Silaby of Probability Theory - 21 : Conditional distributions and random samples

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.  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.  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.