Online Class: Statistics 101
|  | | | | | Course Cost: 6 Month Subscription Basic Course (no certificate) = $60.00 Course with Online Certificate* = $85.00 |
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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. Course Lessons |  | Lesson 1 - Statistics Terms and MotivationThis 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. | Lesson 2 - Displaying Statistical DataThis 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. | Lesson 3 – Measures of Central TendencyIn 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. | Lesson 4 - Selecting an Appropriate Measure of Central TendencyNow 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 | Lesson 5 - Measures of DispersionThis lesson introduces you to measures of dispersion, which quantify how widely data is spread around the mean. | Lesson 6 - Measures of AsymmetryIn this lesson, we will study a measure of asymmetry--skewness--which quantifies how data is "skewed" to either side of the mean. | Lesson 7 - Other Statistical MeasuresThis lesson introduces several more miscellaneous statistical measures that can be useful in certain contexts. | Lesson 8 - Introduction to Probability IAlthough 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. | Lesson 9 - Introduction to Probability IIThis lesson discusses how we can solve probability problems by counting the number outcomes of a particular random experiment. | Lesson 10 - Statistical DistributionsThis lesson combines what we've learned in both statistics and probability and applies this knowledge to statistical (probability) distributions. | Lesson 11 - The Normal DistributionThis lesson presents the normal distribution, which is a widely used statistical distribution, as well as how to use it to calculate probabilities. | Lesson 12 - Bivariate DataThis lesson introduces bivariate data distributions and discusses some related concepts such as scatterplots, marginal distributions, and independence of random variables. | Lesson 13 - Regression AnalysisThis lesson introduces the concept of regression with a focus exclusively on least-squares linear regression. | Lesson 14 - Introduction to Hypothesis Testing IThis lesson brings together much of what we have learned so far and applies it to statistical hypothesis testing. | Lesson 15 - Introduction to Hypothesis Testing IIThe 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. |
Optional Certificates Awarded - Certificate of Merit
- Certificate of Academic Excellence
In addition to the standard Certificate of Course Completion, Merit Awards may be issued by the instructor at his/her own discretion and are based on student achievement. Merit awards also incur an additional $30.00 processing fee that covers the customization, printing, and delivery of the award, as well as access to the UniversalClass™ Portfolio Service that documents your achievements online. Official Merit Awards have a serial number that verifies the authenticity of the award (great for employers to verify your achievement).
| | Additional Information | Course Title | : | Statistics 101 | | CEU Value | : | | | Course Number | : | 7550297 | | Course Type | : | General Education | | Course URL | : | | | Course Rating | : |  | | Instructor | : | | | Syllabus | : | | | Duration | : | Continuous: Enroll anytime! | | Requirements | : | View Technical Requirements | | Course Fee | : | Basic Course: $60 | | | | |
NOT FOR COLLEGE CREDIT This is a non-credit course, and is provided for your personal enrichment.
This course is not intended to be a substitute for any state, government, licensing, or educational requirements.
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