Applied Statistics

MATH 262 : Spring 2023

Department of Mathematics - SUNY Geneseo

Course Description

An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental design, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package.

Instructor

Cesar Aguilar, South Hall 325A

Office Hours

Tue 8:30-9:30, 10:45-11:45
Thu 10:45-11:45

Class Meetings

TR 12:30 PM - 1:45 PM, Fraser 119

Software

  • jamovi an R-based graphical user interface
  • SALT: Statistical Analysis and Learning Tool

Final Exam

Thursday, May 18, 8:00-10:30 AM

Textbook and Resources

Both textbooks are open educational resources

Student File Upload

  Upload your homework, test, lab

Latest

The current week content will be displayed here during the semester. For now, see the Schedule tab.

Homework

Title Due Date Week No.
Homework 1 - What is statistics? Jan 31, 2023 1
Homework 2 - Descriptive Statistics Feb 13, 2023 3

Schedule

Week 1  Jan 23 - Jan 27
Why learn stats? Research design
Topics: Why learn stats? Research design
What to Read: Chapters 1 & 2 (omit 2.3, 2.6, 2.7)
Jan 24 First day of classes
HOMEWORK HW 1DUE: Jan 31
Week 2  Jan 30 - Feb 03
jamovi, Descriptive statistics
Topics: jamovi, Descriptive statistics
What to Read: Chapter 3 & 4
Slides: Chapter 4
Files: data sets
HW DUE HW 1DUE: Jan 31
Week 3  Feb 06 - Feb 10
Drawing graphs, Data manipulation
Topics: Drawing graphs, Data manipulation
What to Read: Chapter 5 & 6
Slides: Chapter 5
HOMEWORK HW 2DUE: Feb 13
NEXT WEEK Test 1 on Feb 16, 12:30 PM – 1:45 PM
Week 4  Feb 13 - Feb 17
Review, Test 1
Topics: Review, Test 1
What to Read: Chapters 1 - 6
HW DUE HW 2DUE: Feb 13
TEST 1 Feb 16, 12:30 PM – 1:45 PM
Week 5  Feb 20 - Feb 24
Probability theory, Probability distributions
Topics: Probability theory, Probability distributions
What to Read: Chapter 7
Slides: Chapter 7
Week 6  Feb 27 - Mar 03
Sampling
Topics: Sampling
What to Read: Chapter 8
Slides: Chapter 8
Feb 28 Diversity Summit - No Classes
Week 7  Mar 06 - Mar 10
Central Limit Theorem
Topics: Central Limit Theorem
What to Read: Chapter 8
Slides: Chapter 8
Files: Lab 3
Week 8  Mar 13 - Mar 17
Rest, recover, & enjoy the turning of the season
Topics: Rest, recover, & enjoy the turning of the season
Mar 13-17 Spring Break - No Classes
Week 9  Mar 20 - Mar 24
Estimating parameters, Confidence intervals
Topics: Estimating parameters, Confidence intervals
What to Read: Chapter 8
Slides: Chapter 8
Week 10  Mar 27 - Mar 31
Estimating parameters, Confidence intervals
Topics: Estimating parameters, Confidence intervals
What to Read: Chapter 8
Slides: Chapter 8
Files: Lab 5
Week 11  Apr 03 - Apr 07
Hypothesis testing
Topics: Hypothesis testing
What to Read: Chapter 9
Slides: Chapter 9
Week 12  Apr 10 - Apr 14
Hypothesis testing
Topics: Hypothesis testing
What to Read: Chapter 9, 11
Slides: Chapter 9
Week 13  Apr 17 - Apr 21
Review, Test 2
Topics: Review, Test 2
What to Read: Chapters 7 - 9, 11
NEXT WEEK Test 2 on Apr 25, 12:30 PM – 1:45 PM
Week 14  Apr 24 - Apr 28
Correlation and Linear Regression
Topics: Correlation and Linear Regression
What to Read: Chapter 12
Slides: Chapter 12
Apr 26 GREAT Day - No Classes
TEST 2 Apr 25, 12:30 PM – 1:45 PM
Week 15  May 01 - May 05
Correlation and Linear Regression
Topics: Correlation and Linear Regression
What to Read: Chapter 12
Slides: Chapter 12
Week 16  May 08 - May 12
Correlation and Linear Regression
Topics: Correlation and Linear Regression
What to Read: Chapter 12
Files: Lab 8, Data: starbucks.csv
Slides: Chapter 12
May 10 Last day of classes

Syllabus

Learning Outcomes

Upon successful completion of MATH 262 - Applied Statistics, a student will be able to:

    Grading Scheme

    Below is the tentative course grading scheme. The grading scheme may change during the semester at the discretion of the instructor. Any changes to the grading scheme will be announced in class before the final exam. If homework assignments are done in groups, then a student must achieve a passing grade in all individual assessments (e.g., tests and final exam) to pass the course.

    ItemPercentage
    Homework10
    Tests30
    Final40
    Labs20
    GradePercentage
    A94-100
    A−90-93
    B+87-89
    B83-86
    B−80-82
    C+77-79
    C73-76
    C−70-72
    D60-69
    E< 60

    Tests and Exam

    There will be 3-4 tests scheduled evenly throughout the semester. The final exam is scheduled for Thursday, May 18, 8:00-10:30 AM. The final exam will be cumulative, that is, any topic covered in the course could be tested in the final exam. There will be no make-up for a missed test or final exam under any circumstances. If a student misses a test and can present evidence of an extenuating circumstance then the weight of the missed test will be redistributed to the final exam weight. Having the cold or flu is not an extenuating circumstance. Examples of extenuating circumstances include a medical emergency, a serious prolonged illness, or the death of a member of your immediate family.

    Homework

    There will be approximately one homework assignment per week. Students will be given approximately one week to complete a homework assignment. All homework assignments must be written in LaTeX (not Word). Instructions will be given on the first day of class on how to obtain and use the LaTeX program. The quickest way to get started with LaTeX is to use the online application called Overleaf and by reading the Learn LaTeX in 30 Minutes tutorial. If homework assignments are done in groups, then a student must achieve a passing grade in all individual assessments (e.g., tests and final exam) to pass the course. I encourage you to collaborate with your colleagues on your assignments/labs but your final submitted work should be your own (see Academic Dishonesty statement below).

    Technology

    Calculators are not permitted during the tests or final exam. However, I encourage you to use your calculator, Maple and other math software, WolframAlpha, and other forms of technology as you study and do your assignments. Both Maple and Mathematica can be downloaded from SUNY Geneseo Software page.

    Office Hours and Math Learning Center

    I encourage you to come to my office (South Hall 325A) whenever you are having trouble with any part of the course material, seeking academic advice, or you just want to chat about mathematics in general. If you want to meet with me outside of my office hours, you will need to make an appointment, preferably via email. I also encourage you to visit the Math Learning Center located in South Hall 332 where you can receive free tutoring on a walk-in basis by highly qualified upper level students. Access to in-person office hours and to the MLC will depend on social distancing guidelines set by the College.

    Email Communication

    I will do my best to reply to student email regarding the logistics of the course within 24 hours during the working week (Mon-Fri). However, due to the potential large volume of emails, inquiries regarding homework problems and/or specific course content should be made during office hours or after class.

    Academic Dishonesty and Plagiarism

    Please read, and follow, Geneseo's Academic Dishonesty and Plagiarism policy. Below is the definition of plagiarism and its consequences as described in SUNY Geneseo's Academic Dishonesty and Plagiarism statement:

    Plagiarism is the representation of someone else's words or ideas as one's own, or the arrangement of someone else's material(s) as one's own. Such misrepresentation may be sufficient grounds for a student's receiving a grade of E for the paper or presentation involved or may result in an E being assigned as the final grade for the course.

    If there is sufficient evidence of academic dishonesty on a homework assignment, all students involved will receive a zero score on the homework assignment and I will provide the department chairperson, the dean of academic planning and advising, and the student(s) with a written report of the violation, the penalty imposed and the counseling provided to the students involved. A second instance of academic dishonesty on a homework assignment will result in a final grade of E for the course for all students involved. Academic dishonesty on a test/final exam will result in a final grade of E for the course.

    Academic Accommodations

    SUNY Geneseo is dedicated to providing an equitable and inclusive educational experience for all students. The Office of Accessibility (OAS) will coordinate reasonable accommodations for persons with disabilities to ensure equal access to academic programs, activities, and services at Geneseo.

    Students with approved accommodations may submit a semester request to renew their academic accommodations. Please visit the OAS website for information on the process for requesting academic accommodations.

    Questions? Contact the OAS by email, phone, or in-person:

    Office of Accessibility Services
    Erwin Hall 22
    585-245-5112
    access@geneseo.edu