# STAT 2000

**PLEASE 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.**

Office Hours Zoom Link OFFICE HOURS Monday 10:20 am - 11:20 am (Office) Wednesday 8-8:50 am (Zoom)

Fall 2022 STAT 2000 Syllabus eLC >> STAT2000 >> Quizzes >> Take the syllabus quiz.

Please take the syllabus quiz on eLC immediately. A 100% is needed to access course notes.

**FALL**** 2022 SCHEDULE:**

**Courtesy Lecture Slides and Resources**

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.

8/17 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.

8/19 Chapter 4.3 and 4.4: Experimental Studies (End of Add/Drop Period)

TENTATIV

1/19 Chapter 2.1: Different Types of Data (We started 2.2 early today)

1/21-23 Chapter 2.2: Graphical Summaries (We will begin on slide 14 of 2.2) PDF

1/24 Chapter 2.3 Measuring the Center of Quantitative Data and 2.4 Measuring the Variability of Quantitative Data (PPT) (I will wrap up the standard deviation and empirical rule on Wednesday.)

1/25 Homework 1 due: Basics, Sampling, Design, Bias. This due date has been changed STAT2000 wide.

1/26-28 Quiz 1 This date has been changed STAT2000 wide.

1/26-30 Chapter 2.5 Measures of Position (PPT)

Next Lab 2/1-2 Courtesy Reminder

1/31 Discussion: Boxplots using the IQR Criterion to detect outliers: Different methods for drawing "whiskers"

2/2 2.5 Z-scores (Final content on Test 1) & Chapter 5 Computing Basic Probability (Slides 1-9, this material is not on Test 1)

2/4 Test 1 Review Video Review Problems

This is the conclusion of Test 1: Module 1 & 2 material. This covers Chapters 1, 2, and 4 in your textbook.

2/8 Homework 2 due: Descriptive Statistics (This is Module 1&2 focused, the due date was changed STAT2000 wide)

2/7 5.2 Probability of Compound Events 5.3 Conditional Probability Slides 10-35 (PDF)

2/8-10 Test 1 This date has been changed STAT2000 wide.

2/9 Wrap Up 5.3 Conditional Probability (Slides 36-52) Activate your StatCrunch subscription before Friday.

2/11 6.1 and 6.2 Probability Distributions (PDF) and StatCrunch tutorial. (Lecture was completed today. The remaining slides after the introduction to StatCrunch are for additional explanation.)

Next week Lab 2/15-16 Courtesy Reminder

2/14-2/16 Chapter 7 Introduction to Sampling Distributions: Proportions (Module 4 in eLC),

2/16 Sampling Distributions for Proportions Full Example

2/18 Test 1 Discussion & Homework 3 Problem Session

2/18 Homework 3 due: Probability and Probability Distributions (Module 3: Chapters 5 and 6)

2/21 Continue Sampling Distributions for Proportions practice (If I find time, I will post solutions)

2/23 Chapter 7 Sampling Distributions: Means (PDF)

2/25 Sampling distributions for means practice (Solutions)

2/28 Student-T Distributions and Standardized Statistics in brief (Slides 1-12) Practice Solutions

This is the conclusion of Test 2: Modules 3 & 4 material. This covers Chapters 5, 6, and 7 in your textbook.

3/2 Module 5: Test Statistics and Hypothesis Testing (PDF) (slides 1-35)

3/4 Test 2 Review (Now disabled/Inactive links)

3/4-6 Test 2

3/7-11 SPRING BREAK (Read up on Module 5: One-Sample Hypothesis Tests)

3/14 Hypothesis testing for proportions and means **with standardization** One-tailed (left/right) vs two-tailed hypothesis tests (Slides 36-47)

3/16 TEST 2 REVIEW VIDEO. (Was ill on this date, will post over weekend)

3/18 Lecture Video Passcode: 7$$$&7uR Practice Solution Type I vs Type II errors and choosing alpha. (Slides 48-54)

3/21 Lecture Video Passcode: K1zx^+KH Homework 5

3/23 Chapter 8: Confidence Intervals (Module 6 in eLC. We focus on proportions today. Slides 1-9,11)

3/24 Withdrawal Deadline

3/25 Calculating necessary sample size for proportions & connecting hypothesis tests to confidence intervals (Slides 12, 14-15)

3/28-3/30 Confidence intervals for means and calculating necessary sample size. (Slides 10 & 13)

End of four weeks (five including spring break) on Test 3 Material - One full week to study.

4/4 Begin Module 7, Chapter 10 Two Sample Tests: Two Sample Test for Proportions, Two Sample T-Test for Means

4/6 Practice (Homework 7)

4/8 Test 3 Review (Untimed Practice Test 3)

4/11 Paired-t test (Note: Please pay special attention to the differences in conditions for these tests when compared to one sample tests)

4/13 Review of two sample tests with a focus on verifying conditions. Let's begin Friday with a quick discussion of confidence intervals for two samples. We began doing these before I formally introduced them.

4/15 Chapter 11 Chi-square distribution and the Chi-Square Goodness of Fit (Video)

4/18 GOF Practice Problems

4/20 Begin Module 8: Chapter 11 Chi-Square Test of Independence

4/22 Zoom Lecture: Which Chi-Square test is appropriate? Passcode: 8c9&^b^E

4/25 Chapter 3 Position & Scatter Plots, Correlation

4/27 Quiz 4 due

4/27 Regression Homework 8

4/29-5/2 Exam 4 Review Untimed Practice

**PROSPECTIVE 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!