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Statistics Computer Application COURSE SYLLABUS I. Course Objective The purpose of this course is to give students, primarily those in the fields of business administration and economics, a conceptual introduction to the field of statistics and its many applications. The text we use is applications oriented and written with the needs of the non mathematician in mind; the mathematical pre requisite is knowledge of algebra. Statistical Analysis develops and applies the basic concepts and methods of statistical in the organization and presentation of business data. Participants develop basic applied skills in the areas of elementary probability, measures of central tendency and variation, tests of statistical significance, sampling, and simple linear regression and correlation. The course stresses the role of statistics in interpreting business data and using the interpreted data in the decision making process. II. Method of Instruction The Instructor will rely on lectures, class participation, in- class quizzes, and group activities in presenting the material. Students are expected to have read the assigned material and worked problems provided at the end of each major section and chapter prior to the designated class time. Students should work a sufficient number of the problems to be comfortable with the concept being presented. Students having difficulties understanding the concept should pay particular attention to the problems labeled Self-Test in the textbook. Students are encouraged to bring a calculator -- preferably a laptop/notebook -- to class to ease calculations during lectures, quizzes, and examinations. III. Textbook The primary textbook for the course is:

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Page 1: Silabus Aplikasi Komputer Statistik

Statistics Computer Application

COURSE SYLLABUS

I. Course Objective

The purpose of this course is to give students, primarily those in the fields of business administration and economics, a conceptual introduction to the field of statistics and its many applications. The text we use is applications oriented and written with the needs of the non mathematician in mind; the mathematical pre requisite is knowledge of algebra.

Statistical Analysis develops and applies the basic concepts and methods of statistical in the organization and presentation of business data. Participants develop basic applied skills in the areas of elementary probability, measures of central tendency and variation, tests of statistical significance, sampling, and simple linear regression and correlation. The course stresses the role of statistics in interpreting business data and using the interpreted data in the decision making process.

II. Method of Instruction

The Instructor will rely on lectures, class participation, in-class quizzes, and group activities in presenting the material. Students are expected to have read the assigned material and worked problems provided at the end of each major section and chapter prior to the designated class time.Students should work a sufficient number of the problems to be comfortable with the concept being presented. Students having difficulties understanding the concept should pay particular attention to the problems labeled Self-Test in the textbook. Students are encouraged to bring a calculator -- preferably a laptop/notebook -- to class to ease calculations during lectures, quizzes, and examinations.

III. Textbook

The primary textbook for the course is:

Anderson, Sweeney, and Williams, Statistics for Business and Economics, 11e.

Additional reading and problem materials will be provided.

IV. Lecture and Examination Schedule

We will attempt to proceed according to the following schedule. Attendance at the lectures is mandatory. All absences must be discussed with the professor in advance. Absences from examinations is strongly discouraged (if not prohibited) and allowed in only the worst of personal circumstances. Each class session is 150 minutes in duration. Fourteen (14) class sessions plus a midterm examination and a final examination period are scheduled.

** Tentative Schedule **

Session

Topic Chapter

1 Introduction, Data and Statistics Analysis using SPSS

Page 2: Silabus Aplikasi Komputer Statistik

2 Descriptive Statistics3 Inference About Means and proportions with two population 104 ANOVA 135 Nonparametrics Methods 196 Quizzes7 Regression & Classic Assumption Requirement 158 Midterm Examination9 Research using primary data (survey research)10 Creating instrument research11 Validity, reliability test factor analysis12 Hypothesis test using regression for primary data13 Hypothesis test using moderating variable14 Hypothesis test using mediating variable15 Presentation of students for their tasks16 Final Test

V. Grading

Your grades for the two courses will be determined as follows:

10% Partisipation15% Structured Tasks25% Quizzes Grade25% Midterm Examination Grade25% Final Examination Grade

Instructor: I.Subekti, PhD., M,Si., Ak.E-mail address: [email protected]: 081515898151 (SMS, WhatsApp)