Course Overview

Course Description

This course, Statistics I (MTH 160), provides an introduction to both descriptive and inferential statistics. It is designed to equip students with foundational statistical techniques and their applications across various disciplines. The course covers key statistical concepts such as measures of central tendency, dispersion, probability distributions, the Central Limit Theorem, parameter estimation, hypothesis testing, correlation, and regression. Students will also learn to critically analyze data, recognize limitations such as bias, and develop reasoned arguments based on statistical evidence. Statistical software is integrated into coursework for practical data analysis.

Course Structure and Logistics

• Credit Hours: 3

• Prerequisites: Completion of MTH 096, MTH 104, MTH 152, MTH 165 (or higher), or MCC Level 7 mathematics placement with a grade of C or better.

• Meeting Times: Mondays and Wednesdays, 9:00 am – 10:15 am, Downtown Campus, Room 535

• Modality: Traditional (In Person); Synchronous online via Zoom if campus closure occurs.

Learning Outcomes

Core Competencies

• Descriptive Statistics: Calculate and interpret measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and position (percentiles, quartiles).

• Data Analysis: Analyze data using descriptive measures and produce statistical graphs such as histograms, boxplots, and scatterplots.

• Probability Distributions: Calculate and interpret probabilities for discrete, binomial, and normal distributions.

• Central Limit Theorem: Apply the Central Limit Theorem to sampling distributions of the sample mean.

• Parameter Estimation: Determine and analyze confidence intervals for population mean and proportion.

• Hypothesis Testing: Perform hypothesis tests for population mean and proportion.

• Correlation and Regression: Calculate the linear correlation coefficient and determine the least-squares regression line for bivariate data.

• Statistical Interpretation: Interpret statistical output and analyze bivariate data.

Key Topics Covered

• Measures of Central Tendency: Mean, median, mode

• Measures of Dispersion: Range, variance, standard deviation

• Measures of Position: Percentiles, quartiles

• Graphical Data Representation: Histograms, boxplots, scatterplots

• Probability: Basic probability, discrete and continuous distributions

• Binomial and Normal Distributions: Properties and applications

• Central Limit Theorem: Sampling distributions

• Parameter Estimation: Confidence intervals

• Hypothesis Testing: Steps and interpretation

• Correlation and Regression: Linear relationships, least-squares method

Assessment and Grading

Assignments and Activities

• Homework: Completed in MyLab Statistics, with interactive help features. Late homework accepted with a 20% penalty until the last day of class.

• Exams: Four semester exams and a comprehensive final exam. No late exams allowed.

• Quizzes: Take-home quizzes; no late submissions accepted.

• Project: Data collection and analysis using statistical software (Minitab or StatCrunch), interpretation, and submission of a final typed report.

Grade Distribution

Grading Scale

Academic Honesty

Academic integrity is essential. Plagiarism, cheating, and unauthorized use of artificial intelligence or other sources are strictly prohibited. Violations result in severe penalties, including automatic zeroes and potential course failure. Students must properly cite all sources and submit original work.

Student Supports

Academic Supports

• Tutoring and Academic Assistance Center (TAAC)

• MCC Library

• Disability Services Office for accommodations

Technical Supports

• Computers and internet access at campus libraries

• Student Technology Assistance Center (STAC)

• Student Technology Help Desk

Financial Supports

• Financial aid and scholarships

• MCC Assist program for emergency financial needs

• D.W.I.G.H.T. food pantry

Personal Supports

• Counseling Center

• Student Success & Advising Services

• Career Services Office

• Veterans Services Office

• Support for student caregivers

College-Wide Policies

• Code of Conduct

• Attendance Policy

• Non-discrimination Policy

• Title IX and violence resources

• Emergency closing procedures

• Tobacco, smoke-free, and vape-free campus policy

Student Government Information

The Student Government Association (SGA) represents all enrolled students, organizes educational programming, and promotes student welfare. Senate meetings are held weekly and are open to all students.

Course Materials

• Textbook: MyLab Statistics for Elementary Statistics (14th Edition) by Mario F. Triola (physical copy not required)

• Calculator: Any calculator with a square root function (TI-30XIIS recommended)

Instructor Information

• Instructor: Matthew Williams

• Email: mwilliams192@monroecc.edu

• Phone: 585-292-2974

• Office Location: Building 32, Room 374P (Downtown Campus)

• Office Hours: Mondays and Wednesdays 11:30am-12:30pm; Tuesdays and Thursdays 11:00am-12:30pm

Additional info: The syllabus aligns closely with the standard topics for an Introductory Statistics course, including all major chapters listed in the prompt. The image included is the official Monroe Community College logo, directly relevant to the course and institution.