Elementary Statistics Course Syllabus – Study Guide

Course Overview

Introduction to Elementary Statistics

This course provides a foundational understanding of statistics, focusing on the collection, organization, analysis, and interpretation of data. It is designed for students seeking to develop statistical reasoning and apply statistical methods to real-world problems.

• Course Title: Elementary Statistics (MATH 2193)

• Modality: Online

• Duration: 06/01/26 - 07/26/26

• Instructor: Contact information and office hours provided in the syllabus.

Course Structure and Grading

Grade Breakdown

Grades are determined by a combination of homework and exams. The following table summarizes the grade components and letter grade requirements:

Category	Percentage
Homework	33.33%
Exams	66.67%

Percentage	Letter Grade
90 - 100%	A
80 - 89%	B
70 - 79%	C
60 - 69%	D
0 - 59%	F

Course Content and Learning Outcomes

Topics Covered

The course covers the following major topics, which align with standard college statistics curricula:

• Statistical Terminology: Understanding types of data and research designs.

• Data Organization: Using tables, graphs, and frequency distributions to organize and interpret data.

• Descriptive Statistics: Calculating and interpreting measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation).

• Probability: Applying elementary probability laws, combinations, and permutations.

• Probability Distributions: Working with binomial and normal distributions.

• Statistical Inference: Estimating population parameters and constructing confidence intervals for means and proportions.

• Hypothesis Testing: Conducting hypothesis tests for population means and proportions, and for differences between two populations.

Additional info: These topics correspond to the following textbook chapters: Introduction to Statistics, Exploring Data with Tables and Graphs, Describing and Comparing Data, Probability, Discrete and Normal Probability Distributions, Estimation, Hypothesis Testing, Inferences from Two Samples, Correlation and Regression, and Chi-Square/ANOVA.

Required Materials

Textbook and Technology

• Textbook: Essentials of Statistics by Mario Triola, 7th Edition (Pearson)

• Online Platform: MyLab Math (access provided via the First Day program)

• Calculator: TI-84 or any non-CAS calculator is recommended for statistical computations.

Course Policies and Expectations

Attendance and Participation

• Students must complete all assignments and monitor their TCC email daily.

• Participation is defined as completing an online assignment within the first two weeks.

• Non-participation may result in administrative withdrawal (WN).

Assignment and Exam Policies

• Homework can be submitted late with a 5% penalty.

• Make-up exams require instructor permission.

• All exams are proctored in person at TCC Testing Centers or approved alternative sites.

Calculator and Technology Policy

• CAS calculators, cell phones, and unauthorized online calculators are not permitted during proctored assessments.

• Calculator use is at the instructor's discretion, following department policy.

Use of Artificial Intelligence (AI)

• AI tools (e.g., ChatGPT, Wolfram Alpha) may be used for checking work, but not as a substitute for learning.

• AI-generated solutions may be incorrect or inconsistent with course expectations.

• Proctored assessments do not allow AI tools; mastery of concepts is essential for success.

Academic Integrity and Institutional Policies

Academic Integrity

• Cheating, plagiarism, and other forms of academic dishonesty are strictly prohibited.

• Penalties may include a zero on the assignment, course failure, or referral to the Office of Student Conduct.

Student Support and Resources

• Science and Math Tutoring Centers offer in-person and online tutoring.

• Technical support is available for course platforms and technology.

• Accessibility Resources are available for students with disabilities.

Summary Table: Key Course Information

Component	Details
Textbook	Essentials of Statistics, Triola, 7th Edition
Calculator	TI-84 or non-CAS calculator
Online Platform	MyLab Math
Proctored Exams	Required at TCC Testing Centers or approved sites
Tutoring	Available in-person and online
AI Policy	Permitted for checking, not for assessments

Course Learning Outcomes

• Identify and use statistical terminology and research designs.

• Organize and interpret data using tables, graphs, and frequency distributions.

• Calculate and interpret measures of central tendency and variability.

• Apply probability laws and principles to compute probabilities.

• Work with binomial and normal probability distributions.

• Estimate population parameters using confidence intervals.

• Conduct hypothesis tests for means and proportions, including comparisons between two samples.

Additional info: For more details on institutional policies, academic integrity, and student resources, refer to the full syllabus and the TCC Student Handbook.