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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.
57345 TR 11:10 am – 12:25 pm (Brooks 145)
57327 TR 12:45 pm – 2:00 pm (Brooks 145)
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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 slides are bulleted to guide my lecture; they do not represent the entirety of content.
1/10-13 Welcome, Ch.1 Basics, Chapter 4.1-2 Overview of Study Types, Sampling, and Bias
Homework: Read the syllabus. Then go to eLC >> STAT2000 >> Quizzes >> Take the syllabus quiz.
(End of Add/Drop Period 1/13)
1/16-20 Chapter 4.3 and 4.4: Experimental Studies
1/19 Chapter 2.1: Different Types of Data (Time Permitting)
1/24 Chapter 2.2: Graphical Summaries PDF
1/26 Chapter 2.3 Measuring the Center of Quantitative Data and 2.4 Measuring the Variability of Quantitative Data (PPT)
1/31 Chapter 2.5 Measures of Position (PPT): Empirical rule, first outlier check
2/2 2.5: Second outlier check, drawing boxplots with and without the presence of outliers
2/7 Complete 2.5: Z-scores, Third outlier check, the Standard normal distribution (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.
2/9 Untimed practice exam 1 discussion
2/9 Time permitting: Chapter 5 Computing Basic Probability (This material is not on Test 1) Activate your StatCrunch subscription before Tuesday
2/14 5.2 Probability of Compound Events (PDF) Addition and basics of the Multiplication rule. 5.3 Conditional Probability NO OFFICE HOURS TODAY
2/16 Complete & 6.1 and 6.2 Probability Distributions (PDF), StatCrunch tutorial and examples. (The remaining slides after the introduction to StatCrunch are for additional explanation).
Stat crunch examples, Quiz Review of probability (Module 3: Chapters 5 and 6)
2/21 Chapter 7 Introduction to Sampling Distributions: Proportions (Module 4 in eLC) Time permitting: Quiz review
2/23 Sampling Distributions for Proportions practice
2/28 Chapter 7 Sampling Distributions: Means (PDF), Sampling distributions for means practice
3/2 Module 5: Hypothesis Testing (PDF) Student-T Distributions and Standardized Statistics in brief (Slides 1-12 only) Time permitting: Practice
3/14 Nested Probability, Decision Making with Probability, Hypothesis Testing Introduction (Test 3 material, not on exam)
This is the conclusion of Test 2: Modules 3 & 4 material. This covers Chapters 5, 6, and 7 in your textbook.
3/16 Test 2 Review: Untimed Practice & Module 5: Hypothesis Testing (PDF) Hypothesis Testing (slides 13-35) Practice Solution
3/21 Hypothesis testing for proportions and means with standardization, One-tailed (left/right) vs two-tailed hypothesis tests (Slides 36-47)
3/23 Type I and Type II errors, adjusting alpha
3/28 Chapter 8: Confidence Intervals (Module 6 in eLC. Slides 1-11), Checking conditions for constructing confidence intervals, Time permitting: Connecting hypothesis tests to confidence intervals (Slides 14-15)
3/30 Calculating necessary sample size for proportions & means (Review slides 9-10, go over slides 12-13) Homework 6
End of Test 3 Material
FALL 2022 SCHEDULE & COURTESY LECTURE SLIDES:
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
11/18 Chapter 11 Chi-square distribution and the Chi-Square Goodness of Fit (Video)
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!