Online Class: Statistics 101

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15

Lessons
26

Exams &
Assignments
35

Hours
average time
3.5

CEUs
2,712

Students
have taken this course

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.

Completely Online
Self-Paced
6 Months to Complete
24/7 Availability
Start Anytime
PC & Mac Compatible
Android & iOS Friendly
Accredited CEUs

Universal Class is an IACET Accredited Provider

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Course Lessons

Average Lesson Rating:

"Extraordinarily Helpful"

(275 votes)

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 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
Review 2 Articles: What is a moment; Moments About the Mean
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

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.

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:

UniversalClass.com > Mathematics > Algebra and Math Studies

Course Type: General Education (Self-Paced, Online Class)

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 Online CEU Certification: $120.00

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Student Testimonials

"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.
"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.
"I found that the course resources helpful. I needed it especially for the lesson on normal distriuubtion. I needed to refer to it for the z-scores....Great instructor. Very helpful and responsive." -- Tiffany L.
"I found the course very interesting and the instructor was very helpful. Well organized chapters and the practice problems." -- Gayatri M.
"I found all the parts to be helpful." -- Nancy G.
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