MAT2000EN - Intro to Statistics

Course description

An introduction to statistics covers the following topics: organization and summarization of data, descriptive statistics, statistical inference (confidence intervals, hypothesis testing, estimation), introduction to probability.

How this course benefits students

Every missional student must have basic understanding of statistics. This course will expose students to basic statistical tools that can be used on the missional field. It will also prepare students for higher level statistics courses.

Why this course is important

This course will prepare students for the growing importance of understanding and analyzing data and statistics.

Credit hours
3 hours
Subject area
Mathematics
Educational level
Associate
Distribution
Mathematics Distribution
Learning type
Instructional
Prerequisites
None
Upcoming terms
Pending
* Schedule subject to change. Please contact the Registrar's office with schedule questions.

How this course relates to missional core values

Biblically based

This course will engage students to recognize the significance of mathematics in the world. Mathematics illustrates the beauty of God and supports his existence. The course will be taught from a Christian perspective.

Missionally driven

Everyone needs to recognize mathematics as an integral part of God's creation. Mathematics provides insight into God's work. It is essential for every missional students to have background in mathematics.

Contextually informed

Developmental course in statistics. It involves applications of elementary statistics to day-to-day problems. It is designed for students who want to broaden their knowledge and opportunities in statistics.

Interculturally focused

Students will be engaged to appreciate the contributions of all cultures to the development of statistics. Statistical tool can be applied to issues faced in all cultures.

Practically minded

Students will be able to use basic statistical tools in a variety of applications in physical and biological sciences, social sciences, and economics.

Experientially transformed

Students will explore with statistical tools to organize and analyze data.