- Teacher: Đặng Thị Thúy An
- Teacher: Hà Thế Linh
- Teacher: Đặng Thị Thúy An
- Teacher: Hà Thế Linh
- Teacher: Đặng Thị Thúy An
- Teacher: Hà Thế Linh
- Teacher: Nguyễn Minh Huân
- Teacher: Trần Đăng Kim Trang
- Teacher: Nguyễn Minh Huân
- Teacher: Trần Đăng Kim Trang
- Teacher: Nguyễn Minh Huân
- Teacher: Trần Đăng Kim Trang
- Teacher: Nguyễn Minh Huân
- Teacher: Trần Đăng Kim Trang
- Teacher: LÊ HẢI NGUYÊN
- Teacher: Sử Lê Phương Thảo
- Teacher: Nguyễn Thị Việt Nga
- Teacher: Sử Lê Phương Thảo
In this course, students will gain an understanding of the fundamentals of quantitative research design and method through applied exercises and a final exercise.
At the end of the course participants are expected to:
- Understand the basic notion of statistics in research
- Know designs used to conduct research
- Understand some key elements in research such as selection of criteria of subjects, variables, measurement scales of variables, and hypothesis
- Learn various statistical techniques used to analyze data
- Be able to interpret results and draw conclusion
Course Objectives
- 1. Understand, define and explain basic statistical concepts like sample, population, variable and attribute;
- 2. Calculate and explain Crosstabs, Chi-square tests, z-scores, confidence intervals and t-tests;
- 3. Apply and relate the general logic of inferential statistical methods, including t-tests, chi-square tests, crosstabs, and analysis of variance (ANOVA).
At the end of the course participants are expected to:
- Understand the basic notion of statistics in research
- Know designs used to conduct research
- Understand some key elements in research such as selection of criteria of subjects, variables, measurement scales of variables, and hypothesis
- Learn various statistical techniques used to analyze data
- Be able to interpret results and draw conclusion
Course Objectives
- 1. Understand, define and explain basic statistical concepts like sample, population, variable and attribute;
- 2. Calculate and explain Crosstabs, Chi-square tests, z-scores, confidence intervals and t-tests;
- 3. Apply and relate the general logic of inferential statistical methods, including t-tests, chi-square tests, crosstabs, and analysis of variance (ANOVA).
- Teacher: Ta Xuan Hoai