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Introduction to Statistics – Syllabus and Study Guide

Study Guide - Smart Notes

Tailored notes based on your materials, expanded with key definitions, examples, and context.

Course Overview

Introduction

This course provides an introduction to statistical methods and their applications. Students will learn about data organization, sampling, testing hypotheses, confidence intervals, regression, and correlations. The course is designed for students who meet the prerequisite mathematics requirements and aims to build foundational skills in statistics for further study or professional application.

  • Course Code: Math 146 Hybrid

  • Credits: 5

  • Format: Online Asynchronous

  • Instructor: Doug Owen

  • Textbook: Fundamentals of Statistics, 6th Edition, Sullivan, Pearson

Course Materials and Technology

Required Materials

  • Textbook: Fundamentals of Statistics, 6th Edition

  • MyStatLab Access: Required for homework, quizzes, and tests. Includes electronic textbook access.

  • Calculator: Scientific calculator recommended.

  • Honorlock: Online proctoring service for supervised tests.

Technology Assistance

  • Edmonds College IT Help Center

  • Student Technology Advice and Resource Team (START)

  • Canvas Login and Orientation

  • Computer Labs on Campus

Assignments and Grading

Grading Breakdown

Assignment

Weight

Quantity

Regular Online Homework

20% of grade

One assignment for each section of the text

12 Online Chapter Quizzes

30% of grade

One for each chapter of the text

2 Test Prep Homework Sets

5%+5%=10% of grade

One for each test

2 Proctored/Supervised Tests

20%+20%=40% of grade

Test 1: Chapters 1-6 Test 2: Chapters 7-12

Grade Conversion Table

Percentage

Grade

94-100

4.0

90-93

3.7

88-89

3.3

83-87

3.0

80-82

2.7

78-79

2.3

73-77

2.0

70-72

1.7

67-69

1.3

64-66

1.0

60-63

0.7

Course Policies

Academic Integrity

  • All work must be your own. Collaboration on homework is allowed, but quizzes and tests must be completed independently.

  • Plagiarism and cheating are strictly prohibited and may result in disciplinary action.

AI Statement

  • Use of artificial intelligence engines, software, or artwork-generating programs to produce work for this class is not authorized and is considered a violation of the Academic Conduct Policy.

Disability Services

  • Contact Services for Students with Disabilities for accommodations.

Course Expectations

  • Review all files and resources on Canvas.

  • Attend all deadlines and complete assignments promptly.

  • Meet all deadlines; extensions are not available except for documented emergencies.

  • Course moves quickly: 12 chapters and 500 pages in ten weeks.

Learning Objectives

Key Skills and Concepts

  • Distinguish between categorical and quantitative data.

  • Display categorical data using frequency tables and two-way tables.

  • Construct appropriate graphical displays of quantitative and categorical data by hand and using technology.

  • Compute and interpret summary statistics for quantitative variables.

  • Perform computations using the Normal model.

  • Compute and interpret scatterplots of bivariate quantitative data.

  • Compute the correlation of two quantitative variables.

  • Construct and interpret a linear regression model on two quantitative variables.

  • Interpret residual plots.

  • Use random numbers to perform a simulation.

  • Appropriately use terms related to sample surveys, experiments, and observational studies.

  • Perform computations with probability models, including the binomial model.

  • Compute expected value and standard deviation of a random variable.

  • Perform computations and interpret a confidence interval and/or hypothesis test in situations involving: a one proportion, two proportions, one mean, two means.

  • Use chi-square methods to perform a goodness-of-fit test, test of homogeneity, and test of independence.

Important Dates

  • See Edmonds CC Academic Calendar for important college-wide dates.

  • Test 2 and all other course work due: December 12 at 11:59 pm.

Support Resources

Academic Support

  • Learning Support Center: Free tutoring for math, writing, and other classes.

  • TRiO Student Support Services: Tutoring and support for first-generation college students.

  • e-Tutoring: Free online tutoring for math and writing.

  • Library: 24/7 help for research and citations, free online access to ebooks, articles, and databases.

  • Campus Study Spaces: Map of areas and rooms for study and online class sessions.

  • STEM Study Room: Free drop-in tutoring for Math, Biology, Chemistry, Physics, Computer Science, and Engineering.

Emergency Preparedness

  • Triton Alert System: Emergency notifications for campus closures, emergencies, and evacuation orders.

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