Course Overview

Introduction to Elementary Statistics

This course provides a comprehensive introduction to statistics, covering both descriptive and inferential statistical methods. Students will learn to summarize, analyze, and interpret data using tables, graphs, and statistical calculations. The course emphasizes statistical thinking and applications across various disciplines, including business, social sciences, psychology, health sciences, and education.

• Descriptive Statistics: Summarizing and interpreting data using tables, graphs, and numerical measures.

• Probability: Understanding classical probability theory and its applications.

• Probability Distributions: Analysis of binomial, normal, t, chi-square, and F distributions.

• Estimation: Constructing and interpreting confidence intervals for population parameters.

• Hypothesis Testing: Performing tests for one and two populations, including interpretation of p-values and critical values.

• Correlation and Regression: Analyzing relationships between variables and constructing regression equations for prediction.

• ANOVA and Chi-Square Tests: Conducting and interpreting analysis of variance and tests for independence.

• Nonparametric Tests: Introduction to statistical methods that do not assume a specific distribution.

Course Structure and Requirements

Materials and Tools

• Textbook: Statistics: Informed Decisions Using Data (6th Edition) by Michael Sullivan III (eTextbook via Pearson MyLab Statistics).

• Calculator: TI-84 Plus required for all quizzes and exams.

• Statistical Software: Integrated throughout the course for data analysis.

Assessment Components

• Homework: Completed through MyLab Statistics; no make-up policy.

• Quizzes: Weekly chapter quizzes, syllabus quiz, and Honorlock practice quiz. One lowest quiz score dropped (excluding required quizzes).

• Exams: Two midterm exams and a comprehensive final exam, all proctored via Honorlock. Formula sheets provided during exams.

• Discussions: Two graded discussions requiring both initial posts and replies. Participation is mandatory.

• Self-Check Quizzes: Optional, ungraded quizzes for practice and review.

Grading Policy

Grade Scale:

Weekly Schedule

Assignment Timeline and Chapter Coverage

The course is organized into six weeks, each with specific assignments, quizzes, and exams. Students are expected to complete all tasks by the posted due dates and participate actively in discussions and practice quizzes.

• Week 1: Introduction, Syllabus Quiz, Chapter 1 Homework & Quiz, Meet Your Classmates Discussion.

• Week 2: Chapters 2–6 Homework & Quizzes, Discussion 1, Exam 1 (Honorlock, Chapters 1–3, 5–6).

• Week 3: Chapters 7–10 Homework & Quizzes, Exam 2 (Honorlock, Chapters 7–10).

• Week 4: Chapters 11–12 Homework & Quizzes, Discussion 2.

• Week 5: Chapters 13–14 Homework & Quizzes, Final Exam (Honorlock).

• Week 6: Final assignments, Discussion 2, course wrap-up.

Student Learning Outcomes and Objectives

Key Competencies

• Data Analysis: Analyze and present data using tables, graphs, and statistical calculations.

• Estimation: Make inferences about population characteristics using appropriate estimation procedures.

• Hypothesis Testing: Select and perform hypothesis tests for population parameters.

• Statistical Software: Use TI-84 calculator and statistical software for data analysis.

• Critical Evaluation: Critically evaluate statistical claims and interpret results.

Course Policies and Expectations

Academic Integrity

• Cheating, plagiarism, unauthorized collaboration, and AI-generated work are strictly prohibited.

• Violations may result in a score of zero, referral to Student Judicial Affairs, and additional disciplinary action.

Technical Requirements

• Honorlock proctoring system required for all quizzes and exams.

• Students must use a laptop or desktop computer, Google Chrome, Honorlock extension, webcam, and microphone.

• Tablets, smartphones, and dual monitors are not permitted during proctored assessments.

Support and Resources

• Free tutoring available through Math Lab, Smarthinking Online Tutoring, and campus support services.

• Accommodations for students with disabilities provided through DSPS.

Summary Table: Weekly Schedule

Additional info: The course schedule and assignments are designed to cover all major topics in college-level statistics, including data collection, descriptive and inferential statistics, probability, distributions, hypothesis testing, correlation, regression, ANOVA, and chi-square tests. The use of the TI-84 calculator and statistical software is emphasized throughout the course for practical data analysis.