Instructor - George Morrison

This is a 10 Hour course and costs $75

Statistics helps to understand data, interpret results, and summarize information. This course helps you to understand and use statistical techniques to your best advantage.

Course Summary

Statistics may be intimidating to the beginner. George Morrison has been a patient teacher over many years to thousands of people, like you, who want to learn statistics in a way that makes the topic approachable, understandable, and relevant. Students and academics use statistics to make sense of a vast amount of data. Business people use statistics to support business decisions. While some examples in this course are about real estate, some are just about generally interesting things. Homburg Academy's more advanced finance classes relate quantitative analysis to a range of problems in real estate. This course eases you into the concepts, tools, methods, and approaches of statistical analysis. You will come away with knowledge that will give you an edge when you undertake research, or make your business decisions. You will learn how to pull vital information out of raw data by sampling, analyzing, organizing, and displaying your information in ways that best support your findings.

How do I take this course?

This course delivers 10 hours of video lecture presentations on key topics in business. You can download and print a copy of the presentation slides, and make notes as you follow along. To make it easier to absorb the material, each hour is divided into short segments, of about 15 minutes each. You can watch as many, or as few segments each day, or each week, in your own time. Each segment is followed by a short quiz to help you review, and test yourself about what you have learned. There is also a dedicated chat room for this course, so you can talk, get help, and just be social as you journey through the structures and processes of today's business environment with others online.

Do I get a Certificate of Completion?

Yes. On completion of this course, you will be able to print a Certificate of Completion showing the overall average that you achieved in all of the quizzes. You may be able to take this to your university or college to ask for transfer credits, or to your professional association to see if you can be awarded continuing education credits.

This introductory session introduces the various techniques in descriptive statistics. Start with the basics, and understand what variables are, what qualitative and quantitative techniques do, and the different ways to present statistical information graphically.
In this session, you will learn some fundamental concepts in statistics, like means, mode, range, variance, and standard deviations.
How likely is something to happen? How can we tell? A lot about life is trying to anticipate the future. Statistical methods cannot predict the future, but they can tell us how likely an event is to take place, given a set of well-defined circumstances.
In this presentation, George Morrison presents the ins and outs of discrete probability distributions, and how they are represented.
Learn how to recognize a probability distribution curve.
What is a sample, and what can it tell you about the entire population? This session examines the proper ways to select sample data, and to interpret information from that sample.
Information obtained from samples can be used to estimate values in an entire population. In this session, you will understand how that can be done correctly, as well as understand the confidence level and margin of error.
George Morrison spends this entire session bringing everything that you have learned so far to some real world concrete examples. This helps to show the relevance of the information, and helps you to build knowledge about how to apply and use your newly gained skills (there is no quiz associated with this session).
Whenever we approach data, we ask questions about what might be true (an hypothesis) and we can then use statistics to help us answer the question (test the hypothesis). In this session, George Morrison shows how we know when a hypothesis can be said to be true.
In this final session, George Morrison shows how to test hypotheses using two populations.

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