Elementary Statistics Course Syllabus and Study Guide

Course Overview

Introduction to Elementary Statistics

This course, MATH 2193 - Elementary Statistics, provides a foundational understanding of statistical concepts and methods. It covers essential topics such as data organization, measures of central tendency and dispersion, probability, distributions, hypothesis testing, and inferential statistics. The course is designed for students seeking to develop analytical skills applicable in various fields.

• Course Modality: Classroom-based

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

• Calculator: TI-83 or TI-84 recommended

• Online Homework: MyStatLab platform

Course Structure and Grading

Teaching Method and Assessment

The course emphasizes active learning through guided lessons, example problems, and regular Q&A sessions. Assessment is based on homework, chapter exams, and a comprehensive final exam. Attendance is mandatory and impacts the final grade.

• Daily Schedule: 20 minutes Q&A, 80 minutes guided lesson and examples

• Exams: Four chapter exams and one final exam

• Homework: Assigned each period, completed online

• Attendance: Required; excessive absences result in grade penalties

Grade Breakdown Table

The table below summarizes the grading scale for the course:

Grade	Exam Scores	Total Points
A	100-85	500-425
B	84-70	424-350
C	69-60	349-300
D	59-50	299-250
F	49-0	249-0

Additional info: The lowest chapter exam score is replaced by the average of the two highest scores (excluding the final exam).

Course Content and Learning Outcomes

Statistics Topics Covered

The syllabus aligns with the following major statistics topics, matching the standard college statistics curriculum:

• Statistical Terminology: Types of data, research designs

• Data Organization: Tables, graphs, frequency distributions

• Descriptive Statistics: Measures of central tendency (mean, median, mode), measures of variability (range, variance, standard deviation)

• Probability: Combinations, permutations, elementary probability laws

• Discrete and Continuous Distributions: Binomial and normal distributions

• Inferential Statistics: Estimation and confidence intervals for means and proportions

• Hypothesis Testing: Tests for population means, proportions, and differences between two samples

Example: Calculating the mean and standard deviation for a sample dataset, constructing a frequency table, and performing a hypothesis test for a population mean.

Academic Integrity and Technology Use

Expectations and Policies

Students are expected to uphold academic integrity and use technology responsibly. AI tools may be used for checking work but are not permitted during proctored assessments. Academic dishonesty results in severe penalties.

• AI Tools: Allowed for practice, not for proctored exams

• Calculator Policy: Only approved models allowed during exams

• Academic Integrity: Zero tolerance for cheating or plagiarism

Support and Resources

Tutoring and Technical Assistance

Students have access to tutoring centers, technical support, and wellness services. These resources are designed to help students succeed academically and maintain well-being.

• Tutoring: In-person and online sessions available

• Technical Support: Assistance with course platforms and software

• Wellness Services: Counseling and crisis support

Course Calendar and Withdrawal Policies

Important Dates and Participation Requirements

Students must meet participation requirements within the first two weeks. Withdrawal policies differ for in-person, online, and hybrid courses. Students are encouraged to consult the academic calendar for deadlines.

• Pre-Quiz: Required for course participation

• Withdrawal: Must be initiated with academic advisor after drop deadline

• Attendance: Missing six or more classes results in grade reduction

Institutional Policies and Student Responsibilities

General Education, Non-Discrimination, and FERPA

Tulsa Community College enforces policies on non-discrimination, privacy, and student conduct. Students are responsible for understanding these policies and adhering to college guidelines.

• Non-Discrimination: Equal opportunity for all students

• FERPA: Protection of student educational records

• Student Conduct: Mandatory adherence to academic and behavioral standards

Course Textbook

Essentials of Statistics by Mario Triola

This textbook is the primary resource for the course, covering all major topics in statistics. Students will have digital access to the textbook and MyLab Math platform from the first day of class.

Summary Table: Major Statistics Topics

Chapter	Topic
1	Introduction to Statistics
2	Exploring Data with Tables and Graphs
3	Describing, Exploring, and Comparing Data
4	Probability
5	Discrete Probability Distributions
6	Normal Probability Distributions
7	Estimating Parameters and Determining Sample Sizes
8	Hypothesis Testing
9	Inferences from Two Samples
10	Correlation and Regression
11	Chi-Square and Analysis of Variance

Additional info: The course content directly matches the standard statistics curriculum, ensuring comprehensive coverage of all foundational topics.