# Basic Introductory Statistics - Distance Calculus Course Information

Basic Statistics course can best be described as a "first course of an introduction to basic statistics (without calculus)".This course has many names, all being equivalent:

- Introductory Statistics
- General Statistics
- Basic Statistics
- General Education Statistics

Our Basic Statistics course differs from a classroom/textbook-based course in that we employ Mastery Learning so that you complete all assignments at 100% to assure competancy, as well as our curriculum shifting the course to a laboratory-style course, where theorem/lemma/proof type exposition is replaced by running experiments in Mathematica as you would in a science laboratory to empirically deduce the concepts and behaviors of basic statistics, both solvable (classically) via hand-based techiques, as well as studying basic statistics and probability that can only be solved and investigated graphically and numerically using a computer. The Basic Statistics curriculum is highly visual and based upon observations of experiments run in LiveMath.

At Distance Calculus, we call our "Basic Statistics" course as Basic Statistics - DMAT 125 - 4 credits.

Below are some links for further information about the Basic Statistics course via Distance Calculus @ Roger Williams University.

#### Freshman Math Courses

- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]

#### Sophomore Math Courses

- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]

#### Honors Math Courses

- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]

#### Lower Division Math Courses

- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]

#### Upper Division Math Courses

- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]

- Basic Statistics Summer 2024 Online Course
- Basic Statistics Winter 2024 Online Course
- Basic Statistics Fall 2024 Online Course

## Distance Calculus - Student Reviews

*Date Posted: Sep 6, 2020*

Review by: Mark L.

Courses Completed: Applied Calculus

Review: Great course. Because of this class I was able to meet the entry requirements for my EMBA program on a tight time window in addition to sharpening math skills from classes taken over 15 years ago!

Transferred Credits to: MIT

*Date Posted: Apr 30, 2020*

Review by: Hannah J.

Courses Completed: Probability Theory

Review: Probability Theory was a great course. Very very thorough. I thought it would never end :). I was very prepared for my coursework in economics. Excellent refereshher of derivatives and integrals - really forced me to remember that stuff from freshman cal.

Transferred Credits to: Boston University

*Date Posted: Jan 12, 2020*

Review by: Mark Neiberg

Courses Completed: Calculus I, Calculus II, Multivariable Calculus

Review: Curriculum was high quality and allowed student to experiment with concepts which resulted in an enjoyable experience. Assignment Feedback was timely and meaningful.