Course Overview

Introduction

This syllabus outlines the structure, objectives, and policies for MAT 115/115P - Statistical Reasoning/Statistical Reasoning for College Success at Hagerstown Community College. The course is designed to introduce students to foundational concepts in statistics, emphasizing data collection, analysis, probability, and inferential methods.

Course Description & Objectives

Course Description

• Purpose: To provide a college-level mathematics course focused on statistical reasoning, suitable for students in various programs.

• Content: Covers data collection, summarizing data, probability, discrete and normal distributions, sampling, estimation, hypothesis testing, and inference on two population parameters.

• Skills Developed: Critical thinking, quantitative reasoning, and the ability to interpret and communicate statistical findings.

Student Learning Outcomes

• D1: Identify symbols, define terms, and read graphics relevant to the study of data.

• D2: Compare descriptive statistics from basic and summarized data, and create statistical graphics.

• D3: Describe data distributions from summary statistics and draw reasonable conclusions.

• P1: Identify symbols, define terms, and read data tables relevant to the study of probability.

• P2: Compute probabilities.

• P3: Explain implications of probability findings.

• I1: Identify symbols, define terms, and read graphics relevant to the study of statistical inference.

• I2: Compute statistical inference values.

• I3: Conclude from statistical inference and explain implications.

Course Structure & Assessment

Course Format

• Offered in face-to-face, hybrid, and asynchronous online formats.

• Includes lectures, homework assignments, chapter quizzes, and module exams.

Assessment Breakdown

Grading Scale

• A: 90% - 100%

• B: 80% - 89%

• C: 70% - 79%

• D: 60% - 69%

• F: < 60%

Topical Outline

Chapters & Topics

Course Tools & Requirements

• Textbook: Sullivan, M. (2021). Fundamentals of Statistics (6th ed.).

• Reliable Internet: Required for online resources and assessments.

• D2L: Online learning platform for course materials and communication.

• Hand Calculator: For statistical computations.

• Standard Keyboard & Mouse: For online assessments.

• Zoom: For virtual communication (if applicable).

Course Guidelines & Policies

Attendance

• Regular attendance required for lecture and hybrid formats.

• Online students must participate in scheduled activities.

Communication

• Students must check announcements and emails daily.

• Instructor communicates via D2L and email.

Academic Integrity

• Adherence to college policies on academic honesty is required.

• AI-generated work is not permitted.

Support Services

• Technical support available for online platforms.

• Accommodations for students with disabilities provided as needed.

Summary Table: Course Activities & Hours

Conclusion

This syllabus provides a comprehensive overview of the Statistical Reasoning course, including its objectives, structure, assessment methods, and policies. Students are expected to engage with all course materials, complete assignments and assessments, and adhere to college guidelines for academic integrity and participation.