Statway

Statway is a set of accelerated statistical reasoning course offerings designed to teach mathematics skills essential for a growing number of occupations and needed for decision-making under conditions of uncertainty.

Course Offerings and Learning Outcomes

All Statway courses are taught using a unique pedagogical approach that promotes collaborative learning and addresses social-emotional factors that affect student success. They also employ innovative curricula supported by aligned assessments and an online student platform. The curriculum provides students with a firm conceptual statistical understanding that allows them to use statistical tools and quantitative reasoning intelligently in their daily lives, as per the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education.

Statway includes a set of 1-2 term offerings that are designed to meet a range of developmental and college-level student needs. See below for full course descriptions.

Goal: College-Level Credit

The goal of the Statway Pathway is for students placed in developmental math to complete their developmental math requirements and a college-level statistics course in only two terms*.

Learning Outcomes

Students completing Statway will understand that data analysis is a process that begins with the formulation of a question that can be addressed with appropriate data, followed by the development of a thoughtful plan for identifying and collecting the necessary data. Students will know how data can be displayed and summarized in informative ways, and they will understand how the data can be used to draw conclusions in the presence of uncertainty.

The learning outcomes of Statway are grounded in statistical and mathematical reasoning. The reasoning occurs around major statistical topics reflected in the 11 modules:

  1. Module 1 focuses on the statistical analysis process and methodology.
  2. Module 2 focuses on distributions, including center and variability, and data visualization.
  3. Module 3 focuses on scatterplots, correlation, and regression.
  4. Module 4 focuses on patterns in data and exponential models.
  5. Module 5 focuses on two-ways tables and conditional probability.
  6. Module 6 focuses on probability, probability distributions, binomial distributions, Z-scores, and normal distributions.
  7. Module 7 focuses on sampling distributions, confidence intervals, and hypothesis tests for a population proportion.
  8. Module 8 focuses on sampling distributions of differences in two proportions, confidence intervals, and hypothesis tests for the difference in two population proportions.
  9. Module 9 focuses on sampling distributions of sample means, T-distributions and statistics, confidence intervals, hypothesis tests for population means, paired samples, and independent samples, and one-way ANOVA.
  10. Module 10 focuses on chi-square statistics and analyses.
  11. Module 11 focuses on modeling, proportions, and inequalities.

Materials

This offering uses two textbooks and an online homework platform that includes supplemental materials, exercises, and quizzes that support the learning outcomes in each module.

Implementation

This offering is typically implemented with 7 contact hours total (4 contact hours in the first term and 3 contact hours in the second) and provides 3 transfer-level credits over two semesters/terms.

*Accelerated Implementation. The goal of an Accelerated implementation is for students placed in developmental math to complete their developmental math requirements and a college-level statistics course in only one term. The accelerated implementation is not an official offering, but is supported by Carnegie Math Pathways. Implementation is typically a one-term course with higher contact hours. We have suggested logistics and strong success data for those interested in this implementation strategy.

Goal: College-Level Credit

Statway College is a one-term, college-level Statistics course that addresses all the college-level learning outcomes of the Statway Pathway, and incorporates the same pedagogical strategies, including Productive Persistence.

Learning Outcomes

The course covers all major topics typically contained in a college-level statistics course. It consists of seven modules:

  1. Statistical analysis process, data visualization, measures of center, shape, and spread
  2. Probability, probability distribution, and normal distribution
  3. Sampling distribution, confidence intervals, and hypothesis testing for sample proportions
  4. Sampling distribution, confidence intervals, and hypothesis testing for sample means
  5. Two-sample tests, ANOVA, and choosing an appropriate test
  6. Correlation and regression
  7. Chi-square

Materials

There is a student workbook (for in-class lessons) and an online homework platform that includes supplemental materials, exercises, and quizzes that support the learning outcomes in each module.

Implementation

The course is a 3 transfer-level credit course.

Goal: College-Level Credit

The goal of the Statway College with Corequisite offering is to provide a one-term, college-level statistics course for all students, with targeted supports built using the Carnegie Math Pathways design principles to provide effective scaffolding for students who need additional support. This offering consists of the one-term, college-level statistics course and a corresponding corequisite component. The corequisite component develops students’ statistical and algebraic reasoning skills in support of the learning outcomes of the college-level statistics course. This offering addresses all the learning outcomes of Statway, and incorporates the same pedagogical strategies.

Learning Outcomes

The college-level course covers all major topics typically addressed in a college-level statistics course. It consists of seven modules:

  1. Statistical analysis process, data visualization, measures of center, shape, and spread
  2. Probability, probability distribution, and normal distribution
  3. Sampling distribution, confidence intervals, and hypothesis testing for sample proportions
  4. Sampling distribution, confidence intervals, and hypothesis testing for sample means
  5. Two-sample tests, ANOVA, and choosing the appropriate test
  6. Correlation and regression
  7. Chi-square

The corequisite component addresses the foundational concepts and skills necessary for achieving the college-level learning objectives, and is designed to optimize support for the college-level learning objectives when it is needed.

Materials

For the college-level component, there is a student workbook (for in-class lessons) and an online homework platform that includes supplemental materials, exercises, and quizzes that support the learning outcomes in each module. Additionally, there is a Statway Corequisite workbook and corresponding online homework platform, which both include material to support Statway College. Faculty can choose to teach some or all of the corequisite lessons, depending on the needs of their student population or program. The corequisite resources address topics in both statistical and algebraic thinking that relate to the ensuing or prior lesson. These materials also include preparatory lesson materials and review/practice problems.

Implementation

The college-level component is designed as a 3 or 4 transfer-level credit course. The corequisite materials are designed to flexibly support a 1, 2, or 3 contact hour corequisite course depending on what is appropriate for student and program needs.

Goal: Preparation for Statway

The goal of Fundamentals is to bolster students’ proficiency with the prerequisite mathematical skills and understanding, such as basic arithmetic, needed for success in Statway.

Learning Outcomes

The learning outcomes cover fundamental mathematics and pre-algebra and statistics, which students need to succeed in the Pathways, and include major topics from arithmetic, algebra, and numeracy.

Materials

This offering consists of an online pool of lessons and practice problems from which faculty can construct their own course (stand-alone or corequisite), depending on their desired learning objectives and student needs.

Implementation

This offering is designed to be flexible. For example, it could be administered as:

  1. a stand-alone, prerequisite course to Statway, with 1-3 contact hours, or
  2. a corequisite taught in conjunction with the first term of Statway, with 1-3 contact hours.

Goal: Transition to College Algebra

The Pathways Bridge Materials are a set of lessons that colleges can use to provide Quantway or Statway students with a bridge to college algebra, business math, or pre-calculus courses. These materials have been collaboratively designed by network faculty using the instructional design principles of the Pathways curricula.

Learning Outcomes

We have created 8 lessons around the following topics:

  • Linear equations and inequalities, including systems
  • Functions
  • Exponent rules
  • Polynomials expressions, including quadratic equations and factoring
  • Rational expressions

Materials

The 8 lessons are available online to be printed for students.

(CC BY-SA 4.0)

Implementation

These lessons are designed to be implemented in any way that they are needed. For example, they can be administered at the end of a Pathway or integrated within a Pathway.

What One Student Says About Statway

"Why would colleges want to force students to take one to two years of remedial courses, when people like me are proving that we can be successful by starting right out in college statistics?"

Cesar Bernardo Torres,
Former Statway student at American River College

Getting Started with online Statway course options is as easy as 1-2-3

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Beginning early July, we are offering online faculty certification to teach our virtual Statway course offerings this fall.
In light of the current situation, we are currently offering our Statway Virtual certification courses
free of charge. Student access will be only $59 per student.

FAQs

The Carnegie Math Pathways courses were created and continue to be improved upon by faculty for faculty and use research-proven pedagogy to engage students in rich learning experiences. They are taught using a unique approach that promotes active, collaborative learning around real-life situations and incorporates embedded social-emotional supports that positively affect student success.

Statway was designed for non-STEM students who benefit from statistical reasoning skills in their field of study and for their career path. The Statway Pathway or Statway College with Corequisite courses provide developmental math supports throughout the curriculum and are recommended for students who place 2-3 levels below college-level math.

Statway was designed as a statistical reasoning pathway for students in non-STEM majors. Should students in this pathway need or desire to take pre-calculus courses, we have designed a set of open source Bridge materials that provide students with the algebraic reasoning skills they need to transition into college-level algebra and/or transfer to a STEM field. These, along with our full sample curriculum materials, are available on our Explorer portal, which you can sign up for here.

Additionally, a great new option for students interested in a STEM field is our College Algebra with Corequisite course.  Designed with the same emphasis on collaborative learning and real-world contexts as our Statway and Quantway courses, this course combines a one-term, college-level algebra course with a corresponding corequisite component aimed at developing students’ algebraic reasoning skills in support of the college-level learning outcomes. The materials are currently available for those who wish to pilot this course. For more information, contact us at info@carnegiemathpathways.org.

Yes. The Carnegie Math Pathways program offers a unique approach to learning mathematics and engages math faculty in new ways of teaching. To help them successfully launch their courses, we require faculty to participate in one of our multiple training opportunities so they become familiar with our distinct pedagogy, platform, and faculty resources.

To support faculty and their busy schedules, we offer a wide variety of training ranging from individual, self-paced courses to in-person trainings led by experienced Carnegie Math Pathways Faculty Mentors. Our newest offering is a self-paced, online faculty certification course designed to give faculty the information and support they need to prepare to teach our new fully online courses this fall. More information about our faculty certification is available on our Explorer portal. Click on the Get Started button to start exploring further.