This page provides aligned teaching materials for Introductory Statistics, including detailed instructor guides and instructional presentation slides. Each resource is built around Lumen’s framework for Evidence-Based Teaching Practices, with the goal of supporting an active, engaged, and connected classroom — while also making your job easier.
JUMP TO: Course Information | Instructor Guides | Slide Decks | Guided Notes
Practice Problems + Keys | Question Banks for Exams
Lumen’s Statistical Technology Tools | Meet Our Video Faculty
*NEW* Instructor Guide Supplement
Messaging for students: value of practice, AI use, purpose of assessment
Course Information
You may want to reference module titles, topic areas, or specific learning outcomes in your syllabus.
Sample Syllabus
This visual syllabus is designed to help you convey openness and connection from the start of class. It includes sample language to describe Lumen One.
- Download a Sample Visual Syllabus – for digital use
- Download a Sample Visual Syllabus – for print
- Additional Recommended Syllabus Language
Instructor Guides
Instructor Guides are provided for each module to support active learning, conceptual investigation, and collaboration. Each guide includes an overview of the module content, a summary of what students encounter in key sections, and a list of learning outcomes. You’ll also find engaging classroom activities with accompanying materials such as handouts and worksheets. Activities come with a suggested instructional plan, alignment to evidence-based teaching practices, discussion prompts, and an online variation that can be integrated into your LMS for hybrid or asynchronous classes.
Module 1 Instructor Guide: Thinking Statistically and Collecting Data
Module 2 Instructor Guide: Statistical Studies
Module 3 Instructor Guide: Describing Data Graphically
Module 4 Instructor Guide: Describing Data Numerically
Module 5 Instructor Guide: Modeling and Analysis of Bivariate Data
Module 6 Instructor Guide: Probability
Module 7 Instructor Guide: The Normal Distribution
Module 8 Instructor Guide: Introduction to Sampling Distributions
Module 9 Instructor Guide: Confidence Intervals for Population Proportions
Module 10 Instructor Guide: Hypothesis Testing for Population Proportions
Module 11 Instructor Guide: Confidence Intervals for Population Means
Module 12 Instructor Guide: Hypothesis Testing for Population Means
Module 13 Instructor Guide: Analysis of Variance
Module 14 Instructor Guide: Chi-Square Statistics
Module 15 Instructor Guide: Inferences Concerning Regression Models
Module 16 Instructor Guide: Multiple Linear Regression
Module 17 Instructor Guide: Bootstrap and Simulation-Based Statistics
Module 18 Instructor Guide: Additional Concepts in Probability
Module 19 Instructor Guide: Additional Concepts in Probability Distributions
Presentation Slide Decks
Google Slides are available for each module to help you introduce and reinforce key concepts in class. Each deck of slides aligns with learning outcomes, providing concise explanations, visuals, video, and opportunities for active engagement. They’re designed to complement the Instructor Guides, offering a flexible framework you can adapt for lectures, discussions, or group activities.
Some slides contain notes or links to our Instructor Guides. If you share slide decks with your students but wish to leave out the notes or links, downloading a PDF version will result in a file that contains all the slides without the speaker notes.
Module 1 Presentation Slides – Thinking Statistically and Collecting Data
Module 2 Presentation Slides – Statistical Studies
Module 3 Presentation Slides – Describing Data Graphically
Module 4 Presentation Slides – Describing Data Numerically
Module 5 Presentation Slides – Modeling and Analysis of Bivariate Data
Module 6 Presentation Slides – Probability
Module 7 Presentation Slides – The Normal Distribution
Module 8 Presentation Slides – Introduction to Sampling Distributions
Module 9 Presentation Slides – Confidence Intervals for Population Proportions
Module 10 Presentation Slides – Hypothesis Testing for Population Proportions
Module 11 Presentation Slides – Confidence Intervals for Population Means
Module 12 Presentation Slides – Hypothesis Testing for Population Means
Module 13 Presentation Slides – Analysis of Variance
Module 14 Presentation Slides – Chi-Square Statistics
Module 15 Presentation Slides – Inferences Concerning Regression Models
Module 16 Presentation Slides – Multiple Linear Regression
Module 17 Presentation Slides – Bootstrap and Simulation-Based Statistics
Module 18 Presentation Slides – Additional Concepts in Probability
Module 19 Presentation Slides – Additional Concepts in Probability Distributions
Guided Notes
As an instructor, you have the option of encouraging student use of these guided notes (they can access them through the course link “Students: Additional Lumen Resources”). These guides serve as a flexible, scaffolded tool to support student learning throughout the course, whether note-taking in class or working through the Study Plan. Though not comprehensive, they do provide a minimal outline for students to follow and may also be useful as a study guide for students. Instructions for students: These notes are designed to help you follow along with the material if you find that helpful. You’re welcome to use these guided notes, modify them, or not use them at all – it’s entirely up to you. They won’t be collected or graded; they’re simply there as an extra tool if you want it.
Module 1 Guided Notes: Thinking Statistically and Collecting Data
Module 2 Guided Notes: Statistical Studies
Module 3 Guided Notes: Describing Data Graphically
Module 4 Guided Notes: Describing Data Numerically
Module 5 Guided Notes: Modeling and Analysis of Bivariate Data
Module 6 Guided Notes: Probability
Module 7 Guided Notes: The Normal Distribution
Module 8 Guided Notes: Introduction to Sampling Distributions
Module 9 Guided Notes: Confidence Intervals for Population Proportions
Module 10 Guided Notes: Hypothesis Testing for a Population Proportions
Module 11 Guided Notes: Confidence Intervals for Population Means
Module 12 Guided Notes: Hypothesis Testing for Population Means
Module 13 Guided Notes: Analysis of Variance
Module 14 Guided Notes: Chi-Square Statistics
Module 15 Guided Notes: Inferences Concerning Regression Models
Module 16 Guided Notes: Multiple Linear Regression
Module 17 Guided Notes: Bootstrap and Simulation-Based Statistics
Module 18 Guided Notes: Additional Concepts in Probability
Module 19 Guided Notes: Additional Concepts in Probability Distributions
Get Stronger Practice Problems
Additional practice problems for students that are closely aligned to the module topics. For students, these practice problems are available on the page titled, “Students: Additional Lumen Resources.”
Module 1
Data Collection and Organization Student Pages + Answers
Statistical Questions Student Pages + Answers
Random Sampling Student Pages + Answers
Sampling Methods Student Pages + Answers
Module 2
Experimental Design Student Pages + Answers
Observational Studies Student Pages + Answers
Advanced Experimental Design Student Pages + Answers
Complex Graphical Displays + Answers
Effective Visualizations + Answers
Module 3
Displaying Categorical Data Student Pages + Answers
Applications of Bar Graphs Student Pages + Answers
Visualizing Quantitative Data Student Pages + Answers
Distribution of Quantitative Variables Student Pages + Answers
Comparing Quantitative Distributions Student Pages + Answers
Module 4
Measures of Center + Answers
Interpreting the Mean and Median + Answers
Boxplot Data and Displays + Answers
Measures of Variability + Answers
Z-Score and the Empirical Rule + Answers
Module 5
Scatterplots + Answers
Line of Best Fit + Answers
Equation of the Line of Best Fit + Answers
Coefficient of Determination + Answers
Assessing the Fit of a Line + Answers
Making Predictions + Answers
Module 6
Probability + Answers
Probabilities of Two Events + Answers
Conditional Probabilities + Answers
Module 7
Probability Distributions + Answers
Normal Distribution + Answers
Normal Distribution (continued) + Answers
Module 8
Inference Basics + Answers
Sampling Distribution of a Sample Proportion + Answers
Sampling Variability + Answers
Module 9
Confidence Interval for Proportions + Answers
Confidence Interval for Proportions (continued) + Answers
Sample Size for Proportions + Answers
Confidence Intervals for the Difference in Population Proportions + Answers
Module 10
Null and Alternative Hypotheses + Answers
Test Statistics + Answers
P-Value + Answers
One-Sample Hypothesis Test for Proportions + Answers
Errors in Hypothesis Testing + Answers
Two-Sample Test for Proportions + Answers
Connecting Tests and Intervals + Answers
Module 11
Sampling Distribution of a Sample Mean + Answers
t-distribution + Answers
Confidence Interval for Population Mean + Answers
Confidence Interval for Difference in Population Means + Answers
Module 12
Null and Alternative Hypothesis for Means + Answers
One-Sample Hypothesis Test for Means + Answers
Comparing Two Population Means (Independent Samples) + Answers
Comparing Two Population Means (Dependent Samples) + Answers
Module 13
Introduction to One-Way ANOVA + Answers
Conditions for ANOVA+ Answers
ANOVA+ Answers
Pair-wise Comparisons for ANOVA+ Answers
Module 14
Introduction to Chi-Square Statistics + Answers
Chi-Square Test for Goodness of Fit + Answers
Chi-Square Test of Homogeneity + Answers
Chi-Square Test of Independence + Answers
Fisher’s Exact Test + Answers
Module 15
Test for Significance of Slope + Answers
ANOVA for Regression + Answers
Confidence Interval and Prediction Interval + Answers
Transforming Data + Answers
Module 16
Multiple Linear Regression + Answers
Indicator Variable + Answers
Interaction Terms + Answers
Module 17
Bootstrap Distribution and Confidence Interval for a Population Mean + Answers
Bootstrap Confidence Interval + Answers
Simulation-Based Hypothesis Test for a Population Proportion + Answers
Simulation-Based Hypothesis Test for a Difference in Proportions + Answers
Module 18
Probability with Venn Diagram
Probability with Tree Diagram
Bayes’ Theorem
More Conditional Probabilities + Answers
Module 19
Discrete Probability Distributions + Answers
Binomial Distribution + Answers
Connection Between Binomial and Normal Distributions + Answers
Question Banks for Midterms and Finals
Lumen One provides access to outcome-aligned question banks that you can use to build your own midterms and finals. We provide these banks as QTI files, a standard format that allows you to import questions, build, and customize quizzes in most learning management systems (Canvas, Blackboard, etc.). These files cannot be opened outside of an LMS.
Note: It is your responsibility to handle question banks and answer keys securely and appropriately to prevent them from being widely available and searchable via the Internet.
Available Question Banks
Question Bank 1 (Modules 1-7)
This question bank includes 170 questions aligned to the outcomes in Modules 1-7. Click the name of your LMS to prompt the download of the file.
Here are the recommended stats tools for Question Bank 1
Question Bank 2 (Modules 8-12)
This question bank includes 110 questions aligned to the outcomes in Modules 8-12. It is broken into two files to make the size more manageable. Click the name of your LMS to prompt the download of the file.
- Canvas 1-60, Canvas 61-110
- Blackboard 1-60, Blackboard 61-110
- Brightspace D2L 1-60, Brightspace D2L 61-110
Question Bank 3 (Modules 13-19)
This question bank includes 127 questions aligned to the outcomes in Modules 13-19. It is broken into two files to make the size more manageable. Click the name of your LMS to prompt the download of the file.
- Canvas 1-62, Canvas 63-127
- Blackboard 1-62, Blackboard 63-127
- Brightspace D2L 1-62, Brightspace D2L 63-127
How to Import
You must download the question bank specific to your LMS, open the file on your computer, and follow LMS-specific instructions for importing each module.
Please use the import instructions in our Lumen One knowledge-base for Blackboard, Brightspace, Canvas, and Moodle.
Printable Exams
If you prefer to give paper and pencil assessments, download and print these pdf exams, but please handle securely as noted above.
Midterm Project
If you prefer a project based midterm assessment, this can be given to students anytime after they complete Module 12
Lumen’s Statistical Technology Tools
Your course includes access to more than 25 Statistical Technology Tools that students can use to make statistical calculations, visualize key concepts and analyze data. Originally created by Bernhard Klingenberg for the Charles A. Dana Center at The University of Texas at Austin, Lumen’s Statistical Technology Tools are designed to help bring key understandings to life while students complete investigations with real data.
Tools are embedded directly in the course text and linked on assessment questions. You and your students can also access all tools directly via the “Lumen One Statistical Technology Tools” link in your course materials. (If the link is missing, you may need to add it. How to import links in your LMS.)
Pro Tips:
- You can share this document with students for anytime access to the tools outside of your LMS. Students can also open the main tools link in a new tab as they explore course materials or take Lumen One assessments.
- To allow students to use these tools during proctored assessments, check your proctoring software’s documentation for how to whitelist this URL: https://lumen-learning.shinyapps.io/
Meet Our Faculty
Throughout the courseware, students have the chance to see how multiple faculty approach the same problem. Three amazing instructors have recorded videos solving embedded practice questions in their own style and voice. They explain the step-by-step solution and the “why” behind their approach . This gives students the opportunity to follow along with a single faculty member or watch all three for a deeper understanding.
You can see an example on the final page of “Learn It” content for “Statistical Questions” in the Data Types and Organization module.
Offline Content Access
NOTE: the epub contains the Learn It and Apply It content only. There are no interactives, videos, practice questions, or assessments included in these files and some images will not display in this format. You will need to download and open the epub within an e-reader, such as iBooks or ReadEra.
This epub is designed to assist you in preparation for your course(s) using Lumen One or OHM or as a resource for students requiring accessibility accommodations.
If your students are interested in a printed version of the Learn It and Apply It content, we offer 3-hole punched copies which can be ordered through your bookstore or directly by students here.