BUSN 3000

PLACE BUSN3000 IN THE SUBJECT OF YOUR EMAILS. ENSURE THAT YOU HAVE READ THE SYLLABUS PRIOR TO E-MAILING.

Syllabus

Course Information: 

CRN 64595 TR 8:00 am – 9:15 am (Caldwell 302) 

CRN 59751 TR 9:35 am – 10:50 am (Caldwell 302) 

OFFICE HOURS Tuesday 3:00 pm - 4:00 pm (Office) Thursday 7:00 am -8:00 am (Office Hours Zoom Link)


SPRING 2023 SCHEDULE & COURTESY LECTURE SLIDES:

1/10 Unit 1 Notes (Mark's Slides)

1/12 Unit 2 Random Sampling and Obtaining Good Quality Data Sampling strategies

1/17 Unit 2 Random Sampling and Obtaining Good Quality Data Bias, observational vs. experimental studies

1/19 Working with JMP (Time Permitting: Practice Unit 1  Unit 2)

Weekend: If you missed class on 1/19, please install JMP on your computer (see syllabus for directions) or ensure that you can access it using vLab at vlab.uga.edu

1/24 Unit 3 Analyzing Data Day 1 (We will continue from symmetry on Thursday)

1/26 Unit 3 Analyzing Data Day 2 

1/31 Complete Unit 3 Analyzing Data Day 2

2/2 Unit 1-3 Review. Begin Unit 4: Foundations of Inference (PDF)  (Time permitting) Please follow the directions on Unit 4, slide 23 to install the distribution calculator add in from JMP.

2/7 Unit 4: Foundations of Inference (PDF) Emphasis: z-scores, SAT vs. ACT example, proportions from repeated samples, sketching distributions with the empirical rule. (Sign up for test ASAP, schedule time in the DRC if you have accommodations) (Download the Distribution Calculator add-in using the directions from Unit 4, slide 23 before coming to class)

2/9-2/10 Test 1 (In-person in Caldwell or DRC) 

2/9 NO CLASS ON THURSDAY DUE TO EXAM

2/14 Unit 5: Hypothesis Testing (PDF) (One Sample Test for Proportions, extra help on slides 32-47) NO OFFICE HOURS TODAY

2/16 Sample Size, Type 1 and Type 2 Errors (Slides 19-31)

2/21 Unit 6: Confidence Intervals (Mark's Slides)

2/23 Agenda:

2/28 Unit 7: Confidence intervals  & Hypothesis testing for means. Homework 7 due March 15th

3/2 Unit 7 practice and solutions

SPRING BREAK

3/14 Quiz 2 Review (see eLC)

3/16 Unit 8: Unit 8: Hypothesis tests and confidence intervals for two means (Two sample t tests)

3/21 Unit 8: Paired tests & Review, questions about Units 5-7 also accepted

3/23 NO CLASS DUE TO TESTING

3/28 Unit 9 Chi Square Models (Goodness of Fit test slides 1-15)

3/30 Unit 9 Chi Square Models (Test of Independence slides 16-27) , Mosaic plot

4/4-6 Unit 10 Regression

4/11 Unit 10 Review using fill-in notes, begin Unit 11: Multiple Regressuib

4/13 Unit 11 Multiple Regression 

4/18 Quiz 3 Review, Introduction to Time Series

4/20 Unit 12: Time Series (see eLC for slides)

4/25 Test 3 review (Units 9-12)

Test 3

Final (non-exhaustive) Study Guide


Good luck!



PROSPECTIVE FALL 2023 STUDENTS: ANSWERS TO FREQUENTLY ASKED QUESTIONS

Every section of BUSN3000 has the same tests, quizzes, homework, and labs. Sections only differ by primary instructor. 

Lecture attendance is not required. While we will not penalize you for not attending class, you are still responsible for what is said in lecture. You will need to catch up on your own in eLC if you are absent.

The syllabus is your friend. This is a medium-large course which results in many student emails per day. I typically answer administrative questions that were already addressed in class or in the syllabus at the very end of the week.

About me: I do not teach tricks that are devoid of mathematics. I view mathematics as necessary for the long-term evolution and safety of society and as a civil rights issue. When I teach, my goal is that students will find the mathematics to be so full of common sense that they can pass the class and go on to med school, breeze through industry data analytics interviews, or conduct independent analyses of problems within their own businesses.

While we skip much of the underlying calculus and analysis that are the theoretical underpinnings of statistics, I do teach conceptually. I have students work on problems in class so that they can identify areas of difficulty and inform me in the moment. JMP is used extensively, but it is imperative that you understand what JMP is calculating and how to interpret it. Big hint: Many of the topics of this course come up in FAAMG interviews. Knowing how to use JMP will not suffice for getting through such interviews. Pay attention in class and read your slides; you will be fine.

There are several black-box point-and-click statistics programs and apps that can solve problems for you. Exams may contain problems that make these types of programs useless. Focus on learning conceptually and you will be fine. Math should make sense and I love working with students to ensure that the math makes sense for them. I offer office hours in abundance to help meet this goal. If my typical hours do not work for you, make an appointment.

If all of this sounds good to you, feel free to sign up for my class!