Assignment 3: Law of Large Numbers
February 4, 2008
The definition for the law of large numbers states that the greater amount of experiments taken will have a better representation of the population. The sample mean is closer to the theoretical mean with the more data that is collected. (2008)
References:
MacEwan, B. (2008, spring semester). Psychology 261. Class Lectures. University of Mary Washington.
(Done by Carolyn & Kate)
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February 5, 2008 at 5:57 pm
I like your seperate posts. It’s easy to follow and very clear. Keep up the good work!
February 6, 2008 at 8:40 pm
Maroon Comments,
Be sure to read your blog carefully to get rid of any ambiguities. For the definition of the L of LN you write: “The definition for the law of large numbers states that the greater amount of experiments taken will have a better representation of the population.” What does ‘greater amount of experiments taken’ mean? What does it mean to ‘have a better representation of the population’? I like your illustration of the L of LN using bed times and how they can be misleading with small samples. Don’t fall into the trap of lazy writing and use the word “this” to put the burden on the reader to figure what the ‘this’ refers to. For example, you write: “A strength of using this method is that the more data that is taken, the more representative the mean will be of what truly occurs.” What is ‘this’ method you refer to? Good work on the Ms. Williams problem except for one crucial thing: what do you conclude from your data? We are, after all, interested in this class in making decisions in the face of uncertainty. While your data are based on only 100 trials, still, what do you conclude from your results? Your blog is nicely formatted for easy reading and is generally succinct.
Mac Ewen