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Online Class: Statistics 101


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Course Description

Statistics are used in a variety of contexts ranging from scientific experiments to political advertisements and beyond. Because statistics can be used to mislead, an understanding of the topic can be helpful for more than just the mathematical skills that it imparts: knowledge of statistics theory can also be a strong defense against attempts by the unscrupulous to mislead others. 

This statistics course introduces the basic concepts of statistical analysis, with a focus on both univariate (single-variable) and bivariate (two-variable) data. The course starts with an introduction to statistics terms and then moves on to organization and display of data. Analysis of univariate data by way of measures of central tendency (such as the mean or average), dispersion (such as the variance), and asymmetry ("skewness") is presented next, followed by an introduction to probability theory.

The relationship of probability to statistics is also discussed, providing students with the tools they need to understand how "chance" plays a role in statistical analysis. Statistical distributions, with a focus on the normal distribution and its uses, are also considered, along with a discussion of bivariate data and linear (least-squares) regression. Finally, the course culminates with a low-level introduction to hypothesis testing. Although this last topic could be a course of its own, the student is provided with enough theory and sufficient practice to conduct analyses of simple statistical hypotheses.

The course assumes a minimal understanding of and proficiency in algebra, but many of the concepts can be understood, and even many of the calculations performed, without an extensive mathematical background. This course is designed for anyone who wants a little more than just a cursory overview of statistics, but who doesn't want to get bogged down in the mathematical theory that underlies it.
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  • Self-Paced
  • Instructor Feedback
  • 6 Months to Complete
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  • Start Anytime
  • PC & Mac Compatible
  • Android & iOS Friendly
  • Accredited CEUs
Universal Class is an IACET Accredited Provider
 
 

Learning Outcomes

By successfully completing this course, students will be able to:
  • Define statistics terms.
  • Display statistical data.
  • Define measures of central tendency.
  • Select an appropriate measure of central tendency.
  • Define measures of dispersion.
  • Describe measures of asymmetry.
  • Describe Probability I problems
  • Describe and solve Probability II problems.
  • Know statistical distributions.
  • Describe the normal distribution.
  • Describe bivariate data.
  • Perform regression analysis.
  • Describe Hypothesis Testing I and II, and
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 
 
 

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Course Lessons

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Lesson 1 - Statistics Terms and Motivation

This lesson will explain why the study of statistics is important, and it will introduce you to some of the key terms and ideas that will be critical to understanding subsequent lessons. 11 Total Points
  • Lesson 1 Video A
  • Lesson 1 Video B : How to Take an Exam
  • Review 3 Articles: Definition of Statistics; Free Graph Paper; Statistics Terms
  • Complete Assignment: Introduction
  • Complete Exam: Lesson 1 Statistics Terms and Motivation

Lesson 2 - Displaying Statistical Data

This lesson will teach you to recognize and construct tabular and graphical representations of data, which is a crucial skill that you will use in later chapters. 9 Total Points
  • Lesson 2 Video
  • Review 2 Articles: Concept of Graphical representation of Data; Sampling of Data: Frequency, Relative Frequency and Cumulative Frequency
  • Complete Exam: Lesson 2 Displaying Statistical Data

Lesson 3 - Measures of Central Tendency

In this lesson, you will learn how to describe the "central tendency" of a data set--that is, a number that characterizes the "center" of the data. 13 Total Points
  • Lesson 3 Video
  • Review Practice Worksheet: 1652_01_[Search-Tutorial.pdf
  • Review 3 Articles: Measures of Central Tendency; Practice Examples; Quiz: Measures of Central Tendency
  • Complete: Lesson 3 Exercises
  • Complete Exam: Lesson 3 Measures of Central Tendency

Lesson 4 - Selecting an Appropriate Measure of Central Tendency

Now that we have studied several different measures of central tendency, we now consider some of the factors that you must take into account when selecting an appropriate measure of central tendency 11 Total Points
  • Lesson 4 Video
  • Review Article: Statistics Tutorial: Measures of Central Tendency
  • Complete Exam: Lesson 4 Selecting an Appropriate Measure of Central Tendency

Lesson 5 - Measures of Dispersion

This lesson introduces you to measures of dispersion, which quantify how widely data is spread around the mean. 14 Total Points
  • Lesson 5 Video
  • Review Article: Standard Deviation and Variance
  • Complete: Lesson 5 Exercises
  • Complete Exam: Lesson 5 Measures of Dispersion

Lesson 6 - Measures of Asymmetry

In this lesson, we will study a measure of asymmetry--skewness--which quantifies how data is "skewed" to either side of the mean. 9 Total Points
  • Lesson 6 Video
  • Complete Exam: Lesson 6 Measures of Asymmetry

Lesson 7 - Other Statistical Measures

This lesson introduces several more miscellaneous statistical measures that can be useful in certain contexts. 14 Total Points
  • Lesson 7 Video
  • Review Article: The Range of a Set of Data
  • Complete: Lesson 7 Exercises
  • Complete Exam: Lesson 7 Other Statistical Measures

Lesson 8 - Introduction to Probability I

Although probability theory could constitute a course of its own, a brief presentation of some of the elements of this area is helpful for our study of statistics. 17 Total Points
  • Lesson 8 Video
  • Review 2 Articles: Basic Terms of Probability; Probability Resources
  • Complete: Lesson 8 Exercises
  • Complete Exam: Lesson 8 Introduction to Probability I

Lesson 9 - Introduction to Probability II

This lesson discusses how we can solve probability problems by counting the number outcomes of a particular random experiment. 14 Total Points
  • Lesson 9 Video
  • Review 2 Articles: Challenge Problems; Probability Problems
  • Complete: Lesson 9 Exercises
  • Complete Exam: Lesson 9 Introduction to Probability II

Lesson 10 - Statistical Distributions

This lesson combines what we've learned in both statistics and probability and applies this knowledge to statistical (probability) distributions. 14 Total Points
  • Lesson 10 Video
  • Review Article: Statistical Distributions
  • Complete: Lesson 10 Exercises
  • Complete Exam: Lesson 10 Statistical Distributions

Lesson 11 - The Normal Distribution

This lesson presents the normal distribution, which is a widely used statistical distribution, as well as how to use it to calculate probabilities. 16 Total Points
  • Lesson 11 Video
  • Review Article: Normal Distribution Calculator and Frequently Asked Questions-
  • Complete: Lesson 11 Exercises
  • Complete Exam: Lesson 11 The Normal Distribution

Lesson 12 - Bivariate Data

This lesson introduces bivariate data distributions and discusses some related concepts such as scatterplots, marginal distributions, and independence of random variables. 9 Total Points
  • Lesson 12 Video
  • Review 3 Articles: Definition of Marginal Distribution; Scatter Plot Definition; What are Independent and Dependent Variables?
  • Complete Exam: Lesson 12 Bivariate Data

Lesson 13 - Regression Analysis

This lesson introduces the concept of regression with a focus exclusively on least-squares linear regression. 10 Total Points
  • Lesson 13 Video
  • Review Article: Introduction to Regression Analysis
  • Complete Exam: Lesson 13 Regression Analysis

Lesson 14 - Introduction to Hypothesis Testing I

This lesson brings together much of what we have learned so far and applies it to statistical hypothesis testing. 13 Total Points
  • Lesson 14 Video
  • Review Article: Statistics Tutorial: Hypothesis Test
  • Complete: Lesson 14 Exercises
  • Complete Exam: Lesson 14 Introduction to Hypothesis Testing I

Lesson 15 - Introduction to Hypothesis Testing II

The final lesson in this course provides a brief overview of the types of errors associated with hypothesis testing and also provides practice problems to reinforce the concepts and skills studied throughout this course. 158 Total Points
  • Lesson 15 Video
  • Review Article: Research Methods and Statistic Links for Research in Different Areas-
  • Take Poll: How would you rate this course?
  • Take Survey: Program Evaluation Follow-up Survey (End of Course)
  • Complete: Lesson 15 Exercises
  • Complete Exam: Lesson 15 Introduction to Hypothesis Testing II
  • Complete: The Final Exam
332
Total Course Points

Additional Course Information

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Course Title: Statistics 101
Course Number: 9770453
Languages: English - United States, Canada and other English speaking countries
Category:
Course Type: General Education
CEU Value: 3.5 IACET CEUs (Continuing Education Units)
CE Accreditation: Universal Class, Inc. has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET).
Grading Policy: Earn a final grade of 70% or higher to receive an online/downloadable CEU Certification documenting CEUs earned.
Assessment Method: Lesson assignments and review exams
Course Author: Jeff Clark, Ph.D.
Instructor: April Cordry-Moore
Syllabus: View Syllabus
Duration: Continuous: Enroll anytime!
Course Fee: $95.00 (no CEU Certification) || with CEU Certification: $120.00

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Student Testimonials

  • "The instructor is an excellent instructor. He simplified a lot of complicated formulas which involve calculus. He also has good examples that make the concepts easier to understand. In addition, he gives challenging assignments and exams. He fully explains all the questions I have missed during exams and assignments." -- Cristeta K.
  • "Exellent instructor." -- Angel E.
  • "Regression Analysis was most helpful to me....Thanks instructor!" -- Mike A.
  • "Great instructor. Very helpful and responsive." -- Tiffany L.
  • "I knew nothing about Statistics and now I know that I don't want to know more. I enjoyed the class and thought the instructor was very good." -- Donna N.

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