Applied-statistics readme week 2

Tài liệu học tập môn Applied statistics (ENEE1006IU) tại Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh. Tài liệu gồm 2 trang giúp bạn ôn tập hiệu quả và đạt điểm cao! Mời bạn đọc đón xem! 
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK2.DOCX
DATE: Saturday, February 29, 2020
Week #: 2
Chapter #: Chapter 1 (cont.)
1. Objective: Students will be able to:
- Understand the concept of sample, population, census, sample survey, and statistical inference
- Memorize the ethical guidelines for statistical practice, especially the responsibilities of different
stakeholders
2. Content:
Chapter 1: Data and Statistics (cont.)
- Statistical inference:
Sample, population
Census, sample survey
Statistical inference
- Ethical guidelines for statistical practice:
Professional Integrity and Accountability
Integrity of data and methods
Responsibilities to Science/Public/Funder/Client
Responsibilities to Research Subjects
Responsibilities to Research Team Colleagues
Responsibilities to Other Statisticians or Statistics Practitioners
Responsibilities Regarding Allegations of Misconduct
Responsibilities of Employers, Including Organizations, Individuals,
Attorneys, or Other Clients Employing Statistical Practitioners 3. Activity:
No.
Duration
Lecturer
Student
1
Before this
class
Record groups and group’s number
Form the group and inform lecturer
Prepare lectures for this class
Read files: readme_week1, Introduction
and Lecture1
2
45 min.
Explain the content of the lectures (3
lectures audio+ppt)
Take notes
3
30 min.
Discussion & Answer questions (if any):
between each lecture explanation
Discussion & Ask questions (if any):
between each lecture explanation
4
After this
class
Upload assignment on Blackboard, set-up
submission deadline
Do assignment in group and submit on-
time
Record groups and group’s number (cont.’)
Form the group and inform lecturer
(cont.’)
Prepare lectures for the next class
Review Lecture1
Read files: readme_week2 and
Lecture2
1
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK2.DOCX
4. Reflection questions / Homeworks (to be submitted in group, not individual):
No.
Work
Submission Due
I
Reflection questions
March 8th, 2020
1
In “Applied-statistics_ Lecture2_part1.flv”
1.1
Discuss more about the differences between sample survey and census.
1.2
What is “degree of certainty?
2
In “Applied-statistics_ Lecture2_part2.flv”
2.1
Give an example of unethical behavior and explain.
2.2
What are the roles of assumption?
3
In “Applied-statistics_ Lecture3_part3.flv”
3.1
Why should we memorize the responsibilities of relevant stakeholders in
statistical practice?
II
Homeworks
1 day before the
next class
2.1
Download ppt files for Introduction, Lecture 2 and review at home
2.2
Prepare questions and discussion points related to Lecture 2
2.3
Download ppt files for Lecture 3 and review at home
5. Note:
- Students must submit the works by due date mentioned in Section 4. Late or no submission will be
recorded.
- Students use submission form provided by lecturer to submit answers/homeworks.
6. Reference:
- Ppt files (mandatory):
“Lecture2”
- Flv files (3 files)
- Additional materials: textbook: Chapter 1
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Preview text:

lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK2.DOCX
DATE: Saturday, February 29, 2020 Week #: 2 Chapter #: Chapter 1 (cont.)
1. Objective: Students will be able to: -
Understand the concept of sample, population, census, sample survey, and statistical inference -
Memorize the ethical guidelines for statistical practice, especially the responsibilities of different stakeholders 2. Content:
Chapter 1: Data and Statistics (cont.) - Statistical inference: • Sample, population • Census, sample survey • Statistical inference -
Ethical guidelines for statistical practice: •
Professional Integrity and Accountability • Integrity of data and methods •
Responsibilities to Science/Public/Funder/Client •
Responsibilities to Research Subjects •
Responsibilities to Research Team Colleagues •
Responsibilities to Other Statisticians or Statistics Practitioners •
Responsibilities Regarding Allegations of Misconduct •
Responsibilities of Employers, Including Organizations, Individuals,
Attorneys, or Other Clients Employing Statistical Practitioners 3. Activity: No. Duration Lecturer Student 1
Before this Record groups and group’s number
Form the group and inform lecturer class
Prepare lectures for this class
Read files: readme_week1, Introduction and Lecture1 2 45 min.
Explain the content of the lectures (3 Take notes lectures audio+ppt) 3 30 min.
Discussion & Answer questions (if any):
Discussion & Ask questions (if any):
between each lecture explanation
between each lecture explanation 4 After this
Upload assignment on Blackboard, set-up
Do assignment in group and submit on- class submission deadline time
Record groups and group’s number (cont.’) Form the group and inform lecturer (cont.’)
Prepare lectures for the next class Review Lecture1 Read files: readme_week2 and Lecture2 1 lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK2.DOCX
4. Reflection questions / Homeworks (to be submitted in group, not individual): No. Work Submission Due I Reflection questions 1
In “Applied-statistics_ Lecture2_part1.flv”
1.1 Discuss more about the differences between sample survey and census.
1.2 What is “degree of certainty? 2
In “Applied-statistics_ Lecture2_part2.flv” March 8th, 2020
2.1 Give an example of unethical behavior and explain.
2.2 What are the roles of assumption? 3
In “Applied-statistics_ Lecture3_part3.flv”
3.1 Why should we memorize the responsibilities of relevant stakeholders in statistical practice? II Homeworks 1 day before the
2.1 Download ppt files for Introduction, Lecture 2 and review at home next class
2.2 Prepare questions and discussion points related to Lecture 2
2.3 Download ppt files for Lecture 3 and review at home 5. Note: -
Students must submit the works by due date mentioned in Section 4. Late or no submission will be recorded. -
Students use submission form provided by lecturer to submit answers/homeworks. 6. Reference: - Ppt files (mandatory): • “Lecture2” - Flv files (3 files) -
Additional materials: textbook: Chapter 1