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Lhancelot
10.15.2019 , 09:01 AM | #12
Quote: Originally Posted by dipstik View Post
here are results for gcd casts. would be nice to have this data for channels (diagnostic scan/ lightning strike)

using data from https://docs.google.com/spreadsheets...gid=1526455495

summary:
https://pasteboard.co/IzZn0PG.png


Two-Sample T-Test and CI: 0, 862

Two-sample T for 0 vs 862

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
862 20 1.4988 0.0170 0.0038


Difference = mu (0) - mu (862)
Estimate for difference: 0.0478
95% CI for difference: (0.0233, 0.0722)
T-Test of difference = 0 (vs not =): T-Value = 4.04 P-Value = 0.001 DF = 23


Boxplot of 0, 862


Two-Sample T-Test and CI: 0, 755

Two-sample T for 0 vs 755

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
755 21 1.50029 0.00901 0.0020


Difference = mu (0) - mu (755)
Estimate for difference: 0.0463
95% CI for difference: (0.0226, 0.0699)
T-Test of difference = 0 (vs not =): T-Value = 4.08 P-Value = 0.001 DF = 20


Boxplot of 0, 755


Two-Sample T-Test and CI: 0, 1293

Two-sample T for 0 vs 1293

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
1293 22 1.4120 0.0366 0.0078


Difference = mu (0) - mu (1293)
Estimate for difference: 0.1346
95% CI for difference: (0.1069, 0.1623)
T-Test of difference = 0 (vs not =): T-Value = 9.88 P-Value = 0.000 DF = 34

Two-Sample T-Test and CI: 0, 1294

Two-sample T for 0 vs 1294

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
1294 22 1.4133 0.0341 0.0073


Difference = mu (0) - mu (1294)
Estimate for difference: 0.1333
95% CI for difference: (0.1062, 0.1604)
T-Test of difference = 0 (vs not =): T-Value = 10.00 P-Value = 0.000 DF = 33

Two-sample T for 0 vs 1724

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
1724 22 1.4030 0.0213 0.0045


Difference = mu (0) - mu (1724)
Estimate for difference: 0.1435
95% CI for difference: (0.1187, 0.1683)
T-Test of difference = 0 (vs not =): T-Value = 11.90 P-Value = 0.000 DF = 25

Two-sample T for 0 vs 2155

N Mean StDev SE Mean
0 20 1.5465 0.0500 0.011
2155 22 1.4012 0.0222 0.0047


Difference = mu (0) - mu (2155)
Estimate for difference: 0.1453
95% CI for difference: (0.1203, 0.1703)
T-Test of difference = 0 (vs not =): T-Value = 11.97 P-Value = 0.000 DF = 25

Two-sample T for 862 vs 755

N Mean StDev SE Mean
862 20 1.4988 0.0170 0.0038
755 21 1.50029 0.00901 0.0020


Difference = mu (862) - mu (755)
Estimate for difference: -0.00149
95% CI for difference: (-0.01027, 0.00730)
T-Test of difference = 0 (vs not =): T-Value = -0.35 P-Value = 0.732 DF = 28

Two-sample T for 862 vs 1293

N Mean StDev SE Mean
862 20 1.4988 0.0170 0.0038
1293 22 1.4120 0.0366 0.0078


Difference = mu (862) - mu (1293)
Estimate for difference: 0.08685
95% CI for difference: (0.06912, 0.10457)
T-Test of difference = 0 (vs not =): T-Value = 10.01 P-Value = 0.000 DF = 30

Two-sample T for 862 vs 1724

N Mean StDev SE Mean
862 20 1.4988 0.0170 0.0038
1724 22 1.4030 0.0213 0.0045


Difference = mu (862) - mu (1724)
Estimate for difference: 0.09575
95% CI for difference: (0.08378, 0.10773)
T-Test of difference = 0 (vs not =): T-Value = 16.17 P-Value = 0.000 DF = 39

Two-sample T for 862 vs 2155

N Mean StDev SE Mean
862 20 1.4988 0.0170 0.0038
2155 22 1.4012 0.0222 0.0047


Difference = mu (862) - mu (2155)
Estimate for difference: 0.09757
95% CI for difference: (0.08527, 0.10988)
T-Test of difference = 0 (vs not =): T-Value = 16.05 P-Value = 0.000 DF = 38

Two-sample T for 862 vs 3017

N Mean StDev SE Mean
862 20 1.4988 0.0170 0.0038
3017 22 1.3983 0.0139 0.0030


Difference = mu (862) - mu (3017)
Estimate for difference: 0.10048
95% CI for difference: (0.09070, 0.11027)
T-Test of difference = 0 (vs not =): T-Value = 20.82 P-Value = 0.000 DF = 36


Two-sample T for 1293 vs 3017

N Mean StDev SE Mean
1293 22 1.4120 0.0366 0.0078
3017 22 1.3983 0.0139 0.0030


Difference = mu (1293) - mu (3017)
Estimate for difference: 0.01364
95% CI for difference: (-0.00350, 0.03078)
T-Test of difference = 0 (vs not =): T-Value = 1.64 P-Value = 0.114 DF = 26

Two-sample T for 1724 vs 3017

N Mean StDev SE Mean
1724 22 1.4030 0.0213 0.0045
3017 22 1.3983 0.0139 0.0030


Difference = mu (1724) - mu (3017)
Estimate for difference: 0.00473
95% CI for difference: (-0.00625, 0.01571)
T-Test of difference = 0 (vs not =): T-Value = 0.87 P-Value = 0.388 DF = 36

Two-sample T for 2155 vs 3017

N Mean StDev SE Mean
2155 22 1.4012 0.0222 0.0047
3017 22 1.3983 0.0139 0.0030


Difference = mu (2155) - mu (3017)
Estimate for difference: 0.00291
95% CI for difference: (-0.00843, 0.01425)
T-Test of difference = 0 (vs not =): T-Value = 0.52 P-Value = 0.606 DF = 35

Two-sample T for 2155 vs 3448

N Mean StDev SE Mean
2155 22 1.4012 0.0222 0.0047
3448 23 1.3080 0.0270 0.0056


Difference = mu (2155) - mu (3448)
Estimate for difference: 0.09327
95% CI for difference: (0.07843, 0.10811)
T-Test of difference = 0 (vs not =): T-Value = 12.68 P-Value = 0.000 DF = 42
I am sure this is a lot of important information but sadly it looks like an alien life form wrote it out to me. That or maybe Einstein, lol. I wish mathematical analytics was my strong point.
BIOWARE
Players quit WZs they do not enjoy. You are losing PVPers.
Give players a choice of WZs, enough is enough (Huttball) already!

Good job increasing rewards for PVP! It was much needed, thank you.