#Question #5 Consider the following vectors representing the number
of field goals made and attempted by a basketball player in five
games:
Field Goals Made: c(18, 7, 6, 9, 10,13) Field Goals Attempted: c(36,
23, 12, 18, 24,22)
Calculate the field goal percentage for each game and select the
correct average field goal percentage for the five games.
made <- c(18, 7, 6, 9, 10, 13)
attempted <- c(36, 23, 12, 18, 24, 22)
fg_pct <- made / attempted *100
mean(fg_pct)
[1] 46.86539
avg_fg_pct <- mean(fg_pct)
avg_fg_pct
[1] 46.86539
#Question 6 Consider the following vectors in R representing the
number of three-pointers made (3PM) and attempted (3PA) by a basketball
player over a seven-game span:
Three-Pointers Made: c(3, 5, 10, 6, 3, 7, 1)
Three-Pointers Attempted: c(9, 10, 18, 12, 11, 12, 11)
Calculate both the average of the individual per-game three-point
percentages and the overall (cumulative) three-point shooting percentage
across all seven games.
made <- c(3, 5, 10, 6, 3, 7, 1)
attempted <- c(9, 10, 18, 12, 11, 12, 11)
three_pct <- (made / attempted) * 100
three_pct
[1] 33.333333 50.000000 55.555556 50.000000
[5] 27.272727 58.333333 9.090909
avg_three_pct <- mean(three_pct)
avg_three_pct
[1] 40.51227
overall_three_pct <- sum(made) / sum(attempted) * 100
overall_three_pct
[1] 42.16867
#Question 7 Consider the following dataset representing the
performance of baseball players in a season. It includes the following
variables: PlayerID, Hits, At-Bats, Home Runs (HR), Walks (BB), and
Strikeouts (SO). Compute the On-Base Percentage (OBP) for each player
and select the player with the highest OBP. (Formula: OBP = (Hits +
Walks) / (At-Bats + Walks))
PlayerID <- c(1, 2, 3, 4, 5)
Hits <- c(112, 124, 121, 106, 140)
AtBats <- c(400, 450, 380, 500, 402)
HR <- c(25, 22, 8, 20, 11)
BB <- c(50, 60, 19, 150, 55)
SO <- c(60, 65, 67, 92, 70)
OBP <- (Hits + BB) / (AtBats + BB)
OBP
[1] 0.3600000 0.3607843 0.3508772 0.3938462
[5] 0.4266958
best_player <- PlayerID[which.max(OBP)]
best_player
[1] 5
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