BackMATH 1127 Statistics Course Syllabus and Schedule Overview
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Course Overview: MATH 1127 Statistics
This document provides the full-semester schedule and syllabus for a college-level statistics course (MATH 1127), covering foundational and advanced topics in probability and statistics. The schedule outlines weekly assignments, lesson topics, and due dates, as well as important course policies and technical support information.
Course Structure and Weekly Topics
Weeks 1-2: Introduction to Statistics, Frequency Distributions, and Describing Data
Weeks 3-4: Probability, Discrete Probability Distributions, and the Normal Distribution
Weeks 5-6: Sampling, Confidence Intervals, and Hypothesis Testing
Weeks 7-8: Testing Hypotheses, Differences Between Means/Proportions/Variances
Weeks 9-10: Regression, Correlation, ANOVA, and Chi-Square Analysis
Final Weeks: Comprehensive Review and Final Exam
Key Topics by Chapter
Ch. 1: Probability and Statistics Overview
Ch. 2: Frequency Distributions
Ch. 3: Describing Data
Ch. 4: Probability
Ch. 5: Discrete Distribution
Ch. 6: Normal Distribution
Ch. 7: Sampling and Confidence Intervals
Ch. 8: Testing Hypothesis
Ch. 9: Tests on the Difference Between Two Variances, Two Proportions, and Two Means
Ch. 10: Regression and Correlation
Ch. 11: ANOVA and Chi-Square Analysis
Assignments and Assessments
Weekly Assignments: Each week includes lessons, homework, and quizzes covering the chapter topics.
Exams: There are three main exams and a comprehensive final exam, each covering multiple chapters.
Practice and Review: Practice assignments and review sessions are scheduled before each exam.
Important Course Policies
Assignment Deadlines: All assignments are due by 11:59 PM on the specified dates.
Technical Support: Pearson customer support is available for issues with MyLab Statistics.
Access Codes: Students must register for MyLab Statistics using a permanent or temporary access code.
Exam Proctoring: Exams may require proctoring; students should check the course site for details.
Example Table: Weekly Schedule Overview
Week | Topics | Assignments | Due Date |
|---|---|---|---|
1 | Introduction to Statistics, Frequency Distributions | Lessons 1.1-2.2, Homework, Quiz 1 | 21 January 2026 |
2 | Describing Data, Probability | Lessons 2.3-4.2, Homework, Quiz 2 | 28 January 2026 |
3 | Discrete and Normal Distributions | Lessons 5.1-6.2, Homework, Quiz 3 | 4 February 2026 |
4 | Sampling, Confidence Intervals | Lessons 7.1-7.3, Homework, Quiz 4 | 11 February 2026 |
5 | Hypothesis Testing | Lessons 8.1-8.3, Homework, Quiz 5 | 18 February 2026 |
6 | Testing Differences | Lessons 9.1-9.3, Homework, Quiz 6 | 24 February 2026 |
7 | Regression, Correlation | Lessons 10.1-10.3, Homework, Quiz 7 | 3 March 2026 |
8 | ANOVA, Chi-Square | Lessons 11.1-11.3, Homework, Quiz 8 | 10 March 2026 |
Registration and Technical Instructions
Students must register for MyLab Statistics using the course ID and access code provided.
Step-by-step instructions are included for accessing course materials and assignments online.
Temporary access is available for 14 days if a permanent code is not yet obtained.
Summary
This syllabus provides a comprehensive roadmap for the study of statistics, ensuring students are prepared for all major topics, assignments, and assessments throughout the semester. The course covers all foundational areas required for a college-level statistics curriculum.
