2301286 PROB STAT

Course Number 2301286
Course Credits3 (3-0-6)
Course AbbrviationPROB STAT
Course Title (TH)ความน่าจะเป็นและสถิติ
Responsible UnitFaculty of Science, Department of Mathematics and Computer Science
Type of CourseInternational Course
SemesterIntl 1st semester
Academic Year2024
Course Coordinator
Measurement Method
Type of CourseSemester Course
Course ConditionPRER 2301113 or 2301107 or 2301117
Course StatusRequired
Instructors / staffs
Enrollment conditionsNone
Degree levelBachelor
Related curricularBachelor of Science in Biotechnology (2562)
Bachelor of Science in Biotechnology (2567)
Course description (TH)แนวคิดพื้นฐานเกี่ยวกับความน่าจะเป็น การแจกแจงความน่าจะเป็น การแจกแจงที่สําคัญจากการสุ่มตัวอย่าง การประมาณค่าการทดสอบสมมติฐาน การวิเคราะห์ความแปรปรวน การถดถอยและสหสัมพันธ์ การแจกแจงไคสแควร์กับการวิเคราะห์ความถี่ สถิติไม่ใช่พารามิเตอร์
Course description (EN)Basic probability concepts; probability distributions, some important sampling distributions; estimation, hypothesis testing; analysis of variance; regression and correlation; the chi-square distribution and the
analysis of frequencies; non-parametric statistics.
Curriculum mapping/CU-1.1: Behavioral Objectives Possessing well-rounded knowledge
/CU-1.2: Possessing in-depth knowledge
CU-2.1: Being moral and ethical
CU-2.2: Having an awareness of etiquette
/CU-3.1: Being able to think critically
/CU-3.2: Being able to think creatively
/CU-3.3: Having skills in problem solving
/CU-4.1: Having professional skills
/CU-4.2: Having communication skills
/CU-4.3: Having skills in information technology
/CU-4.4: Having mathematical and statistical skills
CU-4.5: Having management skills
/CU-5.1: Having an inquiring mind
/CU-5.2: Knowing how to learn
CU-5.3: Having leadership qualities
CU-5.4: Maintaining well-being
CU-5.5: Being community-minded and possessing social responsibility
CU-5.6: Sustaining Thainess in a globalized world
/subPLO1.1 Explain biotechnology knowledge in practice.
/subPLO1.2 Analyze biotechnology knowledge in practice.
subPLO1.3 Apply biotechnology knowledge in practice.
/PLO2 Employ biotechnology-related technology and scientific tools.
PLO3 Communicate effectively in English within the Biotechnology field.
PLO4 Demonstrate behavior that aligns with ethical principles, moral values, and professional ethics.
PLO5 Demonstrate social responsibility, courage, and creativity.
Course learning outcome (CLO)1.
#DateTimeLearning contentInstructorCLORemark
1Introduction + Explaining Course Syllabus + Probability
Discrete Random Variavles and Probability Distributions
3Discrete Random Variavles and Probability Distributions
Discrete Random Variavles and Probability Distributions
4AJ Monchai is away for conference, but the lecture VDO will be provided
5Continuous Random Variables and Probability Distributions
Continuous Random Variables and Probability Distributions
6Random Samples and the Central Limit Theorem
Random Samples and the Central Limit Theorem
7Review for Midterm Exam
Review for Midterm Exam
9Introduction to Satatistics, Exploration Data Analysis with R
Confidence Intervals Based on a Single Sample
10Confidence Intervals Based on a Single Sample
Test of Hypotheses Based on a single sample
11Test of Hypotheses Based on a single sample
Inferences based on Two Samples
12Inferences based on Two Samples
Inferences based on Two Samples
13Sample Linear Regression and Correlation
Sample Linear Regression and Correlation
14Analysis of Variance
Goodness of Fit Tests and Categorical Data Analysis
15Review for Final Exam
Review for Final Exam
Teaching/learning mediaCourse homework and resources (e.g., course syllabus, lecture notes, homework, etc.) will be provided on the Mycourseville course site. More details will be provided in class.
Communication channels / LMS
TypeChannel identifier / URLRemarks
Learning Management System (LMS)
Assessment methodLevel of assessmentRelated CLOPercentage
Homework & Quizzes40 %
Mid-term examination30 %
Final examination30 %
GradingGrading SystemLetter Grad (A-F)
Grading methodCriterion-referenced Grading (อิงเกณฑ์)
Minimum Passing Level (MPL)35
Reading list
TextbookDevore, Jay L. Probability and Statistics for Engineering and the Sciences. Cengage learning,
TextbookBluman, Allan. Elementary Statistics: A step by step approach 9e. McGraw Hill, 2014.
TextbookRosner, Bernard. Fundamentals of biostatistics. Cengage learning, 2015.
TextbookMcClave, James T., et al. Statistics for business and economics. Boston: Pearson, 2014.
TextbookChihara, Laura M., and Tim C. Hesterberg. Mathematical statistics with resampling and R.
John Wiley & Sons, 2022.
Course evaluationCourse evaluation system
Details of improvement from previous evaluation
Course quality controlResponses to complaints / petitions from students