Malware and Probability: Difference between pages

From ACT Wiki
(Difference between pages)
Jump to navigationJump to search
imported>Doug Williamson
(Create the page. Source: Techterms https://techterms.com/definition/malware)
 
imported>Doug Williamson
(Layout.)
 
Line 1: Line 1:
Malware is an abbreviation for 'malicious software'.
The study of chance providing an objective measure of uncertainty.


These are software programs designed to damage a computer system or to do other unwanted or unauthorised actions on it.


Examples include viruses, worms, trojan horses, spyware and ransomware.
Probabilities range between 1 (=100%) and 0 (=0%).


A probability of 100% means that an event is considered certain to occur.


==See also==
A probability of 0% means that an event is considered certain not to occur. 
*[[Cyber security]]
 
*[[Cyberthreat]]
 
*[[Ransomware]]
For example, flipping an unbiased coin, the probability of getting a head is often modelled as 50%.
 
 
This simple model of a coin flip assumes that the only two possibilities are a head or a tail.  Applying such simple models to financial situations, and treating financial outcomes as simple coin flips, may lead to errors resulting from:
 
#The coin landing on its edge 'more often than it's supposed to'.
#The underlying assumption of an unbiased coin not being a valid one. This kind of assumption is usually much too simple.
 
 
== See also ==
* [[Black swan]]
* [[Conditional probability]]
* [[Confidence interval]]
* [[Frequency distribution]]
* [[Mutually exclusive]]
* [[Poisson distribution]]

Revision as of 15:19, 8 June 2016

The study of chance providing an objective measure of uncertainty.


Probabilities range between 1 (=100%) and 0 (=0%).

A probability of 100% means that an event is considered certain to occur.

A probability of 0% means that an event is considered certain not to occur.


For example, flipping an unbiased coin, the probability of getting a head is often modelled as 50%.


This simple model of a coin flip assumes that the only two possibilities are a head or a tail. Applying such simple models to financial situations, and treating financial outcomes as simple coin flips, may lead to errors resulting from:

  1. The coin landing on its edge 'more often than it's supposed to'.
  2. The underlying assumption of an unbiased coin not being a valid one. This kind of assumption is usually much too simple.


See also