The lecture Summarizing Quantitative Variables by David Spade, PhD is from the course Learn Statistics  Become Data Smart. It contains the following chapters:
Which of the following graphical displays can be used to summarize the distribution of a quantitative variable?
What is a characteristic to evaluate when assessing a distribution?
Which of the following is not true about a box plot?
How do we typically describe a symmetric distribution?
What is the term used for a histogram with 3 modes?
What is the median for the following data set: 12, 16, 17, 19, 23?
What is the median for the following data set: 12, 16, 17, 19?
What is the median for the following data set: 15, 17, 17, 12, 8, 18, 2?
What is the range of the following data set: 12, 16, 17, 19, 23?
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The explanation is smooth and clear. However, I think it would have been better if the common sense behind the formulas (especially the standard deviation) was explained in more detail so we can understand how the formulas work a little more deeply.
Its Pretty confusing. Ofc I am a person I ve never had any experience with statitics but during the lecture is so easy to lose pace. Lecture number 1 was easier to get because of the AgeEducation as paradigm instead of soulless numbers.! In addition its really confusing when the examples are made with data from the previous slide, witch you dont see any more but you require it to proceed.
He is explaining great ! Little bit fast sometimes, but it is first time that i understand statistics.
Dr. Spade has a very practical way of explaining these concepts, without confusion. Much detail is provided and the process is smooth. Thanks Doc.