View Syllabus Information

View Syllabus Information

  • Even after classes have commenced, course descriptions and online syllabus information may be subject to change according to the size of each class and the students' comprehension level.

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Course Information

Year 2017  School School of International Liberal Studies
Course Title
Introductory Statistics A 11

Instructor BERRAR, Daniel Peter
Term/Day/Period spring semester  Wed.5
Category Introductory Statistics Eligible Year 1st year and above Credits 2
Classroom 3-406 Campus waseda
Course Key 210GE12200 Course Class Code 11
Main Language English
  Course Code STAX101L
First Academic disciplines Statistics
Second Academic disciplines Statistics
Third Academic disciplines Statistics
Level Beginner, initial or introductory Types of lesson Lecture

Syllabus Information

Latest Update:2017/07/14 08:37:02

Subtitle Introductory Statistics A (English)
Course Outline The course is designed to provide students with the ability to understand and use basic statistical concepts and methods. The beginning of the course explores statistical data summaries, data organization, and how to draw conclusions from data. Additional topics covered include random variables, least-squares regression line, probability rules, point estimation and confidence intervals.
Objectives By the end of the semester students should be able to meet the following objectives:

* to interpret data by means of pictorial, graphical and tabular representations,
* to demonstrate a knowledge of probability and identify distributions, and
* to select appropriate techniques covered in the course to solve given statistical problems.
Course Schedule (tentative)
[Class 1] 1.1 - 1.5 variables, graphs for categorical and quantitative data
[Class 2] 2.1 - 2.3 measures of center and variability
[Class 3] 2.6, 2.7, 3.1, 3.3 percentile, box plot, scatter plots
[Class 4] 3.4, 4.1, 4.2 correlation coefficient, least-squares line, sample space
[Class 5] 4.3, 4.5 calculating probabilities, event relations, probability rules
[Class 6] 4.6, 4.8 independence, conditional probability, probability distributions
[Class 7] 5.1, 5.2 the binomial probability distribution
[Class 8] midterm examination
[Class 9] 6.1 - 6.3 continuous random variables, the normal probability distribution
[Class10] 7.1, 7.3, 7.4 sampling distributions, the central limit theorem
[Class11] 7.5, 7.6 sampling distributions of the sample mean and sample proportion
[Class12] 8.1 - 8.4 point estimation
[Class13] 8.5, 8.9 interval estimation, choosing the sample size
[Class14] revision
[Class15] final examination
Textbooks “Introduction to Probability and Statistics” (14th Edition - International Edition)
Mendenhall, W., Beaver, R.J. and Beaver, B.M.
Brooks/Cole (2013)

(Note: If you purchase a textbook at the Co-op Bookstore on Waseda Campus, it includes a bundle item called Coursemate which can be accessed online. This includes e-book of the above title as well as study resources for each chapter. This bundled Coursemate we offer is that of US Edition since it is more powerful and functional.)
Evaluation The final course grade will be determined by your performance as measured by the higher of the following two calculations (tentative):

(1) final examination 45%
midterm examination 35%
assignments/quizzes 10%
attendance 10%

(2) final examination 60%
midterm examination 40%

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