COMM-1057EL Chapter Notes - Chapter 9: Sampling Distribution, Random Variable, Standard Deviation
1 Nov 2017
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Sampling distribution probability distribution of a statistic obtained through a large number of samples drawn from a specific population. Sampling distribution of the mean of two dice. The population is created by throwing a fair die infinitely many times, with the random variable x indicating the number of spots showing on any one throw. The population is infinitely large because we can throw the die infinitely many times x. The sampling distribution is created by looking at all samples of size n = 2 (ex. 2 dice) and their means (each value divided by 2). Because the value of the sample mean varies randomly from sample to sample, we can. There are 36 different possible samples of size 2; because each sample is equally regard as a new random variable created by sampling likely, the probability of any one selected is 1/36 however, can assume only 11.
