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Introduction to Sampling Theory Population and Random Sample Population and Random Sample Example 1 (6.1).[Throwing n Coins] Let Xi denote the outcome of throwing the i-th coin,with Xi=1 if the head shows up,and Xi=0 if the tail shows up. Then X"=(X1,...,Xn)'constitutes a random sample. If we throw n coins,we will obtain a sequence of real numbers, such as xn=(1,1,0,0,1,0,·,1). This sequence is a data set of size n from the random sample Xn. Introduction to Sampling Theory Introduction to Statistics and Econometrics April 16,2020 5/167Introduction to Sampling Theory Introduction to Sampling Theory Introduction to Statistics and Econometrics April 16, 2020 5/167 Example 1 (6.1). [Throwing n Coins] Population and Random Sample Population and Random Sample
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