Question: Normal Probability Distribution Instructions Use the table and the data provided to analyze the 2015/2016 points per game for the LA Lakers. Players Average points
Normal Probability Distribution
Instructions
Use the table and the data provided to analyze the 2015/2016 points per game for the LA Lakers.
Players
Average points per game 2015/2016
x
Deviation from the Mean
(x)
Square of the Deviation
(x)
z-Score
x
Anthony Brown
4.0
-0.787
0.6194
-0.109
Brandon Bass
7.2
2.413
5.8226
0.334
D'Angelo Russell
13.2
8.413
70.779
1.163
Jordan Clarkson
15.5
10.713
114.77
1.481
Julius Randle
11.3
6.513
42.419
0.900
Kobe Bryant
17.6
12.813
164.17
1.771
Larry Nance Jr.
5.5
0.713
0.508
0.099
Louis Williams
15.3
10.513
110.52
1.453
Marcelo Huertas
4.5
-0.287
0.082
-0.04
Metta World Peace
5.0
0.213
0.045
0.029
Nick Young
7.3
2.513
6.315
0.347
Robert Sacre
3.5
-1.287
1.656
-0.178
Roy Hibbert
5.9
1.113
1.238
0.154
Ryan Kelly
4.2
-0.587
0.0345
-0.081
Tarik Black
3.4
-1.387
1.924
-0.192
Total
x = 4.787
(x ) = 52.358
Standar Deviation: 7.236
Work: Second Column/ 7.236
Sum of z-scores: 7.131
Source: http://www.espn.com/nba/team/stats/_/name/lal/los-angeles-lakers
Part A: Complete the table. (5 points)
- Calculate the mean () for the players listed.
- Fill in the table by calculating the deviation from the mean, (x ), the square of the deviation, (x ), and the sum of the squares of the deviation.
- Calculate the variance.
- Calculate the standard deviation.
- Calculate the z-score for each player.
Part B: Answer the following questions. (15 points)
- What does the z-score determine?
- Analyze the player's average points per game that is farthest from the mean. Evaluate the z-score and justify whether it is reasonable.
- Analyze the player's average points per game that is closest to the mean. Evaluate the z-score and justify whether it is reasonable.
- Explain why negative z-scores are present.
- What is the sum of the z-scores? Evaluate your calculation and justify it with statistical reasoning.
Part C: Compare the data. (10 points)
Use the table presented below for z-scores for the salaries of the LA Lakers in 2015/2016.
Player
Salary 2015/2016
x
z-Score
x
Anthony Brown
$525,093
0.65
Brandon Bass
$3,000,000
0.27
D'Angelo Russell
$5,103,120
0.05
Jordan Clarkson
$845,059
0.60
Julius Randle
$3,132,240
0.25
Kobe Bryant
$25,000,000
3.07
Larry Nance Jr.
$1,155,600
0.55
Lou Williams
$7,000,000
0.33
Marcelo Huertas
$525,093
0.65
Metta World Peace
$1,499,187
0.50
Nick Young
$5,219,169
0.06
Robert Sacre
$981,358
0.58
Roy Hibbert
$15,514,031
1.63
Ryan Kelly
$1,724,250
0.47
Tarik Black
$845,059
0.60
Source: http://www.lakersnation.com/los-angeles-lakers-salaries/
Choose two players from the table above. Use the average points per game data and salary data of the players you chose to determine which of your two players is paid more. Is this fair? Use your z-score data to help in your explanation. Be sure to justify your reasoning.
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