ผลต่างระหว่างรุ่นของ "Probstat/week5 practice 2"
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Jittat (คุย | มีส่วนร่วม) |
Jittat (คุย | มีส่วนร่วม) |
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แถว 2: | แถว 2: | ||
== Independent trials == | == Independent trials == | ||
− | 1. There is a random experiment whose outcomes are successful with probability 1/2. We would like to perform the experiment for ''K'' times. What is the probability that none of the outcomes from these ''K'' experiments is successful. What is the minimum value of ''K'' if we want the probability to be less than 1/''n''. | + | 1. There is a random experiment whose outcomes are successful with probability 1/2. We would like to perform the experiment for ''K'' times. What is the probability that none of the outcomes from these ''K'' experiments is successful. What is the minimum value of ''K'' if we want the probability to be less than 1/''n''<sup>2</sup>, for some value ''n''. |
== Independent random variables == | == Independent random variables == |
รุ่นแก้ไขเมื่อ 17:25, 17 กันยายน 2557
- This is part of probstat.
Independent trials
1. There is a random experiment whose outcomes are successful with probability 1/2. We would like to perform the experiment for K times. What is the probability that none of the outcomes from these K experiments is successful. What is the minimum value of K if we want the probability to be less than 1/n2, for some value n.
Independent random variables
1. Consider a simple random experiment of choosing, uniformly at random, an integer from the set {0,1}.
- 1.1 Let X be a random variable that denotes the chosen integer from the experiment. Find E[X] and Var(X).
- 1.2 Let's perform the experiment 2 times. Let X1 and X2 be random variables that denote the chosen integers from the first and the second experiments. Let Y = (X1 + X2)/2. Find E[Y] and Var(Y).
- 1.3 Let's perform the experiment K times. Let X1, X2,... XK be random variables that denote the chosen integers from each experiments. Let Z = (X1 + ... + XK)/K. Find E[Z] and Var(Z).
- 1.4 Compare these 3 random variables. I.e., compare E[X], E[Y], and E[Z], and also Var(X), Var(Y), and Var(Z). What is the effect of the number independent trials to the variance. What does it actually mean?