Assignment:
Using the Internet, students will access information and statistics about professional basketball teams. They will use these data to explore relationships between player characteristics and their performance on the basketball court.
Example of the NBA project:
• Students will use the Internet to locate their assigned team's statistics. All required statistics can be found at www.nba.com.
• Students should produce a hard copy their team's location, as well as their team's individual players' season statistics and team roster.
STEP TWO:
• Students will locate their NBA team on an outline map of the United States as closely as possible to the location of the correct city and state.
STEP THREE:
• Students will convert the players' heights given in the Internet tables into inches and the/ages from dates of birth to years. Students will calculate the mean, median, and mode of the players' heights (in inches), weights, and ages (in years).
• Students will calculate the total points scored by each player using the formula:
• 2(FGM) + 3(3PM) + 1(FTM) = total points.
• For each player, they will calculate average points per minute played and average points per game. (See attached worksheets #3 to enter data and calculate measures of central tendency)
STEP FOUR:
• Students should predict relationships (if any) between pairs of variables below and have them justify their predictions.
• Students will generate and create scatter plots between the following pairs of variables:
• age vs. total points scored
• height vs. total points scored
• player number vs. total points scored
• weight vs. total points scored
• They will generate and create bar graphs between the following potential relationships:
• position (Guard, Center, Forward) vs. average height of players at those positions
• position vs. total number of points scored at those positions.
STEP FIVE
Students will interpret the graphs generated in Step 4 and to assess whether the relationships obtained represent positive, negative or no evident correlation.
STEP SIX
• Students will locate a list of player salaries and use that list to relate salaries to points scored, minutes played and points per minute, as well as to calculate costs in dollars per minute played. NBA salaries can be located at https://asp.usatoday.com/sports/basketba/nba/salaries/
Students will report on who is the most expensive player in terms of dollars/minute played and who is the "best buy"--the player who costs the least per point scored.
Students will conduct a multivariate regression to predict player's salary from points scored, minutes played, position played, age, height, weight, and player's number. Discuss findings. Discuss what other variables (if any) should be included in the model.
STEP SEVEN
Students will write a summary of their findings.
Students will present their findings to the class in week nine.
Attachment:- Performance Assessment.rar