First: If you missed class, please read the announcements from Nick for answers to common questions about accessing the quiz, submitting back up work, and when answers are shown to students. As a reminder, the quiz needs to be submitted in WebAssign by 11:59 pm today (1/30/23). If you plan on submitting back up work in eLC, please submit that work in eLC >> Assignments by going to the designated folder.
Second: I want to ensure that you do not miss important course announcements. While I expect you to log in to eLC daily and to read all announcements in full, I strongly encourage you to verify that your email/text notifications are turned on in eLC. This will ensure that when announcements are made, you are emailed the content of the announcement.
To turn on your email/text notifications in eLC, please use the following instructions for desktop/laptop computers:
Take the syllabus quiz on eLC immediately. A 100% is needed to access course notes on eLC.
PLACE STAT 2000 IN THE SUBJECT OF YOUR EMAILS. ENSURE THAT YOU HAVE READ THE SYLLABUS AND THE FAQ AT THE BOTTOM OF THIS PAGE PRIOR TO E-MAILING.
For the current syllabus, please log in to eLC.
To take the syllabus quiz eLC >> STAT2000 >> Quizzes >> Syllabus quiz
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:
Always refer to eLC or the textbook for complete notes. These powerpoints are bulleted to guide my lecture; they do not represent the entirety of content.
Homework: Read the syllabus. Then go to eLC >> STAT2000 >> Quizzes >> Take the syllabus quiz.
(End of Add/Drop Period 1/13)
1/19 Chapter 2.1: Different Types of Data (Time Permitting)
2/2 Complete 2.5, discuss Z-scores (Final content on Test 1)
This is the conclusion of Test 1: Module 1 & 2 material. This covers Chapters 1, 2, and 4 in your textbook.
FALL 2022 SCHEDULE & COURTESY LECTURE SLIDES:
9/14 5.3 Conditional Probability Activate your StatCrunch subscription before Monday.
9/16 Test 1 Review Problems
9/16-18 Test 1
9/21-9/23 Stat crunch examples, Quiz Review of probability (Module 3: Chapters 5 and 6) Make-up day: Tuesday 9/27 3-5 pm or drop by between 5-8 pm.
9/25 Homework 3 due Probability and Probability Distributions (Module 3: Chapters 5 and 6)
9/26 Quiz 2 opens, closes on the 28th
9/27 Make-up day 3-5 pm or drop by between 5-8 pm.
9/28 Chapter 7 Introduction to Sampling Distributions: Proportions (Module 4 in eLC)
9/30 Sampling Distributions for Proportions practice
10/7 Homework 4 due Sampling Distributions (Module 4: Chapter 7)
10/7 Test 2 Review Problems & Decision Making with Probability (see eLC for Module 3: Decision Making notes)
This is the conclusion of Test 2: Modules 3 & 4 material. This covers Chapters 5, 6, and 7 in your textbook.
10/8-10/10 Test 2
10/14 Hypothesis testing for proportions and means with standardization, One-tailed (left/right) vs two-tailed hypothesis tests (Slides 36-47)
10/17 Recap on conducting a hypothesis test, hypotheses in general, Type I vs Type II errors and choosing alpha. (Slides 48-54)
10/19 Problem Session
10/21 Problem Session
10/24 Chapter 8: Confidence Intervals (Module 6 in eLC. Slides 1-11)
10/26 Problem Session Focus: Constructing confidence intervals for proportions and means
10/28 FALL BREAK (no class)
10/31 Problem Session Focus: Checking conditions for constructing confidence intervals, calculating necessary sample size for proportions & means (Review slides 9-10, go over slides 12-13)
11/2 Connecting hypothesis tests to confidence intervals (Slides 14-15)
11/4 Problem Session
End of five weeks on Test 3 Material
11/7 Introduction to Module 7, Chapter 10: Two Sample Tests. We will discuss the relationship between the new module and the Test 3 content. This new material, however, will not be on Test 3.
11/9 Test 3 Review Practice
11/11 Test 3 Review Practice (11:30 am class only) Extended Zoom Office Hours 6-7 pm
11/11-11/13 Test 3
11/14 Module 7: Introduction to Paired-t test and Two Sample Tests Review. Practice with a focus on verifying conditions (Note: Please pay special attention to the differences in conditions for these tests when compared to one sample tests)
11/16 Confidence intervals for two samples
11/21 Begin Module 8: Chapter 11 Chi-Square Test of Independence
11/23-25 Thanksgiving Break (No class)
11/28 Which Chi-Square test is appropriate? (Video Passcode: 8c9&^b^E Practice)
11/30 Chapter 3 Position & Scatter Plots, Correlation
12/2 Regression Homework 8
12/5 Exam 4 Review Untimed Practice
12/6 Exam 4 Review Untimed Practice
See syllabus for final exam dates.
PROSPECTIVE SPRING 2023 STUDENTS: ANSWERS TO FREQUENTLY ASKED QUESTIONS
Every section of STAT 2000 has the same tests, quizzes, homework, labs, and due dates. Sections only differ by primary instructor. If my name appears anywhere on the course you have signed up for in Athena, I am the primary instructor. If you see Nick's name twice on your schedule, then Nick is your primary instructor.
In-person lab attendance is required on the lab date and time that you signed up for in Athena. 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.
You will need to score 100% on the syllabus quiz to access course content in eLC. The entirety of this course is in eLC (lecture videos, notes, examples, practice problems, module goals, etc.) Passwords to most locked assignments are in eLC.
The syllabus is your friend. This is a very large course which results in a large number of student emails. I typically answer administrative questions that were already addressed in class or in the syllabus at the very end of the week.
The syllabus has accommodations for emergencies built into it. This should not be interpreted as, "I only have to take 3 of 4 quizzes" or "I only have to attend 8 of the 10 labs." Emergencies do happen, so do not waste your built-in safety net!
This course requires working knowledge of the math you learned from elementary school all the way up to Algebra I (solving equations) and an ability to convert words into mathematical symbols. I teach many of these K-12 topics quickly & explicitly to ensure student success. Please note that I am not required to do this.
About me: I do not teach tricks that are devoid of mathematics. I teach conceptually. While we skip much of the underlying calculus and analysis that are the theoretical underpinnings of statistics, conceptual understanding is required to be successful in this course and interpretation is critical. I have students work on problems in class so that they can identify areas of difficulty and inform me in the moment.
There are a plethora of black-box point-and-click statistics programs and apps that can solve problems for you. Exams are often written in a manner that makes these 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!