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MATH 10H
Introductory Statistics - HONORS

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Course Description

This course is 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. MATH 10 and therefore Math 10H is a required lower-division course for students majoring or minoring in many disciplines such as data science, nursing, business, and others. Because this is an honors course, the students will be expected to complete extra assignments to gain deeper insight into probability and statistics.

Student Learning Outcomes

• Organize, analyze, and utilize appropriate methods to draw conclusions based on sample data by constructing and/or evaluating tables, graphs, and numerical measures of characteristics of data.
• Identify, evaluate, interpret and describe data distributions through the study of sampling distributions and probability theory.
• Collect data, interpret, compose and defend conjectures, and communicate the results of random data using statistical analyses such as interval and point estimates, hypothesis tests, and regression analysis.

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Course Details

Units

5 Units

Hours

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

Gen Ed

General Education Class

Program Status

Program Applicable

Credit

Credit - Degree Applicable

Transferability

Transferable to both UC and CSU

Grading Method

Letter Grading

Requisite and Advisory

Prerequisite(s)

Intermediate algebra or equivalent or higher, or appropriate placement beyond intermediate algebra

Advisory(ies)

ESL 272 and ESL 273, or ESL 472 and ESL 473, or eligibility for EWRT 1A or EWRT 1AH or ESL 5

Corequisite(s)

Limitations on Enrollment and Entrance Skills

Limitation(s) on Enrollment

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

Admission into this course requires consent of the Honors Program Coordinator.