# STAT 2000

**T****ake the syllabus quiz on eLC immediately. A 100% is needed to access course notes.**

**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.**

**Course Information: **

MWF 11:30 am – 12:20 pm (Brooks 145)

MWF 4:10 pm – 5:00 pm (Brooks 145)

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

OFFICE HOURS Monday 10:20 am - 11:20 am (Office) Wednesday 7:50 am -8:50 am (Office Hours Zoom Link)

**FALL**** 2022 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.

8/17-19 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 8/23)

8/22-24 Chapter 4.3 and 4.4: Experimental Studies

8/26 Chapter 2.1: Different Types of Data

8/29 Chapter 2.2: Graphical Summaries PDF (We will wrap up from slide 22 on Wednesday)

8/31-9/2 Chapter 2.3 Measuring the Center of Quantitative Data and 2.4 Measuring the Variability of Quantitative Data (PPT)

9/2-7 Chapter 2.5 Measures of Position (PPT) (I will cover z-scores on 9/9)

9/3 Quiz 1 final due date. (This date has been changed from what was in the syllabus STAT2000 wide)

9/7 Quiz 1 discussion and expanded office hours

9/9 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.

9/12 Chapter 5 Computing Basic Probability & 5.2 Probability of Compound Events (PDF) (This material is not on Test 1)

9/14 5.3 Conditional Probability Activate your StatCrunch subscription before Monday.

9/15 Homework 2 due Descriptive Statistics (This is Module 1&2 focused)

9/16 Test 1 Updated Review Problems (Last year's Review and Review Problems)

9/16-18 Test 1

9/19 6.1 and 6.2 Probability Distributions (PDF), StatCrunch tutorial. (The remaining slides after the introduction to StatCrunch are for additional explanation).

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

10/3 Chapter 7 Sampling Distributions: Means (PDF)

10/5 Sampling distributions for means practice Solutions [If you are in my 11:30 class, please take the time to read over the solutions to the practice]

10/7 Homework 4 due Sampling Distributions (Module 4: Chapter 7)

10/7 Test 1 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

10/10 Module 5: Hypothesis Testing (PDF) Student-T Distributions and Standardized Statistics in brief (Slides 1-12) Practice

10/12 Module 5: Hypothesis Testing (PDF) Hypothesis Testing in Full (slides 13-35) Practice Solution

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

11/18 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

12/5 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!