Difference between revisions of "User:Serg"

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== Current Projects ==
 
== Current Projects ==
 
{{c|in progress|0%}} Fall Damage Graphs
 
{{c|in progress|0%}} Fall Damage Graphs
:{{c|in progress|16.67%}} Class fall damage spread at Minimum (660 velocity)
+
:{{c|done|16.67%}} Class fall damage spread at Minimum (660 velocity)
 
::{|
 
::{|
 
| || '''Scout''' || '''125 HP''' || '''50 Falls'''
 
| || '''Scout''' || '''125 HP''' || '''50 Falls'''
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|}
 
|}
 
:{{c|in progress|0%}} Class fall damage spread at Mid-range (2080 velocity)
 
:{{c|in progress|0%}} Class fall damage spread at Mid-range (2080 velocity)
:{{c|in progress|0%}} Class fall damage spread at Maximum (3500 velocity)
+
:{{c|done|100%}} Class fall damage spread at Maximum (3500 velocity)
 +
::{|
 +
| || '''Heavy''' || '''300 HP''' || '''50 Falls'''
 +
|-
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| '''Mean''' || 174.52 || '''Eq. Mean''' || 0.5816
 +
|-
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| '''Variance''' || 514.2496 || '''Eq. Var''' || 0.0057
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|-
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| '''Kurtosis''' || -1.44 || '''Eq. Kurt''' || -1.4394
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|-
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| '''Skew''' || -0.2730 || '''Eq. Skew''' || -0.2759
 +
|}
 
:{{c|in progress|0%}} Two Dimensional Graphs
 
:{{c|in progress|0%}} Two Dimensional Graphs
 
:{{c|in progress|0%}} Three Dimensional Graphs
 
:{{c|in progress|0%}} Three Dimensional Graphs
 
{{c|in progress|0%}} Trivia Inquisition
 
{{c|in progress|0%}} Trivia Inquisition
 +
 +
User's Note to Public :
 +
:Mean is the average value. E.g. falling with a velocity of 3500 as a heavy will result in on average, a 175 damage hit.
 +
:Variance is how spread out the data is, in this form it isn't too useful, but if you were to get the square root of that number, that is the standard deviation. Using the previous example, the standard deviation is ~22.6.
 +
:Standard Deviation is the likely hood that something will happen the farther you get away from the mean. Using the previous examples, 22.6 is one standard deviation away from the mean, so 175 +/- 23 is a simple basic spread.
 +
:Kurtosis is how pointy a graph is, using a different example, the Kurtosis of a Scout falling 660 velocity is -1, which means the graph resembles a parabola instead of a spike.
 +
:Skew is how much weight is placed on one side of the graph, using the Scout example with Skew -1, the weight is shifted towards the negative values.
 +
:Eq. is the equalized or normalized values for each sample. Notice how the normalized values for Heavy at 660 velocity and Scout at 660 velocity are the same. This implies that all the classes follow the same fall damage distribution that can reduce the amount of work spent on this project.
 +
::'''Important Note''': The Mean value is in percent, so you can see that 11% is the average damage done when hitting the ground at a velocity of 660.
  
 
== Completed Projects ==
 
== Completed Projects ==

Revision as of 15:29, 6 November 2010

Current Projects

Pictogram wait.png 0% Fall Damage Graphs

Pictogram tick.png 16.67% Class fall damage spread at Minimum (660 velocity)
Scout 125 HP 50 Falls
Mean 13.74 Eq. Mean 0.10992
Variance 2.8 Eq. Var 0.000181
Kurtosis -1.25 Eq. Kurt -1.25
Skew -1 Eq. Skew -1.00
Heavy 300 HP 50 Falls
Mean 33.38 Eq. Mean 0.11
Variance 13.856 Eq. Var 0.000153
Kurtosis -1.215 Eq. Kurt -1.210
Skew -1.212 Eq. Skew -1.210
Pictogram wait.png 0% Class fall damage spread at Mid-range (2080 velocity)
Pictogram tick.png 100% Class fall damage spread at Maximum (3500 velocity)
Heavy 300 HP 50 Falls
Mean 174.52 Eq. Mean 0.5816
Variance 514.2496 Eq. Var 0.0057
Kurtosis -1.44 Eq. Kurt -1.4394
Skew -0.2730 Eq. Skew -0.2759
Pictogram wait.png 0% Two Dimensional Graphs
Pictogram wait.png 0% Three Dimensional Graphs

Pictogram wait.png 0% Trivia Inquisition

User's Note to Public :

Mean is the average value. E.g. falling with a velocity of 3500 as a heavy will result in on average, a 175 damage hit.
Variance is how spread out the data is, in this form it isn't too useful, but if you were to get the square root of that number, that is the standard deviation. Using the previous example, the standard deviation is ~22.6.
Standard Deviation is the likely hood that something will happen the farther you get away from the mean. Using the previous examples, 22.6 is one standard deviation away from the mean, so 175 +/- 23 is a simple basic spread.
Kurtosis is how pointy a graph is, using a different example, the Kurtosis of a Scout falling 660 velocity is -1, which means the graph resembles a parabola instead of a spike.
Skew is how much weight is placed on one side of the graph, using the Scout example with Skew -1, the weight is shifted towards the negative values.
Eq. is the equalized or normalized values for each sample. Notice how the normalized values for Heavy at 660 velocity and Scout at 660 velocity are the same. This implies that all the classes follow the same fall damage distribution that can reduce the amount of work spent on this project.
Important Note: The Mean value is in percent, so you can see that 11% is the average damage done when hitting the ground at a velocity of 660.

Completed Projects

Pictogram tick.png 100% None

Contact Me

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