
Faculty /Study Program
: MIPA/Mathematics Education
2.
Subject & Code
: Probability Theory, MAA 317
3.
The number of SKS
: Theory : 2 sks  Practice : 1 sks
4.
Semester and Duration
: IV, Duration : 100 minutes
5.
Based Competency
: To understand conditional distributions and random samples
6.
Achievement Indicator
:
c)   Student can explain conditional distributions and random samples
d)  Student can solve problems related to conditional distributions
7.  Material                                          : Conditional distributions and random samples
8.  Lecture Activity                             : 21

Step
Component
Activity
Duration
Method
Media
References
Introduction
Explain     briefly     the     material
(conditional probability)
20’
Discussion    and
Exercise
LCD, white/black
board
A: 137-160
B: 244-293
Main
Activities
1.  Explain conditional distributions
2.  Explain random samples
3.  D exercis an 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.  Bain, Lee J. & Engelhardt, Max. 1992. Introduction to Probability and Mathematical Statistics. Belmont: Duxbury Press.
B.  Ross, Sheldon M. 1998. A First Course in Probability. New Jersey: Prentice-Hall.


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