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The lecture Standardizing Data and the Normal Distribution Part 2 by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:
What information can we gain from a scatter plot?
If two quantitative variables are deemed to have a positive relationship, what does that mean?
Which of the following is NOT true about correlation?
Which of the following is a TRUE statement?
Under which of the following situations is correlation an appropriate measure of the strength of the relationship between two variables?
Which of the following numbers is likely to represent the correlation coefficient of two variables having a strong positive association?
Which of the following numbers is likely to represent the correlation coefficient of two variables having no association?
Which of the following numbers is likely to represent the correlation coefficient of two variables whose scatter plot is downward sloping?
Which of the following numbers is likely to represent the correlation coefficient of two variables whose scatter plot is upward sloping?
Suppose that at ages 10, 12, and 14 earnings are $200, $250, $450. The mean of age is 12 and the mean of earnings is $300. The standard deviation of age is 2 and the standard deviation of earnings is $132.29. What is the correlation coefficient of age and earnings?
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I learned a lot with this lecture. Really, I like the way of explanation. I will recommend this lecture to everybody who is really wanted to study statistics.