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.