MATH 012: Section 210 (Basic Statistics)

Section	211	212	213	214
Time	M 7:15-8:05 PM	M 1:35-2:25	W 12:10-1:00	F 10:45-11:35
Location	XS 401	XS 400	XS 400	PA 503

Lecture Notes and Slide

Chapter	Slide	Note	Recall / Example	etc.
Chapter	Slide	Note	Recall / Example	etc.
1	[Ch1]	[Day1]	[Day1_Ex]	[Sum_Rules]
2	[Ch2]	[Day2], [Day3], [Day4], [Day5]	[Day2:Ex], [Day3:Ex], [Day4:Ex], [Day5:Ex]	[Var_Alt]
3	[Ch3]	[Day6], [Day7]	[Day6:Ex], [Day7:Ex]
4	[Ch4]	[Day8], [Day11], [Day12]	[Day11:Ex], [Day12:Ex]
5	[Ch5]	[Day13], [Day14]	[Day13:Ex], [Day14:Ex]
6	[Ch6]	[Day15], [Day16]	[Day15:Ex], [Day16:Ex]
7	[Ch7]	[Day17], [Day18]	[Day17:Ex], [Day18:Ex]
8	[Ch8]	[Day21], [Day22], [Day23]	[Day21:Ex], [Day22:Ex], [Day23:Ex]
9	[Ch9]	[Day24], [Day25]	[Day24:Ex], [Day25:Ex]
10	[Ch10]	[Day26], [Day27]	[Day26:Ex], [Day27:Ex]

Exam Material

Exam	Date	Time	Location	Review Slide / Practice Exam Solution
Exam	Date	Time	Location	Review Slide / Practice Exam Solution
Midterm I	9/22	4:25 PM	Chandler-Ullmann 118	[Review Slide], [Practice Exam Sol]
Midterm II	10/27	4:25 PM	Chandler-Ullmann 118	[Review Slide], [Practice Exam Sol]
Final Exam	12/08	8:00 AM	Packard Lab 101	[Practice Exam], [Solution], [Summary]

Miscellany

Material
Material
z-table, t-table

Homework Schedule and Submission

#	Homework	Release (9pm)	Due (7pm)	Late Due (7pm)	Submission / Solution
#	Homework	Release (9pm)	Due (7pm)	Late Due (7pm)	Submission / Solution
1	[HW1]	08/25	09/03	09/04	[HW1:Sol]
2	[HW2]	09/01	09/10	09/11	[HW2:Sol]
3	[HW3]	09/08	09/17	09/18	[HW3:Sol]
4	[HW4]	09/15	09/20 (midnight)	-	[HW4:Sol]
5	[HW5]	9/27	10/06	10/07	[HW5:Sol]
6	[HW6]	10/04	10/13	10/14	[HW6:Sol]
7	[HW7]	10/11	10/20	10/21	[HW7:Sol]
8	[HW8]	10/18	10/25 (midnight)	-	[HW8:Sol]
9	[HW9]	11/08	11/17	11/18	[HW9:Sol]
10	[HW10]	11/17	11/29	11/30	[HW10:Sol]
11	[HW11]	11/29	12/05	-	[HW11:Sol]

The best way to convert your hand-written solution to a PDF file is to use any scanner app through your smartphone. I strongly recommend installing one (There are free apps).

Date	Topics Covered	Related Material
Date	Topics Covered	Related Material
8/23 (Day1)	We briefly went over the Syllabus and looked at the course website. Then, we covered chapter 1, “Introduction to Statistics.” After explaining the basic terminologies, we discussed the fundamental concepts and assumptions in Statistics. In addition, a few sampling methods were explained. Lastly, we briefly talked about the Sigma notation for the summation.	See Course Material
8/25 (Day2)	We discussed different types of data. To summarize the information of data, frequency tables and graphical displays can be useful and we covered most of them. HW1 is posted.	See Course Material
8/30 (Day3)	We discussed numerical quantities (measures) for data summarization. The mean and median are the measures for the central tendency of data. The variance, standard deviation, range, and interquartile range (IQR) are the measures for the variation of data. In particular, we also talked about the concept of percentile that is required for the IQR.	See Course Material
9/1 (Day4)	We first reviewed the 100pth percentile and discussed box plot. For the first outlier detection criterion, 1.5IQR rule was introduced. Quiz 1 was done in the class.	Quiz 1 Sol
9/6 (Day5)	We reviewed the Boxplot. The second and third applications were about the empirical rule and z-score. Combining those, we saw the second detection rule for outlier detection. Quiz 2 was done in the class.	Quiz 2 Sol
9/8 (Day6)	We reviewed empirical rule and z-score along with the z-score outlier detection rule. After the review, we started chapter 3. For bivariate categorical variable, the two-way frequency table (contingency table) was introduced to summarize the information of data. In order to investigate the association between two categorical variables, we need to the conditional (relative frequency) contingency table. For bivariate numerical variable, we saw the scatter plot and correlation coefficient, r.	See Course Material
9/13 (Day7)	We reviewed the conditional contingency table and correlation coefficient, r. A simple numerical example was used to calculate the correlation with two different appraoches. We started regression analysis.	See Course Material
9/15 (Day8)	We covered two examples regarding regression analysis and finished chapter 3. Probability concepts are introduced. Quiz 3 was done in the class.	Quiz 3 Sol
9/20 (Day9)	We covered the review slides and went over the practice exam.	See Course Material
9/22 (Day10)	Exam I	-
9/27 (Day11)	We covered the event operations and two probability laws. The concept of independence was introduced and compared to the mutually exclusiveness.	See Course Material
9/29 (Day12)	We covered the multiplication law and conditional probability. Chapter 4 has been finished. We checked the exam I paper.	See Course Material
10/4 (Day13)	We reviewed the probability laws and learned the rule of total probability as well as Bayes rule. We started Chapter 5.	See Course Material
10/6 (Day14)	We learned how to calculate the variance and standard deviation of discrete probability distributions. Binomial distribution was introduce and we talked about its formula. Quiz 4 was done in class.	Quiz 4 Sol
10/11 (Day15)	We checked the mean and the standard deviation of binomial random variable. We started the Chapter 6 and talked about the normal distribution. In the end, we covered the probability calculation under the normal distribution.	See Course Material
10/13 (Day16)	We solved examples regarding the probability calculation under different normal distributions. At the end, the normal approximation to the binomial was covered. This provides a reasonable normal approximation when n is large enough (np>=15 and n(1-p) >=15).	See Course Material
10/18 (Day17)	We started Chapter 7. The concept of sampling distribution was introduced and we also talked about its mean, standard deviation, and the shape. In particular, we can use the approximate normal distribution for our sampling distribution for a sample mean even for the situation we don’t know the population distribution. This result is due to the central limit theorem.	See Course Material
10/20 (Day18)	After reviewing the sampling distribution for sample mean, we covered the sampling distribution for sample proportion. Quiz 5 was done in class	See Course Material
10/25 (Day19)	We went through the review material and solved the practice questions.	See Course Material
10/27 (Day20)	Exam II	-
11/1 (Day21)	We started statistical inference. The first topic was confidence interval estimator.	See Course Material
11/3 (Day22)	We started the second topic, hypothesis testing. The exam II questions were reviewed in class.	See Course Material
11/10 (Day23)	After reviewing a couple of examples regarding the inferences on population means, we learned the confidence interval and hypothesis testing for the population proportion.	See Course Material
11/15 (Day24)	After reviewing a couple of examples regarding the inferences on population proportions, we started Chapter 9, the small sample inferences on population means. Quiz 6 was done in class.	See Course Material
11/17 (Day25)	We learned the duality between confidence intervals and two-sided hypothesis tests. The types of errors were covered in the class and their relationship with the framework of hypothesis testing was explained.	See Course Material
11/22 (Day26)	We started Chapter 10 and talked about comparing two populations means. The concepts of indepedent design and matched pairs design were also discussed.	See Course Material
11/29 (Day27)	We finished Chapter 10. Course evaluation was done in class.	See Course Material
12/01 (Day28)	We went over the review material and summarized the inferential procedures based on the different scenarios	See Course Material
12/08	Final exam was given.

Assignment Components

Attendance
Attendance at lectures and recitations is highly recommended. Students are responsible for the contents of every lecture. Attendance will be checked by the instructor and TA for the record.
Recitation
During the recitations, the TA will show you examples and Minitab illustrations related to the material covered in lecture. Also, the TA will answer your questions regarding homework, the material covered in lecture, practice problems, or computings with Minitab. At the end of the semester, the TA will determine the recitation score based on students’ attendance and participation.
Homework
Homework assignments will be posted on the course website almost every Thursday at 9:00 pm. Those are typically due by 5:00 pm on Saturday of the following week. Submission will be via course website by attaching a PDF or MS Word file only. Submitting homework less than 24 hours late will receive a 15% penalty; otherwise, late homework assignments will NOT be accepted except in the case of a documented University Excused Absence. The lowest homework grade will be dropped when computing your course grade. You may discuss assigned problems with fellow students, but you MUST write the solutions up yourself independently. Copying of solutions (whether from another student’s work, or from another source) constitute academic dishonesty. Graders have been instructed to alert instructors if they suspect that a student has copied solutions. Depending on the cases, a complaint may be initiated against the student(s) involved through the LU Judicial System.
It you ever have questions about drawing the line between others’ work and your own, ask me and I will give you guidance or you may visit Lehigh Library’s Proper Use of Information.
Quizzes
There will be several unannounced brief quizzes at the end of classes. Each quiz will be about the class content covered on that day. The two lowest grades will be dropped. Make-up for a missed quiz is only possible with a valid reason and documentation and it needs to be arranged within a week by contacting the instructor.
Midterm
Midterms will take place during Common Hour Exams on September 22nd and October 27th. Detailed information of the midterms will be announced later. There will be assigned seating for the Midterms.
Final Exam
The final exam is cumulative. The final exam is to be held during the scheduled time by Registrar’s office.

Assignment Summary

Component	Percentage
Component	Percentage
Recitation	5%
Homework	20%
Quizzes	10%
Midterm I	20%
Midterm II	20%
Final Exam	25%
Total	100%

Grading Scale

Grading Scale	Range	Grading Scale	Range
Grading Scale	Range	Grading Scale	Range
A	93-100	A-	90-92.9
B+	87-89.9	B	83-86.9
B-	80-82.9	C+	77-79.9
C	73-76.9	C-	70-72.9
D+	67-69.9	D	60-66.9
F	<60

Exam Make-up Policy

If you must miss a scheduled exam, contact your instructor before the test date and time. Make-ups will only be offered to students with a valid justification. To qualify for a make-up exam due to a health issue, personal emergency event, or the death of a family member, the following three things must hold: (1) the reason is serious and justifiable; (2) the student notifies the instructor in a reasonable time prior to the exam (at least 24 prior is expected); signed documentation from the Dean’s office is provided.

Class Schedule

This schedule is subject to change depending on progress during the semester.

Week	Dates	Topic	Chapter
Week	Dates	Topic	Chapter
1	8/23,8/25	Introduction to Statistics	1
2	8/30, 9/01	Basic Data Types and Description&2	2
3	9/06, 9/08	Summary Statistics	3
4	9/13. 9/15	Bivariate Data	3
5	9/20, 9/22	Review, Exam I
6	9/27, 9/29	Probability Concepts	4
7	10/04, 10/06	Probability Distributions: Discrete Case	5
8	10/11, 10/13	Probability Distributions: Continuous Case	6
9	10/18, 10/20	Sampling Distributions	7
10	10/25, 10/27	Review, Exam II
11	11/01, 11/03	Drawing Inferences I	8
12	11/10	Drawing Inferences I	8
13	11/15, 11/17	Drawing Inferences II	9
14	11/22	Comparing Two Treatments	10
15	11/29, 12/01	Regression Analysis: Single Predictor Case	11

Final Exam: TBA (date and time will be set by the office of registration.)
Common Hour Exams are set: September 22nd and October 27th.
Tuesday November 8, Civic Engagement Day: no class.
Thursday November 24, Thanksgiving Break: no class.

Textbook

Statistics Principles and Methods, Richard A. Johnson and Gouri K. Bhattacharyya, Wiley, 8th edition (ISBN: 978-1-119-49711-0). Hard copies for purchase and rental are available at the bookstore. The bookstore also sells the e-text version (via a digital access code). In addition, VitalSource provides e-text purchase and rentals.

Computing

Minitab 2020 will be used for illustration purposes in this class. It is a very easy-to-use statistical software similar to Excel. It is free for students with valid Lehigh email accounts. During the first recitation, the TA will explain how you can obtain a free subscription. The homework assignments occasionally contain problems that can be solved via Minitab 2020.

Academic Integrity

During orientation, first-year students sign a pledge to abide by the Undergraduate Student Senate’s affirmation of the Code of Conduct. At the first-year convocation, a representative of the Student Senate presents a binder containing those signatures to the President. This symbolic ritual highlights the core values of honesty and integrity in Lehigh’s culture. The Provost for Teaching and Learning developed seven short vignettes describing cases where student actions bring into question issues of academic integrity and community standards. These vignettes are available at http://www.lehigh.edu/lts/official/Academic_Integrity_Vignettes.pdf. These vignettes on academic dishonesty cases are all based on actual cases that have come before the University Committee on Discipline. Various university web resources also provide material to help understand the student Code of Conduct’s expectations, way to report violations of the Code, and the thoughtful adjudication of Code violations to which the Dean of Students Office is committed. The Undergraduate and Graduate Student Senates have affirmed students’ responsibility to uphold academic integrity by creating student statements of academic integrity (http://go.lehigh.edu/integrityresources).

Email

Students are expected to check email on a regular basis. Even if a student fails to check email for messages, the student is still responsible for any announcements made using email.

Accommodations for Students with Disabilities

Lehigh University is committed to maintaining an equitable and inclusive community and welcomes students with disabilities into all of the University’s educational programs. In order to receive consideration for reasonable accommodations, a student with a disability must contact Disability Support Services (DSS), provide documentation, and participate in an interactive review process. If the documentation supports a request for reasonable accommodations, DSS will provide students with a Letter of Accommodations. Students who are approved for accommodations at Lehigh should share this letter and discuss their accommodations and learning needs with instructors as early in the semester as possible. For more information or to request services, please contact Disability Support Services in person in Williams Hall, Suite 301, via phone at 610-758-4152, via email at indss@lehigh.edu, or online at https://studentaffairs.lehigh.edu/disabilities.

The Principles of Our Equitable Community

Lehigh University endorses The Principles of Our Equitable Community. We expect each member of this class to acknowledge and practice these Principles. Respect for each other and for differing viewpoints is a vital component of the learning environment inside and outside the classroom.

Lehigh University Policy on Harassment and Non-Discrimination

Lehigh University upholds The Principles of Our Equitable Community and is committed to providing an educational, working, co-curricular, social, and living environment for all students, staff, faculty, trustees, contract workers, and visitors that is free from harassment and discrimination on the basis of age, color, disability, gender identity or expression, genetic information, marital or familial status, national or ethnic origin, race, religion, sex, sexual orientation, or veteran status. Such harassment or discrimination is unacceptable behavior and will not be tolerated. The University strongly encourages (and, depending upon the circumstances, may require) students, faculty, staff or visitors who experience or witness harassment or discrimination, or have information about harassment or discrimination in University programs or activities, to immediately report such conduct. If you have questions about Lehigh’s Policy on Harassment and Non-Discrimination or need to report harassment or discrimination, contact the Equal Opportunity Compliance Coordinator (Alumni Memorial Building / 610.758.3535 / eocc@lehigh.edu)

Zoom Policies

To meet the challenge of teaching and learning during the COVID-19 pandemic, Lehigh instructors and students will be adopting new forms of instruction and interaction; following new guidelines around classroom behaviors; enhancing communications; and doing our best to be patient, flexible, and accommodating with each other.
In remote synchronous meetings, students are expected to attend class just as they would any other Lehigh class. Zoom classes work best when all students come to class ready to participate and follow the instructor’s guidelines regarding use of web-cameras. You may be asked to turn your camera on during active learning sessions in Zoom. If you have a strong preference not to do so, please contact me to let me know. Students should respect the in-classroom privacy of their instructors and fellow students by not taking screenshots or recording class sessions. Some instructors will record Zoom sessions; however, any recorded live sessions will be shared only with students in the class and will be deleted at the end of the semester.

Asking for Help

If you are having trouble understanding lectures, textbook material, or assignments, and feel you are behind in understanding the course topics, please ask questions in class, see me after class and at my office hours, talk to your recitation section TA, and/or send email to me ASAP. Do not be embarrassed by feeling you are not grasping basic material. Everyone struggles with some aspect of every subject. Study groups with fellow students are often very helpful as well. College can be demanding whether you are a freshman or an upperclassman and time management is very important, and getting behind in a course makes time management more difficult. For these reasons, consider making use of the Academic Transitions, Center for Academic Success, Disability Support Services and other offices at Lehigh’s Division of Student Affairs. See https://studentaffairs.lehigh.edu/. In addition, your mental health should not be neglected. There are university counseling services that can help in managing stress and any life issues that you find overwhelming. In particular, Student Affairs has a Counseling & Psychological Services (UCPS) office with staff members who are trained and available to assist all students.

Lecture Information

Instructor

TA and Recitation Information

Notice