3: Variables in Stata
 Prof. Jack Reilly
 Fall 2026

Instructions
For this assignment, you must turn in two documents:
1. Your answers (as a PDF), and
2. A plain-text .do file containing the Stata code you used to arrive at your answers.
Please consider the data in the following table. You may also find this data as a .dta file on the course Blackboard page.
Dataset
Player
	G
	MP
	FG
	FGA
	3P
	3PA
	TRB
	AST
	STL
	BLK
	TOV
	PF
	PTS
	
Carmelo Anthony
	35
	1274
	277
	612
	56
	166
	349
	77
	55
	30
	77
	77
	778
	
Hakim Warrick
	35
	1146
	197
	364
	0
	1
	297
	57
	49
	44
	92
	94
	518
	
Gerry McNamara
	35
	1236
	146
	364
	85
	238
	80
	155
	77
	2
	85
	69
	467
	
Kueth Duany
	35
	944
	133
	303
	43
	123
	128
	71
	36
	17
	57
	75
	386
	
Billy Edelin
	23
	533
	80
	146
	0
	2
	78
	58
	24
	2
	53
	22
	208
	
Josh Pace
	32
	469
	62
	118
	0
	2
	86
	60
	26
	8
	37
	33
	138
	
Craig Forth
	35
	618
	56
	115
	0
	1
	116
	30
	15
	41
	39
	90
	132
	
Jeremy McNeil
	35
	657
	54
	81
	0
	0
	146
	8
	9
	100
	36
	112
	117
	
Matt Gorman
	9
	76
	8
	23
	0
	1
	19
	1
	3
	2
	5
	14
	21
	
Andrew Kouwe
	6
	10
	3
	5
	2
	2
	2
	2
	0
	0
	1
	2
	10
	
Ronneil Herron
	5
	9
	2
	3
	0
	0
	5
	0
	0
	0
	1
	0
	6
	
Xzavier Gaines
	6
	21
	1
	8
	0
	3
	2
	1
	1
	0
	2
	0
	2
	
Gary Hall
	5
	6
	1
	1
	0
	0
	2
	2
	1
	1
	0
	0
	2
	
Tyrone Albright
	7
	20
	0
	2
	0
	1
	2
	1
	2
	0
	3
	1
	0
	
Josh Brooks
	5
	6
	0
	1
	0
	0
	1
	0
	0
	0
	0
	1
	0

Variable definitions:
•	G = Games Played

•	MP = Minutes Played

•	FG = Field Goals Made

•	FGA = Field Goals Attempted

•	3P = Three Point Field Goals Made

•	3PA = Three Point Field Goals Attempted

•	TRB = Total Rebounds

•	AST = Assists

•	STL = Steals

•	BLK = Blocks

•	TOV = Turnovers

•	PF = Personal Fouls

•	PTS = Points Scored
—————
Questions
1.	What is the unit of analysis (the cases) in this table?
2.	Identify the level of measurement of each variable.
3.	What is the mean, median, and mode of the “games played” variable in this data?
4.	Do you think the mean, median, or mode is the best estimate of central tendency for games played? Why?
5.	Many analysts like to create a statistic called “Stocks,” which is the sum of steals and blocks by a player. Create this variable as STK. Who had the most stocks on the team?
6.	Calculate each player’s field goal percentage and three point field goal percentage, storing each in new variables FGP and TPP. Who led the team in field goal percentage and three point percentage?
7.	Transform the variable PTS, generating a new variable PPG (average points scored per game played). How many points per game did Carmelo Anthony, Gerry McNamara, Josh Pace, and Jeremy McNeil average? Who led the team in points per game?
8.	Do the same for 3P, TRB, AST, STL, BLK, and TOV. Who led the Orange in each statistical category per game?
9.	Transform PTS again to generate PPM (points per minute played). Who led the Orange in points per minute?
10.	Create a scatterplot with points per minute (PPM) on the Y axis and minutes played (MP) on the X axis. Add a best-fit line. What is the relationship between points per minute and minutes played?