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Question
a sample of five players on the runs batted in (rbi) leaderboards during the 2012 major league baseball season are listed in the following table. a batter is credited with one rbi for each run scored during one of their at-bats. also included are the teams for which they played, their primary positions, and their weights. identify the type of data provided by the information in each column of the table.
| player | team | position | rbi | weight (lb) |
|---|---|---|---|---|
| e. encarnacion | toronto | 1b | 110 | 230 |
| j. willingham | minnesota | lf | 110 | 230 |
| a. soriano | chicago cubs | lf | 108 | 215 |
| b. butler | kansas city | dh | 107 | 260 |
identify the type of data provided by the information in each column of the table.
player: qualitative
team: qualitative
position: qualitative
rbi: quantitative, discrete
weight: quantitative, continuous
- Player: Names of players are non - numerical labels used to identify individuals, so this is qualitative data (categorical, used for identification or classification).
- Team: Names of teams are also non - numerical labels that categorize the players' teams, so it is qualitative data.
- Position: The positions (LF, 1B, DH) are non - numerical categories that describe the role of the player, so it is qualitative data.
- RBI: RBI values are counts (number of runs batted in) and can only take whole number values (you can't have a fraction of an RBI), so it is quantitative (numerical) and discrete.
- Weight: Weight is a numerical measurement. Although the values in the table are whole numbers, weight can theoretically take any value within a range (e.g., a player could weigh 205.5 lb), so it is quantitative and continuous.
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- Player: Qualitative
- Team: Qualitative
- Position: Qualitative
- RBI: Quantitative, Discrete
- Weight: Quantitative, Continuous