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Intro to Statistics – Online Higher Education Course

This Intro to Statistics online course is a critical thinking class designed to help students see order in chaos. Students gain data analysis skills that help them better understand the world and make better decisions.

A New Way to Learn Statistics

In this statistics course, students will:

Explain basic concepts of statistics and probability
Solve basic statistical problems using R
Understand, analyze, and criticize quantitative arguments using principles of statistics
Use statistics to make inferences in a variety of real-world situations

Gen Ed That Simply Works

All-inclusive Curriculum

With online, asynchronous courses that are ready to run, you can deliver high-quality learning and outcomes predictably.

Curriculum You Can Trust

This course is evaluated and recommended by the American Council on Education for 3 credits. So your students earn credits that meet rigorous academic standards.

Captivating Student Experience

Students enjoy cinematic lectures from experts in the field and interactive, mastery-based learning—all in a flexible, semester-long course that fits their schedules.

Unlimited Enrollment

With no minimum or maximum enrollment, students get the courses they need when they need them, so you can maintain quality across Gen Ed offerings without budget or staffing strain.

Discover the magic of learning with Intro to Statistics

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Watch the Trailer

Using data to decode our world

Key Concepts
Learning Outcomes
Assessments
Faculty Support
World-Class Lecturers

Key Statistics Concepts

Statistics and Data
The statistical process

Data and sampling

Experimental design and ethics

Frequency distributions, histograms, box plots, and scatter plots

Measures of center and spread
Probability
Rules of probability

Contingency tables

Random variables and probability distributions

Discrete random variables

Binomial distributions
Continuous Random Variables and Confidence Intervals
Continuous random variables and the uniform distribution

The normal distribution

The law of large numbers

The central limit theorem

Estimating confidence intervals using the normal distribution, the student’s t-distribution, and population proportions
Hypothesis Testing
Type I and II errors

Making decisions about hypotheses

Matched samples, paired samples, and independent samples
Other Statistical Analyses
The chi-square distribution

Correlation coefficients

Finding significance

Linear equations and linear regression

ANOVA testing

The f-distribution and the f-ratio

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Learning Outcomes

Course Learning Outcomes
Explain basic concepts of statistics and probability

Solve basic statistical problems using R

Understand, analyze, and criticize quantitative arguments using principles of statistics

Assessments

Quizzes and Exams
Course quizzes and exams consist of multiple choice, true/false, select all that apply, matching, and open-response questions. All are autograded by the LMS, so faculty can spend more time on hands-on instruction and student outcomes and less time grading.

Faculty Support & Dashboard

Encourage Student Mastery
Each course comes with additional tools to resource asynchronous learning:

Skills crosswalks

Course component walkthroughs

Section lesson plans

Chapter summaries

As a faculty member, you will receive graphic organizers, lesson plans, exam preparation materials, multi-language learner support resources, and educator guides to best support your students through this course.
Access All Course Material

Faculty and administrators have full access to the Partner Dashboard and all course material from Day 1.
View Course Milestones

Easy-to-use tools show milestone dates and deadlines for the cohort, as well as the full weekly course schedule.
Monitor Student Progress in Real Time

Coach students throughout the course—from registration to the final exam—with complete reporting on their current course grades, assessment scores, and engagement with course material.
Download Student Grades & Progress

Faculty and administrators can download student grades and full progress report details in CSV format.
Review Student Submissions for Graded Assessments

Faculty and administrators can view student-submitted answers to assignments, quizzes, and exams.

World-Class Lecturers

World-Class Lecturers
We selected 4 lecturers who are gifted communicators, each with a passion for teaching the tools of statistics through a critical thinking lens:

Ashley Carroll, M.S. College of Charleston (Hearst Magazines)

Olanrewaju Michael Akande, Ph.D., Duke University

Gregory Matthews, Ph.D., Loyola University Chicago

AnnMaria De Mars, Ph.D. University of California, Riverside (7 Generation Games and The Julia Group)

Frequently Asked Questions About Intro to Statistics

How are Outlier courses structured?

Outlier courses are divided into a series of chapters and sections. Each section contains cinematic video lectures and active learning (our interactive digital textbook) that help students learn the course content.

Students also get tons of practice with interactive question sets and mastery-based quizzes.
Are there any course prerequisites?

No.
Are there any student eligibility requirements?

Students must be at least 13 years old. Students who enroll in an Outlier course should be ready for the academic rigor of college-level coursework and carefully consider their existing responsibilities and dedication.
What technology does my school need to take Outlier courses?

Each student must have access to technology that meets the technical requirements noted in this Help Center article.
What is the minimum/maximum enrollment?

All Outlier courses have unlimited enrollment, with no minimum or maximum. So they easily adapt to your scheduling and staffing needs.
Is the course completely online?

Yes, Outlier courses are 100% online and asynchronous. Your students can learn during any class period—anywhere in the universe with Wi-Fi and a laptop or desktop computer.

*American Council on Education or (ACE) evaluates formal education courses and programs for college-level credit. For more information, visit ACE Learning Evaluations online at www.acenet.edu/evaluations.