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A TSN analyst collected data relating to the free throw percentage of 400 basketball players.He recorded average number of free throws taken per game,height of player,position played (guard,centre,etc.) ,and what routine they follow before shooting (dribble once,spin ball on hand,etc.) .
A) Average number of free throws per game,quantitative,number of games; height of player,quantitative,centimetres; routine before shooting,categorical.
B) Average number of free throws per game,quantitative,number of free throws; height of player,quantitative,centimetres; position played,categorical; routine before shooting,quantitative,number of habits.
C) Average number of free throws per game,quantitative,number of free throws; height of player,quantitative,centimetres; position played,categorical; routine before shooting,categorical.
D) Average number of free throws per game,quantitative,number of free throws; height of player,quantitative,centimetres; position played,categorical.
E) Average number of free throws per game,quantitative,number of free throws; height of player,quantitative,centimetres; position played,quantitative,position; routine before shooting,categorical.
Free Throw Percentage
A statistical measure used in basketball to assess a player's efficiency at scoring by free throws, calculated as the number of free throws made divided by the number of attempts.
Basketball Players
Athletes who participate in the sport of basketball, often characterized by skills in shooting, dribbling, and teamwork.
Average Number
The statistical measure obtained by dividing the sum of a set of values by the count of values in the set, commonly used to describe the central tendency of the data.
- Obtain insight into the different kinds of data, namely quantitative and categorical, and their relevance to various research conditions.
- Perceive the value of designating units of measurement throughout the processes of collecting and reporting data.
- Acquire knowledge about the concept of variables and how they may be grouped (for example, age, weight, type of contribution).
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Learning Objectives
- Obtain insight into the different kinds of data, namely quantitative and categorical, and their relevance to various research conditions.
- Perceive the value of designating units of measurement throughout the processes of collecting and reporting data.
- Acquire knowledge about the concept of variables and how they may be grouped (for example, age, weight, type of contribution).
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