• Welcome to choose this class. More information will come in late summer 2021.

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• 2021 Fall, Auburn University
• Contacts
• Course description
• Textbook
• Coverage
• Co-requisite
• Prerequisite
• Homework
• Midterm test
• Due dates for homework and tests
• Final exam
• Attendance
• Assessment
• Slides
• Tentative schedule
• Gradescope
• Feedback
• Honor code
• Accessibility
• Harassment and Discrimination
• Acknowledgement

Lecture Instructor	Dr. Le Chen
Email	le.chen@auburn.edu
Class Time	MWF, 12:00 PM -- 12:50 PM
Class Room	PARKR 305
Office hours	MWF, 13:00 -- 13:50

• When you send us emails, please do include the keyword STAT 3610 in the subject field of your email to ensure a timely response.

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Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Statistics is a highly interdisciplinary field; research in statistics finds applicability in virtually all scientific fields and research questions in the various scientific fields motivate the development of new statistical methods and theory.

This course is the second course of the two-semester sequential courses -- STAT 3600 and STAT 3610. In the previous course we studied probability, which lays foundation for this course. In this course, we will study some fundamental ideas in statistics and various tools in statistical inference. In particular, we will cover parameter estimation, hypothesis testing, linear regression, analysis of variance (ANOVA) and various nonparametric counterparts. We will introduce and mostly use the R for data analysis. We may also use the statistical Python depending on students' request.

• "Probability and Statistical Inferences", by Hogg, Tanis and Zimmerman, 10th Ed.
• 

The book consists of nigh chapters, we will cover most parts of the following four chapters:

• Chapter 6. Point Estimation
• Chapter 7. Interval Estimation
• Chapter 8. Test of Statistical Hypothesis
• Chapter 9. More Tests

• STAT-3611: Probability and Statistics II Lab. This is the computer lab and homework component
  for STAT-3610. The instructor for this lab will coordinate his/her coverage with the instructor
  for STAT-3610 course. All exercises, tutorials and instructions will be directed towards helping
  you work problems related to STAT-3610, as well as, using R for data analysis. All computer
  related materials will be covered by the lab instruction.

  Course	Classroom	Day/Time	Instructor
  STAT-3611-155	TBA	TBA	TBA

• STAT 3600: Probability and Statistics I. The students coming into STAT 3610 are expected to have
  a basic understanding of the prerequisite material, particularly definitions, applications and
  derivations covered in STAT 3600, including Chapters 1-5 of the textbook. Recall, both STAT 3600
  and 3610 are calculus based courses, so the students are expected to be able to do basic calculus
  (integration, differentiation and summations) while working with probability distributions (area
  under the curve, expectations, population variances, etc). A lack of these prerequisite math and
  stat skills will greatly hinder a student in this course.

In order to successfully master the material and complete the course, you are expected to

• Read the textbook and attend lectures.
• Take the advantage of the office hours, which give you additional chance to interact with the
  instructor.
• Complete and submit weekly homework through Gradescope.
• Read solutions and any feedback you receive for each problem set.
• Complete both midterm test and the final exam.
• Use appropriate etiquette and treat other students with respect in all discussions.
• Do not hesitate to ask for help whenever needed.

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Note: The syllabus was created in March 2021, and it is subject to changes during the semester.

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• There will be about 12 weekly homework assignments scheduled as follows:

  Releasing	Due at
  Friday 6:00pm CST	The following Friday, 6pm CST

• No late homework will be accepted.
• You need to write details of some problems and upload your solutions to gradescope.
• The lowest grade will be dropped, that is, the final score for the homework will be averaged over the rest HWs.
  • Note that the drop policy is not a bonus. It aims at accounting for all circumstances such as
    sickness, injuries, family emergencies, religion holidays, etc.

• There will be one midterm test during the class session:

  	Date/Time	Coverage
  Midterm Test	Oct. 01 Friday	Chapters 6 -- 7
  Final Exam	TBA	Chapters 6 -- 9, comprehensive

• Please note down the above dates. No late exam/test will be given.
• More details will come during the semester.

• Here are a list of due dates for 12 homeworks and one midterm test.

  Week	Friday	Homework		Others
  Week 1	08/20 6pm CST	HW01 releases
  Week 2	08/27 6pm CST	HW02 releases	HW01 is due
  Week 3	09/03 6pm CST	HW03 releases	HW02 is due
  Week 4	09/10 6pm CST	HW04 releases	HW03 is due
  Week 5	09/17 6pm CST	HW05 releases	HW04 is due
  Week 6	09/24 6pm CST	HW06 releases	HW05 is due
  Week 7	10/01 6pm CST		HW06 is due	Midterm Test
  Week 8	10/08 6pm CST			Fall Break
  Week 9	10/15 6pm CST	HW07 releases
  Week 10	10/22 6pm CST	HW08 releases	HW07 is due
  Week 11	10/29 6pm CST	HW09 releases	HW08 is due
  Week 12	11/05 6pm CST	HW10 releases	HW09 is due
  Week 13	11/11 6pm CST	HW11 releases	HW10 is due
  Week 14	11/18 6pm CST	HW12 releases	HW11 is due
  Week 15	11/25 6pm CST			Thanksgiving break
  Week 16	12/02 6pm CST		HW12 is due

• Final exam will be cumulative.
• More details will come later.

• We will check the attendance randomly during the semester but not at each class meeting.
• Attendance will not directly counted into your final score.
• But sufficient attendance will make your eligible for grade curving at the end of semester.

• The final score will be determined as follows:
• 
• Based on the final score (plus potential bonus points), the final letter grade will be
  determined as follows:

  Grade (+)		Grade		Grade (-)
  		A	92%-100%	A-	90%-91.9%
  B+	87%-89.9%	B	82%-86.9%	B-	80%-81.9%
  C+	77%-87.9%	C	72%-76.9%	C-	70%-71.9%
  D+	67%-67.9%	D	67%-67.9%	D-	60%-61.9%
  		F	0%-59.9%

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• Slides will be updated constantly throughout the semester and please check the time stamp on the front page.
• I strongly encourage you to study in advance.

  Chapter/Section	Slides	Slides
  Chapter 6: Point Estimation	presentation	handout
  6.1 Descriptive Statistics	presentation	handout
  6.2 Exploratory Data Analysis	presentation	handout
  6.3 Order Statistics	presentation	handout
  6.4 Maximum Likelihood and Method of Moments Estimation	presentation	handout
  6.5 A Simple Regression Problem	presentation	handout
  6.6 Asymptotic Dsitributions of Maximum Likelihood Estimators	presentation	handout
  6.7 Sufficient Statistics	presentation	handout
  6.8 Bayesian Estimation	presentation	handout
  Chapter 7: Interval Estimation	presentation	handout
  7.1 Confidence Intervals for Means	presentation	handout
  7.2 Confidence Intervals for the Difference of Two Means	presentation	handout
  7.3 Confidence Intervals for Proportions	presentation	handout
  7.4 Sample Size	presentation	handout
  7.5 Distribution-Free Confidence Intervals for Percentiles	presentation	handout
  7.6 More Regression	presentation	handout
  7.7 Resampling Methods	presentation	handout
  Chapter 8: Tests of Statistical Hypothesis	presentation	handout
  8.1 Tests About One Mean	presentation	handout
  8.2 Tests of the Equality of Two Means	presentation	handout
  8.3 Test for Variances	presentation	handout
  8.4 Tests About Proportions	presentation	handout
  8.5 Some Distribution-Free Tests	presentation	handout
  8.6 Power of a Statistical Test	presentation	handout
  8.7 Best Critical Regions	presentation	handout
  8.8 Likelihood Ratio Test	presentation	handout
  Chapter 9: More Tests	presentation	handout
  9.1 Chi-Square Goodness-of-Fit Test	presentation	handout
  9.2 Contingency Tables	presentation	handout
  9.3 One-Factor Analysis of Variance	presentation	handout
  9.4 Two-Way Analysis of Variance	presentation	handout
  9.5 General Factorial and \(2^k\) Factorial Designs	presentation	handout
  9.6 Tests Concerning Regression and Correlation	presentation	handout
  9.7 Statistical Quality Control	presentation	handout

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• Below is the tentative schedule that may change during the semester:

  	Monday -- Friday	Coverage	Test
  Week 1	08/16 -- 08/20	6.1 -- 6.5
  Week 2	08/23 -- 08/27	6.6 -- 6.7
  Week 3	08/30 -- 09/03	6.8
  Week 4	09/06 -- 09/10	7.1 -- 7.4
  Week 5	09/13 -- 09/17	7.5 -- 7.7
  Week 6	09/20 -- 09/24	8.1 -- 8.3
  Week 7	09/27 -- 10/01	Reviewing	Midterm Test on Friday
  Week 8	10/04 -- 10/08		Fall Break week
  Week 9	10/11 -- 10/15	8.4 -- 8.7
  Week 10	10/18 -- 10/22	8.8
  Week 11	10/25 -- 10/29	9.1 -- 9.2
  Week 12	11/01 -- 11/05	9.3
  Week 13	11/08 -- 11/12	9.4 -- 9.5
  Week 14	11/15 -- 11/19	9.6 -- 9.7
  Week 15	11/22 -- 11/26		Thanksgiving Week
  Week 16	11/29 -- 12/02	Reviewing

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• We will use gradescope to handle submissions of homework, which allows
  us to provide fast and accurate feedback on your work.
• As soon as grades are posted, you will be notified immediately so that you can log in and see your
  grades and feedback.
• Your Gradescope login is your university email, and your password can be changed there. The same
  link can be used if you need to set your password for the first time.
  • You should will receive an email from Gradescope for the registration by 2021-08-16;
  • If you do not receive this email, please use the Entry Code to register yourself: TBD.
• If you have any questions regarding Gradescope, please send your message to
  • help@gradescope.com
• Printer+scanner or tablet
  • The easiest way to submit the homework/tests/exams is the following steps:
    1. print the given template;
    2. complete the problem sets;
    3. scan the resulting paper (make sure it is legible);
    4. upload the scanned file to gradescope.
  • Alternatively, if you have a tablet that you can write on it, you may simply write on the
    template pdf file and upload the resulting file.
  • Make sure that you make the correct association of your solutions to the problems.
  • Double check your scan quality and make sure your solutions are legible.
• The following short video (1 minutes 40 seconds) shows the basic usage of gradescope, which should
  explain everything you need to be able to do.

• More instruction will be available towards the Fall 2021.

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• Your feedbacks are important for us to improve the teaching and make the learning process more
  effective and enjoyable.
• Here are two ways that you could let me know what your think:
  1. You may send me an email.
  2. If you want to send me some feedback in an anonymous way, you may fill in the following form:

• Students should familiarize themselves with Auburn honor code here
  • https://www.auburn.edu/academic/provost/academic-honesty/.
• Students are encouraged to share ideas and solutions on problem sets and labs, but must
  express those ideas in their own words in their submitted work.
• Students are not authorized to view or use the work of another student during exams.

Your success in this class is important to me. We will all need accommodations because we all learn differently. If there are aspects of this course that prevent you from learning or exclude you, please let me know as soon as possible. Together we’ll develop strategies to meet both your needs and the requirements of the course.

I encourage you to visit the Office of Accessibility to determine how you could improve your learning as well. You can register and make a request for services from the Office of Accessibility. In this case, please do inform me of such requests. See the following link for more information:

• https://accessibility.auburn.edu/

• According to Auburn University policies: http://auburn.edu/administration/aaeeo/H&D.php

Auburn University is committed to providing a working and academic environment free from prohibited
discrimination and harassment and to fostering a nurturing and vibrant community founded upon the
fundamental dignity and worth of all its members. Auburn University prohibits harassment of its
students and employees based on protected classes and works to eliminate prohibited behavior from
its academics and employment through corrective measures and education.

The Office of AA/EEO oversees compliance with the Policy Prohibiting Harassment of Students, the
Policy Prohibiting Harassment of Employees, and the Policy on Sexual and Gender-Based Harassment and
Other Forms of Interpersonal Violence.

Protected classes are race, color, sex (which includes sexual orientation, gender identity, and
gender expression), religion, national origin, age, disability, protected veteran status, or genetic
information.

Auburn University also prohibits retaliation against any individual for opposing a practice he/she
reasonably believed to be discriminatory; for filing an internal or external complaint, grievance,
or charge; or for participating in any investigation or proceeding, in accordance with Auburn
University's policies.

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