Continous Probability Distribution
About the Lecture
The lecture Continous Probability Distribution by Edu Pristine is from the course Archiv - Quantitative Analysis. It contains the following chapters:
- Uniform Distribution
- Standard Normal Distribution
- Normal (Gaussian) Distribution
- Summation stability
- Question - FRM Exam 2002
- Further Questions and Solutions
Author of lecture Continous Probability Distribution
Edu Pristine
Customer reviews
5,0 of 5 stars
| 5 Stars |
|
5 |
| 4 Stars |
|
0 |
| 3 Stars |
|
0 |
| 2 Stars |
|
0 |
| 1 Star |
|
0 |
Excerpts from the accompanying material
... Central Limit Theory (1hr) Hypothesis testing - introduction ...
... B: Its mean and variance are given by: E(X) =(a + b) / 2 ...
... A.The number 5 is likely to be observed much more often than any other number. ...
... between a and b is given by: The expected value of a normally distributed variable ...
... The independent normal distributions form a normal distribution ...
... Price one year from now is given by S = 100×exp(r), where the rate of return r is normally distributed ...
... Between minus one and one so that the standard deviation of X is 0.577. ...
... In this case 1.96 standard deviation represents a move of 1.12 or less. ...
