ผลต่างระหว่างรุ่นของ "Probstat/week5 practice 1"

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== Practice exercises ==
 
== Practice exercises ==
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=== Variances ===
 
1. Consider a random variable ''Z'' that becomes 1 with probability 1/3, 0 with probability 1/3, and 1 with probability 1/3.  Find E[''Z''], and ''Var(Z)''.
 
1. Consider a random variable ''Z'' that becomes 1 with probability 1/3, 0 with probability 1/3, and 1 with probability 1/3.  Find E[''Z''], and ''Var(Z)''.
  
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3. You have observed the distribution of the score for a probability class.  You notice that, from an exercise, students get 5 points with probability 0.1, 4 points with probability 0.2, 3 points with probability 0.3, 2 points with probability 0.1, 1 point with probability 0.2, and 0 points with probability 0.1.  Let random variable ''X'' be the points a student will get.  Find E[''X''] and ''Var(X)''.
 
3. You have observed the distribution of the score for a probability class.  You notice that, from an exercise, students get 5 points with probability 0.1, 4 points with probability 0.2, 3 points with probability 0.3, 2 points with probability 0.1, 1 point with probability 0.2, and 0 points with probability 0.1.  Let random variable ''X'' be the points a student will get.  Find E[''X''] and ''Var(X)''.
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=== Binomial and geometric random variables ===
  
 
== Theoretical exercises ==
 
== Theoretical exercises ==

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Practice exercises

Variances

1. Consider a random variable Z that becomes 1 with probability 1/3, 0 with probability 1/3, and 1 with probability 1/3. Find E[Z], and Var(Z).

2. Let random variable X be the outcome after tossing a fair die (with 6 faces of values 1,2,3,...,6). Find E[X] and Var(X).

3. You have observed the distribution of the score for a probability class. You notice that, from an exercise, students get 5 points with probability 0.1, 4 points with probability 0.2, 3 points with probability 0.3, 2 points with probability 0.1, 1 point with probability 0.2, and 0 points with probability 0.1. Let random variable X be the points a student will get. Find E[X] and Var(X).

Binomial and geometric random variables

Theoretical exercises

1. For a random variable X with variance Var(X). For a constant a, prove that .

2. For a non-negative discrete random variable that takes on values 0,1,2,..., show that .

Programming exercises

The fullest bins

Distribution of th binomial random variables