This paper will indicate the economical and statistical scope of the sports industry and how much students at the University of La Verne are spending and/or willing to spend on sports entertainment. The objective of this project is to experiment and analyze La Verne’s student’s consumption on a variety of different sports merchandise/services. Our group conducted an on campus survey with approximately 200 data. Based on these data; we were able to extract variations and study it using statistical analysis, hypothesis testing, and regression analysis.

Introduction

Understanding sports entertainment and how much consumers are willing to spend on sports is imperative for businesses to research and survey. The average Americans spent on sports entertainment in 2010 was approximately 25.4 billion, based on the U.S. Bureau of Labor Statistics reported in August 2012. (U.S. BLS) Sports entertainment spending dropped 8 percent from 2009 as consumers tightened their belts in an uncertain economy. People spent less on sports events, sports apparel, and different sports merchandise. However, at the same time, Americans spent more on home-based entertainment such as cable television and watching sports at home. We put our hypothesis to test by inquiring different variations. Here is an exhibit of our survey that we conducted:

...
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 business model which entails the development of only one shoe size. In order to achieve this goal, statistical data must be utilized and applied to make the best choice. The data used will be explained to the fullest and a conclusion will be then obtained.
Methodology
A sample group of 35 participants was gathered, 18 females and 17 males. Their heights and shoe sizes were gathered and their data was processed in three categories: shoe size, height, gender. Descriptive statistics was applied to three separate data sets, one with all participants included, one sets with just female participants, and one with just male participants. Then a two sample t-test was conducted with the assumption that there were unequal variances amongst both male and female data sets.
Results
There is a normal distribution of the data with ranges in size from size 5 to size 14 amongst the participants. With these ranges, the mean is 9.142, with a standard deviation of 2.583 and a variance...

...of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok used this sampling method are that the cost per observation in the survey may be reduced and it also enables to increase the accuracy at a given cost.
TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean
107.15
Std Dev
5.1536687
Std Err Mean
0.3644194
Upper 95% Mean
107.86862
Lower 95% Mean
106.43138
N
200
Sum
21430
From the table above, the total number of passengers for route 1 is 44,266, route 2 is 29,131 and route 3 is 21,430 and the total numbers of passengers for 3 routes are 94,827.
Although route 1 has the highest number of passengers and flights but it has the lowest means of passengers among the 3 routes. From...

...MATH 533
Project B
Summary:
a) The mean sales per week surpasses 41.5 per salesperson. This is the right assumption. Statistical evidence is sufficient to back this claim with associated probability of committing an error which is called p-value = .022. The lower limit of the 95% confidence interval is 41.654. This implies that we can be 95% confident that the average (mean) sales per week exceeds 41.5 per salesperson since 41.654 > 41.5 and therefore our confidence interval does not include 41.5. If samples of size 100 are to be taken from the population of 1000 salespeople of the company again and again, the average (mean) sales per week will exceed 41.5 per salesperson, 95% of the times.
b) The true population proportion of salespeople that received online training is less than 55%. Regarding this claim, the statistical evidence in not sufficient to conclusively say that the true population proportion of salespeople that received online training is less than 55%. The p-value associated with it is .157 or approximately 16% this is higher than the acceptable 5% level. Looking at the 95 % confidence interval, the upper bound is .582 which implies that .55 is in the interval, and therefore the hypothesis that p=.55 cannot be rejected in favor of the claim.
c) The average (mean) number of calls made per week by salespeople that had no training is less than 145. The number of salespeople without training in the sample of 100 is only 20, so the test...

...serving size. Cereal is a staple in my home, but chosen for different reasons. Cereals that are popular with kids are starting to advertise more fiber and grains, which capture a parent’s eye. Is eating a blander colored cereal really more healthy than a vibrant colored one?
| | | | | | | | | | |
| | | | | | | | | | |
Category(X): | Cheerios | Crispix | Go Lean | Grapenuts | Rice Crispies | Special K | Honey Comb | Corn pops | Fruit Loops | Homey Smacks |
P(X=x): | 0.0118 | 0.0382 | 0.0443 | 0.0465 | 0.0554 | 0.12 | 0.138 | 0.167 | 0.173 | 0.205 |
| | | | | | | | | | |
| | | | | | | | | | |
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Top of Form
For this project, I compared the sugar content of equal serving sizes of 10 various breakfast cereals. Since serving sizes varied from brand to brand, the results were computed based on a serving size equal to 50 grams. The sugar content per 50 gram serving size was computed by using the following formula:
50 grams = Serving size to be compared
(50 x Sugar per serving) / Serving Size
Example: (50 * 1) / 30 = 1.67g of sugar per 50.00g serving
A histogram was created using a bar chart to display the sugar content per 50 gram serving size of the various cereals. The raw data (sugar content and serving size) was obtained from the nutritional content label located on the side of each box of cereal.
Median: The median is 11.82...

...disposable personal income, the PCE increase by 0.0953 billion dollars
(c) Comment on the significance of model (α = 0.05)
Hypotheses:
H0: β1 =0 H1 : β1 ≠ 0
Decision rule: reject H0, if |tcalc|> |t(α/2, n-k-1)|
Where tcrit = t (0.025, 98) =1.9845
Test statistic: t = = = 48.368
Decision: Reject H0 because t calc > t crit
Conclusion: There is sufficient evidence to conclude that there is significant relationship between disposable personal income and PCE at 5% level of significance.
(d) The coefficient of determination
519797.8574/541572.1763=0.9598
It implies 95.98% of the variation in PCE can be explained by the variation in disposable personal income. The rest 4.02% of the variation in PCE is due to factors other than disposable income.
(e) Test the assumptions
1. Linear test
We can find the assumption of linearity is not violated because this plot is approximately a straight line in this diagram.
2. Independent test
Hypotheses:
H0:=0 H1: ≠ 0
Decision rule: Reject H0 if D< dL (α,k,n)
Do not reject H0 if D > du
No decision if dL < D < du
Where dL (0.05,1,100)=1.65 and du(0.05,1,100)=1.69
Test statistic: Dcalc=6192.4602748/21774.3187301= 0.2844
Decision: Reject H0 because D < dL
Conclusion: There is sufficient evidence to conclude that there is positive autocorrelation at 5% level of significance.
We can evaluate the assumption of...

...1. Introduction
This report is about the case study of PAR, INC. From the following book: Statistics for Business an Economics, 8th edition by D.R. Anderson, D.J. Sweeney and Th.A. Williams, publisher: Dave Shaut. The case is described at page 416, chapter 10.
2. Problem statement
Par, Inc. has produced a new type of golf ball. The company wants to know if this new type of golf ball is comparable to the old ones. Therefore they did a test, which consists out of 40 trials with the current and 40 trials with the new golf balls. The testing was performed with a mechanical fitting machine so that any difference between the mean distances for the two models could be attributed to a difference in the design. The outcomes are given in the table of appendix 1.
3. Hypothesis testing
The first thing to do is to formulate and present the rationale for a hypothesis test that Par, Inc. could use to compare the driving distance of the current and new golf balls. By formulation of these hypothesis there is assumed that the new and current golf balls show no significant difference to each other. The hypothesis and alternative hypothesis are formulated as follow:
Question 1
H0 : µ1 - µ2 = 0 (they are the same)
Ha : µ1 - µ2 ≠ 0 (the are not the same)
4. P-value
Secondly; analyze the data to provide the hypothesis testing conclusion. The p-value for the test is:
Question 2
Note: the statistical data is provide in § 5.
-one machine
-two...

...STATISTICSPROJECT
The balance is a interval, numerical and continuous variable. The ATM is a ratio, numerical, discrete variable. Services is a ratio, numerical, discrete variable. Debit, interest and city are a categorical, nominal variable.
As the graph, shows below, the balance of the typical customer, otherwise known as the mean is equal to 1499.87. 12 customers have more than $2,000 in their account. This number is relatively high because the account balances tend to cluster between $1,000 and $2,250.
The standard deviation of the checking account balances 596905 and the range is 2525. The first quartile shows that 25 percent of the data are lower 1122.50 and the third quartile shows that 75 percent of the data are lower 1935.50. The standard deviation is the positive square root of the variance. It is a measure of variability used in statistics. It shows how much variation exists from the average. A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data points are spread out over a large range of values.
For the checking balances the mean is 1499.87 while the median is 1604.50. The highest mean and median is in Atlanta, followed by Erie, then Louisville and finally Cincinnati. Atlanta has a high mean and median compared to the other cities who have means and medians that are relatively close in value....

...HIGHER COLLEGES OF TECHNOLOGY
ABU DHABI MEN’S COLLEGE
CIS 2003
Assessment 4 – Group Project
Programme Name:
Bachelor Degree
Course Code and Name:
CIS 2003
Time Allowed:
( 3 Weeks )
Assessment Number:
4
LO/Goals Covered by this Assessment:
1,2,3,4,5
Special Instructions:
Read the entire Project.
No Outside Help is Allowed
You are Not Permitted to work with anyone else, Inside or Outside the College on the Project, other than your fellow group members
It must be the Groups Original Work
Conditions:
Work in Groups if 2 – 3 students
Email to your Instructor a Softcopy of the Project
A 5% Penalty will be given for each day Late
% of Final Grade:
15%
Total Marks Available:
70
Student ID:
Student Section:
Result:
/ 70
HCT Academic Honesty Policy
Academic dishonesty will not be tolerated within the HCT. Academic dishonesty includes cheating, plagiarism (copying) or any other attempt to gain an academic advantage in a dishonest or unfair manner. Breaches of the Academic Honesty Policy will result in dismissal from HCT
Project Objectives:
To estimate the population parameters from sample statistics, using interval estimate (90%, 95% and 99% levels).
The project consists of three parts as listed below. You should carefully read the instructions. This project is Group based (2 – 3) and each Group will have different...