Silaby of Probability Theory - 11 : Bernoulli and binomial distributions

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 special discrete distributions
6.	Achievement Indicator	:

a)   Student can solve problems related to Bernoulli and binomial distributions

b)  Student  can  find  the  expectation,  variances  and  the  moment  generating  function  from

Bernoulli and binomial distribution

7.  Material                                          : Bernoulli and binomial distributions

8.  Lecture Activity                             : 11

Step Component	Activity	Duration	Method	Media	References
Introduction	Explain briefly the material (special discrete distirbutions)	20’	Discussion    and Exercise	LCD, white/black board	A: 91-124 B: 126-232
Main Activities	1.Explain Bernoulli distribution 2.Explain binomial distribution 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