Introduction to Statistics
Original price was: $49.99.$14.99Current price is: $14.99.
What you’ll learn
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Understand and learn how to calculate a number of different descriptive statistics
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Increase your quantitative and numerical reasoning skills!
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Increase marketable job skills in data analytics
November, 2019
In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:
Scales of measurement – nominal, ordinal, interval, ratio.
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Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.
Central Tendency – mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean.
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Goals/Learning Objectives: Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data.
Variability – How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language.
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Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).
Charts and Graphs – How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated.
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Goals/Learning Objectives: Learn how to easily organize, summarize, understand, and explain a set of numbers.
Probability, the Normal Curve and z-Scores – An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores
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Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.
Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions.
Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.)
Who this course is for:
- Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course)
12 reviews for Introduction to Statistics
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Original price was: $49.99.$14.99Current price is: $14.99.
Sara Adams –
There is a lot of content and examples, quizzes and walk throughs of the quizzes – which I liked.
This class would benefit from some real world examples. Ex: Z scores, Pearson’s r, Hypothesis testing and so on…where and why would we use these methods? Where is the value? That would have helped.
Overall – content was solid.
Jeff Harris –
This was a very informative course and I really learned a lot. Is there an intermediate course on statistics?
Shubham Kumar Thakur –
Lots of new terms were taught in a well laid out and well explained manner. This is a very good beginner course.
Rashmi –
So far the course has been easy to understand and the words used are very simple. So overall it’s very useful for new learners.
Sakshi Agarwal –
I enjoyed the refresher course from section 6 onwards.
Jake Bullock –
Everything is simply broken down – so useful. Section 6 (Hypo testing) gets a little complex/confusing
Manaswini –
The course was really helpful. It will teach you from the basic and test you at each level to keep your progress in check. I would certainly recommend this course for beginners.
Shreeya Sengupta –
Some more practice problems and tests please
Jamie Parlow –
Excellent instruction right out of the gate. Not cluttered with material that is not necessary. I can see me moving on to more advanced courses of Ron’s after this one.
Marie-Laure Lalanne-Mistrih –
oui. Il reprend des bases que je n’ai jamais reçues dans ce détail.
Approche très pédagogique. Merci Ron.
Youqian Zhao –
This is 200% too simple for my expectation.
Mary Grace J. Espinosa –
So far so good, easy to understand.