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One way we attempt to understand the world is to identify cases of cause and effect. In statistics, the challenge is to describe and measure the relationship between two variables, for example, incoming SAT scores and college grade point averages.
[1] The lectures is not focused. The core conceptual ideas of each lectures is not presented as a coherent ideas. Instead, they are sepated by long, overlapping examples. Would have got killed in my student evaluation if I did this in my class ;)
[2] The delivery is not smooth. The lectures are filled with false-start, repetitions, and self-induced interruptions. It seems that the instructor didn't give any prior though about what (and more importantly how) he is going to present the lecture.
[3] The examples are not consistent. He started of taking about GPA/SAT scores, introduced r-score and correlation, and then start using the egg/hen example to show the concept
[4] On the positive side, the core concent of the lectures is good. Although, I have to skip every 5 mins to get to them.
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p********m
February 8, 2017
Really enjoyed the explanation on mean and variance and how they are used to determine the correlation coefficient
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