Class Details

STAT 1000
Introduction to Statistics

Course Description

Part 1: This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. Part 2: This course is also an introduction to data analysis, making use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with an emphasis on understanding variation collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, social sciences, psychology, the sciences, and those pertaining to issues of contemporary interest. The use of technology (computers or graphing calculators) will be required in certain applications. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced. This Statistics course is a required lower-division course for students majoring or minoring in many disciplines, such as data science, nursing, business, and others.

Class Details

Class Dates: This class runs from 2025-09-22 to 2025-12-12.
Footnote:
STAT-C1000.68Z: TI-83 Plus or TI-84 Plus calculator is recommended and may be required for this course. Fully ONLINE. This is an online class that does not have scheduled meetings. Students can log in anytime to do the required weekly course work. Students must have access to a computer, the internet and an individual email address. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Most De Anza classes will use the Canvas course management system. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remotelearning .

Class Materials

View textbook and/or other materials available at the Bookstore.

Course Details

Units

5 Units

Hours

• Weekly Lecture Hours: 5
• Weekly Lab Hours: 0

Formerly

(Formerly STAT D010./MATH D010.)

Program Status

Program Applicable

Credit

Credit - Degree Applicable

Grading Method

Letter Grading

General Course Statement

General Statement

See general education pages for the requirements this course meets.

Requisite and Advisory

Advisory

ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.

Prerequisite

Placement as determined by the college’s multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra.

Limitations on Enrollment and Entrance Skills

Limitations on Enrollment

Not open to students with credit in the Honors Program related course.