ผลต่างระหว่างรุ่นของ "Probstat/week8 practice 1"
ไปยังการนำทาง
ไปยังการค้นหา
Jittat (คุย | มีส่วนร่วม) |
Jittat (คุย | มีส่วนร่วม) |
||
แถว 10: | แถว 10: | ||
* 1.2 What is <math>P\{ X > 20 \}</math>. | * 1.2 What is <math>P\{ X > 20 \}</math>. | ||
* 1.3 What is <math>P\{ X > 20 | X < 40 \}</math>. (Note that this is a conditional probability.) | * 1.3 What is <math>P\{ X > 20 | X < 40 \}</math>. (Note that this is a conditional probability.) | ||
+ | |||
+ | 2. Let random variable <math>X</math> is a continuous random variable whose probability distribution function <math>f(x)</math> is given by | ||
+ | |||
+ | <center> | ||
+ | <math> | ||
+ | f(x) = \left\{\begin{array}{ll}cx \ \ \ \ & \mbox{if} \ 0\leq x\leq 20, \\ 0 & \mbox{otherwise.} \end{array}\right. | ||
+ | </math> | ||
+ | </center> | ||
== Expectation == | == Expectation == |
รุ่นแก้ไขเมื่อ 02:03, 7 ตุลาคม 2557
- This is part of probstat
This exercise considers continuous random variables.
Probability
Uniform distribution
1. Let random variable is a continuous random variable which is a real number chosen uniformly from the range (10,50). Let denote its probability distribution function.
- 1.1 Describe .
- 1.2 What is .
- 1.3 What is . (Note that this is a conditional probability.)
2. Let random variable is a continuous random variable whose probability distribution function is given by
Expectation
Definition: If is a continuous random variable whose probability distribution function (pdf) is , we define the expected value of to be