I am testing
head(data)
## Rk X AvAge GP W L OL PTS PTS. GF GA SOW SOL SRS SOS
## 1 1 Philadelphia Flyers 27.2 4 3 1 0 6 0.750 15 11 0 0 0.38 -0.63
## 2 2 Toronto Maple Leafs 29.0 4 3 1 0 6 0.750 14 12 0 0 1.85 1.35
## 3 3 Vegas Golden Knights 28.8 3 3 0 0 6 1.000 11 5 0 0 1.63 -0.38
## 4 4 Washington Capitals 30.2 4 2 0 2 6 0.750 15 13 0 1 -0.38 -0.63
## 5 5 New Jersey Devils 26.1 3 2 0 1 5 0.833 8 6 0 1 0.13 -0.21
## 6 6 Montreal Canadiens 28.6 3 2 0 1 5 0.833 12 7 0 0 0.83 -0.84
## TG.G EVGF EVGA PP PPO PP. PPA PPOA PK. SH SHA PIM.G oPIM.G S S. SA
## 1 6.50 12 7 3 12 25.00 4 15 73.33 0 0 7.5 6.0 99 15.2 144
## 2 6.50 8 9 6 14 42.86 3 17 82.35 0 0 13.3 9.3 135 10.4 103
## 3 5.33 10 3 0 7 0.00 1 8 87.50 1 1 5.3 4.7 90 12.2 76
## 4 7.00 13 9 2 8 25.00 3 16 81.25 0 1 9.3 5.3 98 15.3 114
## 5 4.67 7 1 1 10 10.00 4 13 69.23 0 1 11.0 9.0 81 9.9 115
## 6 6.33 6 4 4 10 40.00 2 14 85.71 2 1 11.0 8.3 102 11.8 95
## SV. SO
## 1 0.924 1
## 2 0.883 0
## 3 0.934 0
## 4 0.886 0
## 5 0.948 0
## 6 0.926 0
hist(data$PTS)
summary(data$PTS)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.0 3.0 4.0 3.7 4.0 6.0 1
sd(data$PTS, na.rm = TRUE)
## [1] 1.368362
qqnorm(data$PTS)
boxplot(data$PTS)
table(data$X)/length(data$X)
##
## Anaheim Ducks Arizona Coyotes Boston Bruins
## 0.03225806 0.03225806 0.03225806
## Buffalo Sabres Calgary Flames Carolina Hurricanes
## 0.03225806 0.03225806 0.03225806
## Chicago Blackhawks Colorado Avalanche Columbus Blue Jackets
## 0.03225806 0.03225806 0.03225806
## Dallas Stars Detroit Red Wings Edmonton Oilers
## 0.03225806 0.03225806 0.03225806
## Florida Panthers Los Angeles Kings Minnesota Wild
## 0.03225806 0.03225806 0.03225806
## Montreal Canadiens Nashville Predators New Jersey Devils
## 0.03225806 0.03225806 0.03225806
## New York Islanders New York Rangers Ottawa Senators
## 0.03225806 0.03225806 0.03225806
## Philadelphia Flyers Pittsburgh Penguins San Jose Sharks
## 0.03225806 0.03225806 0.03225806
## St. Louis Blues Tampa Bay Lightning Toronto Maple Leafs
## 0.03225806 0.03225806 0.03225806
## Vancouver Canucks Vegas Golden Knights Washington Capitals
## 0.03225806 0.03225806 0.03225806
## Winnipeg Jets
## 0.03225806
table(data$X,data$GP)
##
## 2 3 4
## Anaheim Ducks 0 1 0
## Arizona Coyotes 0 1 0
## Boston Bruins 0 1 0
## Buffalo Sabres 0 0 1
## Calgary Flames 0 1 0
## Carolina Hurricanes 0 1 0
## Chicago Blackhawks 0 0 1
## Colorado Avalanche 0 1 0
## Columbus Blue Jackets 0 0 1
## Dallas Stars 0 0 0
## Detroit Red Wings 0 0 1
## Edmonton Oilers 0 0 1
## Florida Panthers 1 0 0
## Los Angeles Kings 0 1 0
## Minnesota Wild 0 1 0
## Montreal Canadiens 0 1 0
## Nashville Predators 0 1 0
## New Jersey Devils 0 1 0
## New York Islanders 0 1 0
## New York Rangers 0 1 0
## Ottawa Senators 0 1 0
## Philadelphia Flyers 0 0 1
## Pittsburgh Penguins 0 0 1
## San Jose Sharks 0 1 0
## St. Louis Blues 0 1 0
## Tampa Bay Lightning 1 0 0
## Toronto Maple Leafs 0 0 1
## Vancouver Canucks 0 0 1
## Vegas Golden Knights 0 1 0
## Washington Capitals 0 0 1
## Winnipeg Jets 0 1 0
\[ H_0: \mu = 3\\ H_A: \mu\neq 3 \]
t.test(data$GP, mu = 3.25)
##
## One Sample t-test
##
## data: data$GP
## t = 0.1565, df = 29, p-value = 0.8767
## alternative hypothesis: true mean is not equal to 3.25
## 95 percent confidence interval:
## 3.048862 3.484472
## sample estimates:
## mean of x
## 3.266667
lesspp = data[which(data$PPO <= data$PPOA),]
morepp = data[which(data$PPO > data$PPOA),]
t.test(lesspp$W,morepp$W)
##
## Welch Two Sample t-test
##
## data: lesspp$W and morepp$W
## t = -0.065226, df = 23.136, p-value = 0.9486
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.5840184 0.5483041
## sample estimates:
## mean of x mean of y
## 1.625000 1.642857
t.test(data$GP, mu = 4)
##
## One Sample t-test
##
## data: data$GP
## t = -6.8861, df = 29, p-value = 1.448e-07
## alternative hypothesis: true mean is not equal to 4
## 95 percent confidence interval:
## 3.048862 3.484472
## sample estimates:
## mean of x
## 3.266667
The entire project can be found at the following links. Note the number corresponds to the part of the project.