Statistics I (MATH 1200) Syllabus and Course Overview

Course Overview

This syllabus outlines the structure, objectives, and policies for Statistics I (MATH 1200) at CT State Community College for Spring 2026. The course introduces students to the foundational concepts and methods of statistics, emphasizing data analysis, probability, and inferential techniques.

Course Topics

• Introduction to Statistics: Understanding the role of statistics in various disciplines, types of data, and the importance of data analysis.

• Descriptive Statistics: Summarizing and describing data using measures of central tendency, variation, and graphical displays.

• Probability: Basic probability concepts, including rules, counting methods, and probability distributions.

• Discrete and Normal Probability Distributions: Exploring binomial and normal distributions, their properties, and applications.

• Confidence Intervals: Constructing and interpreting confidence intervals for population parameters.

• Hypothesis Testing: Conducting hypothesis tests for one and two samples, including tests for means and proportions.

• Correlation and Regression: Analyzing relationships between variables using correlation coefficients and linear regression models.

• Chi-Square Tests: Applying chi-square tests for independence and goodness-of-fit.

Course Objectives

• Understand the mathematical foundations of statistics and their applications.

• Analyze and interpret data using graphical and numerical methods.

• Apply probability rules and distributions to solve real-world problems.

• Conduct statistical inference, including estimation and hypothesis testing.

• Utilize technology (e.g., My Stat Lab, calculators) for statistical analysis.

Key Policies and Procedures

• Assignments: Homework and exams are completed online via My Stat Lab. Multiple attempts are allowed before deadlines.

• Grading: Grades are based on My Stat Lab (HW/Tests/Final), three exams, and a final exam. The grading scale is clearly defined.

• Attendance: Regular attendance is required. Students are responsible for all missed material and assignments.

• Withdrawal: The last day to withdraw is specified; students must complete the appropriate form.

• Academic Integrity: Adherence to college policies regarding academic honesty and conduct is mandatory.

• Disability Services: Accommodations are available for students with documented disabilities.

Class Schedule Overview

Week	Sections	Topics
1/27	1.1–1.3	Overview of Statistics, Data Classification, Experimental Design, Frequency Distributions
2/3	2.1–2.2	Graphs: Frequency Graphs and Displays
2/10	2.3–2.4	Measures of Central Tendency, Measures of Variation
2/17	2.5	Measures of Position
2/24	3.1–3.2	Probability, Counting Rules
3/3	3.3–3.4	Conditional Probability, Multiplication Rule, Addition Rule, Probability Distributions
3/10	5.1–5.2	Discrete Probability Distributions, Binomial Distribution
3/24	5.3–5.5	Normal Distributions, Sampling Distributions, Central Limit Theorem
3/31	6.1–6.2	Confidence Intervals for Population Mean (z interval)
4/7	6.3–6.4	Confidence Intervals for Population Mean (t interval), Proportions
4/14	7.1–7.2	Hypothesis Testing for Population Mean (z test, t test)
4/21	8.1–8.2	Hypothesis Testing for Two Population Means
4/28	9.1–9.2	Correlation and Regression
5/5	10.1–10.2	Chi-Square Tests
5/12	Final Exam	Comprehensive (Ch. 1–7)

Learning Technology

• Students are required to use My Stat Lab for homework and exams.

• Calculator use is encouraged for statistical computations.

• Additional resources include the course textbook and instructor office hours.

Additional Info

• This syllabus provides a comprehensive overview of the course structure, expectations, and resources for success in Statistics I.

• Students are encouraged to review the full syllabus for detailed policies on grading, attendance, and academic integrity.