Dani Socher
Statistics Project
Mr. Seufer
1/15/2013
Shooting Guards and Field Goal Percentage
In the NBA, games are won by shooting the ball well, which makes sense. The more times your team’s players get the ball in the hoop, the more points are scored. And the more points scored, the more games won. Obviously, it is a little more complicated than that in reality, given how important defense is. But field goal percentage should be a solid indicator of games won. Field goal percentage is as simple as made shots divided by shot attempts. Once we discover if field goal percentage indicates team success, we should then examine how teams can choose players in the draft with higher field goal percentages; better shooters. We will be focusing on shooting guards, as they are the players who shoot unassisted the most. To start, a scatterplot searching for the correlation between winning percentage of NBA teams so far in 2012-2013, and the NBA team field goal percentages. Win%

Win%
FG%
FG%

There is a fairly strong positive correlation, as can be seen from the scatterplot. The correlation coefficient, or R, should be examined to confirm what the eye test tells us. R = .638
.638 shows a fairly strong positive correlation, as it is close to 1. It is clear that a higher field goal percentage means your team has a much better shot at finishing with a good winning percentage, although it is not a perfect rule. With this knowledge, one would assume that teams should attempt to draft players who will shoot high field goal percentages. Obviously, teams do attempt to do this. Are there certain physical characteristics that predict field goal percentage, and thus NBA success? For the sake of this study, the focus will be on shooting guards. The players at the shooting guard position shoot more in isolation plays than players at any other position in the NBA. Shots out of isolation are unassisted, which means that their chances at going through the hoop are almost...

...vital statistics of populations studied probability through games of chance, gambling |
18th Century | Laplace, Gauss | normal curve, regression through study of astronomy |
19th Century | Quetelet
Galton | astronomer who first applied statistical analyses to human biologystudied genetic variation in humans(used regression and correlation) |
20th Century (early) | PearsonGossett (Student)
Fisher | studied natural selection using correlation, formed first academic...

...PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT
ANSWERS TO EXERCISE 23
Question 1
The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables, as it is less than the 0.3 threshold for significance. Therefore, the r value is not significant.
Question 2
Between r=1.00 and r=-1.00, there is no difference in terms of strength. Both values are on the extreme ends of the spectrum and...

...
Final Project: Nyke Shoe Company
Barbara Greczyn
STA 201 - Principles of Statistics
Instructor Alok Dihtal
April 26, 2015
Introduction
Nyke Shoe Company has been in business for over 50 years. Over the last five years, the company has been undergoing some financial hardship due to an erratic market and an inability to understand what the consumer actually needs. In a last ditch effort to avoid bankruptcy, they have adopted a new...

...Diversified Global holdings group
Strategic analysis
business analytics department for CCResorts Central coast
Strategic analysis
BUsiness analytics Department
Executive summary
This study was produced on behalf of the Business Analytics Department at DGHG for CCResorts in order to examine market research and determine how the venture is progressing. The company provided a data sample from the past 12 months with 200 entries, each with 6 variables. The aim of this report is to...

...averages last year is an example of what type of statistics? Determining the averages they can expect next year is an example of what type of statistics?
A. They are both examples of inferential statistics because averages are inferred in both instances.
B. Inferential statistics; descriptive statistics.
C. They are both examples of descriptive statistics because they deal with analyzing data.
D....

...Syllabus for Statistics
Course No. 21090024
Period：54
Credit：3
Course Nature：Compulsive
Assessment: Usually 10%, Group Work 20%, Final Exam70%
Textbook：
Statistics(3rd Edition)，
Junping Jia，Xiaoqun He，Yongjin Jin，China Renmin University Press，2007
Reference：
Statistics for Business and Economics(7th Edition)
Anderson, D.R., & Sweeney, D.J. & Williams, T.A.
1.Introduction
Statistics is a core curriculum for students in finance and...

...shirt is classiﬁed as either perfect or as ﬂawed and the shift that produced the shirt is also recorded. In the test on the relation between quality and shift that the manager can now perform, what is the number of degrees of freedom of the test statistic? a. The number of degrees of freedom is 2. b. The number of degrees of freedom is 6. c. The number of degrees of freedom is 598. d. The number of degrees of freedom is 599. 3. A police oﬃcer believes that half of the cyclists...