| 11/28/2024 12:49:32 AM |
| New Course (First Version) |
| CATALOG INFORMATION
|
| Discipline and Nbr:
MATH 215 | Title:
STAT CONCURRENT SUPPORT |
|
| Full Title:
Elementary Statistics Concurrent Support |
| Last Reviewed:9/9/2024 |
| Units | Course Hours per Week | | Nbr of Weeks | Course Hours Total |
| Maximum | 2.00 | Lecture Scheduled | 2.00 | 17.5 max. | Lecture Scheduled | 35.00 |
| Minimum | 2.00 | Lab Scheduled | 0 | 8 min. | Lab Scheduled | 0 |
| | Contact DHR | 0 | | Contact DHR | 0 |
| | Contact Total | 2.00 | | Contact Total | 35.00 |
| |
| | Non-contact DHR | 0 | | Non-contact DHR Total | 0 |
| | Total Out of Class Hours: 70.00 | Total Student Learning Hours: 105.00 | |
Title 5 Category:
AA Degree Applicable
Grading:
P/NP Only
Repeatability:
00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As:
Formerly:
Catalog Description:
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A review of the core prerequisite skills, competencies, and concepts needed in statistics. Intended for students who are concurrently enrolled in (MATH 15) Elementary Statistics. Topics include concepts from arithmetic, pre-algebra, elementary and intermediate algebra, and descriptive statistics that are needed to understand the basics of college-level statistics. Additional emphasis is placed on solving and graphing linear equations and modeling with linear functions.
Prerequisites/Corequisites:
Concurrent Enrollment in STAT C1000 ( or MATH 15)
Recommended Preparation:
Limits on Enrollment:
Schedule of Classes Information
Description:
Untitled document
A review of the core prerequisite skills, competencies, and concepts needed in statistics. Intended for students who are concurrently enrolled in (MATH 15) Elementary Statistics. Topics include concepts from arithmetic, pre-algebra, elementary and intermediate algebra, and descriptive statistics that are needed to understand the basics of college-level statistics. Additional emphasis is placed on solving and graphing linear equations and modeling with linear functions.
(P/NP Only)
Prerequisites:Concurrent Enrollment in STAT C1000 ( or MATH 15)
Recommended:
Limits on Enrollment:
Transfer Credit:
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP
ARTICULATION, MAJOR, and CERTIFICATION INFORMATION
| Associate Degree: | Effective: | | Inactive: | |
| Area: | | |
| |
| CSU GE: | Transfer Area | | Effective: | Inactive: |
| |
| IGETC: | Transfer Area | | Effective: | Inactive: |
| |
| CSU Transfer: | | Effective: | | Inactive: | |
| |
| UC Transfer: | | Effective: | | Inactive: | |
| |
| C-ID: |
Certificate/Major Applicable:
Not Certificate/Major Applicable
Approval and Dates
| Version: | 01 | Course Created/Approved: | 10/22/2018 |
| Version Created: | 9/14/2018 | Course Last Modified: | 9/10/2024 |
| Submitter: | Ivana Gorgievska | Course Last Full Review: | 9/9/2024 |
| Version Status: | Approved New Course (First Version) | Prereq Created/Approved: | 9/9/2024 |
| Version Status Date: | 10/22/2018 | Semester Last Taught: | Summer 2024 |
| Version Term Effective: | Summer 2019 | Term Inactive: | Fall 2025 |
COURSE CONTENT
Student Learning Outcomes:
At the conclusion of this course, the student should be able to:
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1. Apply arithmetic, pre-algebra, and algebra skills necessary for success in Elementary
Statistics.
2. Apply knowledge of algebra and descriptive statistics to inferential statistics.
Objectives:
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At the conclusion of this course, the student should be able to:
1. Apply statistics-related pre-algebra skills necessary for success in Elementary Statistics.
2. Apply statistics-related algebra skills necessary for success in Elementary Statistics.
3. Apply descriptive statistics to communicate findings in the context of the data.
4. Apply knowledge of linear functions to construct, use, and interpret mathematical models to
represent and communicate relationships in quantitative data.
5. Apply proportional reasoning, percents, and fractions to probability problems found in an
Elementary Statistics course.
6. Recognize the distinction between sample statistics and population parameters and interpret
the results of statistical inference contextually.
7. Use technology to solve problems found in an Elementary Statistics course, such as
calculating probabilities, data exploration, regression, and statistical inference.
8. Apply effective learning strategies for success in college.
Topics and Scope
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I. Topics from Pre-Algebra: Review of Pre-Algebra Topics, as Needed, in the Context of
Statistics That May Include:
A. Arithmetic of signed numbers
B. Conversion of verbal descriptions of inequalities to interval form, graphical and algebraic
form
C. Operations with fractions, as needed, proportions, ratios and percent
D. Exponents, square roots, scientific notation
E. Simplification of algebraic expressions; order of operations
F. Graphing fractions, decimals, and signed numbers on a number line
G. Graphing ordered pairs in the Cartesian coordinate system
II. Topics from Beginning and Intermediate Algebra: Review of Algebra Topics, as Needed, in
the Context of Statistics That May Include:
A. Evaluation of expressions and formulas
B. Mathematical models
C. Linear functions, constant rate of change, graphing, interpreting slope and y-intercept in
context
D. Scatterplots and regression lines
E. Area under the graph of a function
III. Topics from Elementary Statistics: Concurrent Support for Statistical Topics That May
Include:
A. Summarizing and communicating essential features of data sets
B. Interpreting results of statistical inference in context
C. Calculating probabilities and using the rules of probability in applied situations
IV. Technology (Calculator or Computer Software)
A. Evaluate Formulas
B. Calculate probabilities
C. Analyze data
D. Perform statistical inference
V. Topics Related To Developing Effective Learning Skills
A. Study skills: organization and time management, test preparation and test-taking skills
B. Self-assessment: using performance criteria to judge and improve one's own work,
analyzing and correcting errors on one's test
C. Use of resources: strategies identifying, utilizing, and evaluating the effectiveness of
resources in improving one's own learning, e.g., peer study groups, computer
resources, lab resources, tutoring resources
Assignments:
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1. Reading outside of class (0-60 pages per week)
2. Problem sets (5-16 per week)
3. Quizzes (0-4 per week)
4. Projects (0-5)
5. Exams (0-5)
6. Final exam
Methods of Evaluation/Basis of Grade.
| Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing. | Writing
0 - 0% |
| None | |
| This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course. |
|
| Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving
5 - 80% |
| Problem sets | |
| Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations
0 - 0% |
| None | |
| Exams: All forms of formal testing, other than skill performance exams. | Exams
20 - 50% |
| Exams and quizzes | |
| Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category
0 - 50% |
| Projects | |
Representative Textbooks and Materials:
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Elementary Statistics. 13th ed. Triola, Mario. Pearson. 2018
Mathematics in Action: An Introduction to Algebraic, Graphical, and Numerical Problem Solving. 5th ed. The Consortium for Foundation Mathematics. Pearson. 2016
Intermediate Algebra: Functions & Authentic Applications. 5th ed. Pearson. 2015
Instructor prepared materials
OTHER REQUIRED ELEMENTS
| Student Preparation |
| Matric Assessment Required: | | Unknown |
| Prerequisites-generate description: | A | Auto-Generated Text |
| Advisories-generate description: | NA | No Advisory |
| Prereq-provisional: | N | NO |
| Prereq/coreq-registration check: | Y | Prerequisite Rules Exist |
| Requires instructor signature: | N | Instructor's Signature Not Required |
| | | |
| BASIC INFORMATION, HOURS/UNITS & REPEATABILITY |
| Method of instruction: | 02 | Lecture |
| Area department: | MATH | Mathematics |
| Division: | 73 | Science, Technology, Engineering & Mathematics |
| Special topic course: | N | Not a Special Topic Course |
| Program Status: | 2 | Not Certificate/Major Applicable |
| Repeatability: | 00 | Two Repeats if Grade was D, F, NC, or NP |
| Repeat group id: | | |
| | | |
| SCHEDULING |
| Audit allowed: | N | Not Auditable |
| Open entry/exit: | N | Not Open Entry/Open Exit |
| Credit by Exam: | N | Credit by examination not allowed |
| Budget code: Program: | 0000 | Unrestricted |
| Budget code: Activity: | 1701 | Mathematics-General |
| | | |
| OTHER CODES |
| Disciplines: | Mathematics |
| Basic Skills: | N | Not a Basic Skills Course |
| Level below transfer: | A | 1 Level Below the Transferable Level |
| CVU/CVC status: | N | Not Distance Ed |
| Distance Ed Approved: | N | |
| Emergency Distance Ed Approved: | Y | Fully Online
Partially Online
Online with flexible in-person activities
|
| Credit for Prior Learning: | N | Agency Exam |
| N | CBE |
| N | Industry Credentials |
| N | Portfolio |
| Non-credit category: | Y | Not Applicable, Credit Course |
| Classification: | Y | Liberal Arts and Sciences Courses |
| SAM classification: | E | Non-Occupational |
| TOP code: | 1701.00 | Mathematics, General |
| Work-based learning: | N | Does Not Include Work-Based Learning |
| DSPS course: | N | NO |
| In-service: | N | Not an in-Service Course |
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