BUSN 3000

PROSPECTIVE 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 a plethora of 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!

SPRING 2022 SCHEDULE:

Syllabus Section 59751

Course Information: Tuesday and Thursday 9:35 am - 10:50 am Caldwell 302

Office Hours Zoom Link OFFICE HOURS Wednesday 8-9 am (Office) Thursday 8-9 am (Zoom)

Courtesy Lecture Slides and Resources

1/11 Unit 1 Notes (Mark's Slides)

1/13 Unit 2 Random Sampling and Obtaining Good Quality Data

1/18 Practice Unit 1 (Solutions in eLC)

1/19 Homework 1 due

1/20 Practice Unit 2

1/25 Complete discussion of Unit 2 Solutions (Solutions in eLC)

1/26 Homework 2 due

1/27 Unit 3 Analyzing Data Day 1 (Please have JMP installed prior to coming to class. See the syllabus for directions.)

2/1 Unit 3 Analyzing Data Day 2 and Mark's notes for Unit 4 Foundations of Inference (Time Permitting)

2/2 Homework 3 due

2/3 Unit 1-3 Review (Online Zoom Link)

2/3-4 Quiz 1

2/8 Unit 4: Foundations of Inference Odds & Ends (PDF), Unit 4 Practice and Solutions in eLC

2/9 Homework 4 due

2/10-11 Test 1

2/15 Hypothesis Testing (PDF) (One Sample Test for Proportions, slides 1-18. If lecture went too fast for you, read slides 32-47)

2/17 Sample Size, Type 1 and Type 2 Errors (slides 19-31). Practice Please do 2,3,6. Solutions in eLC

2/22 Unit 6: Confidence Intervals (Mark's Slides)

2/23 Homework 5 due

2/24 Unit 6 Confidence Intervals for proportions, practice. Solutions in eLC (You may email questions about homework 5 and 6 for help)

3/1 Agenda:

Unit 6: Slide 16 How to choose p when determining sample size
Unit 6: Slides 17-21 Relationship between hypothesis testing and confidence intervals
Unit 6: Homework or practice questions (please send questions prior to next Tuesday)

3/2 Homework 6 due

3/3 Unit 7: Confidence intervals & Hypothesis testing for means Unit 7 practice and solutions

3/7 - 3/11 Happy Spring Break! (Critical: Study hypothesis testing and confidence intervals)

3/15 Unit 8: Hypothesis tests and confidence intervals for two means (Two sample t tests)

3/17 Zoom Class (Paired tests & JMP)

3/17-18 Quiz 2

3/22 Test 2 review

3/24 Withdrawal Deadline

3/24-25 Test 2

3/29 Unit 9 Chi Square Models (Goodness of Fit Test Only Slides 1-14)

3/31 Practice & Chi Square Models (Two ways tables & Test of Independence Slides 15-27)

4/5 Unit 10 Correlation & Regression