With the launch of AJ’s Fitness and as their current MBA intern, I was tasked with analyzing the results of a recent survey that was given the fitness center’s current members. Of the 1,833 members surveyed, we receive 133 usable responses. The following report details an analysis of the results from the membership survey, as well as some suggested changes that can be implemented by new management to increase overall membership satisfaction.

Overall Satisfaction & Visits Levels
In first looking at overall membership satisfaction, I wanted to determine if there was a relationship between overall service satisfaction and typical visits per week.

Overall Service Satisfaction| Average Visits per Week|
1- Very Unsatisfied| 1.60|
2 - Unsatisfied| 2.25|
3 - Neutral| 2.94|
4 - Satisfied| 2.72|
5 - Very Satisfied| 3.10|

As you can see from the pivot table above, memberships’ overall satisfaction directly correlates to their average visits per week. Moreover, members that visit more per week have higher overall satisfaction in the service of the fitness center.

Gender Analysis: Visit Levels & Exercise Programs
To further analyze membership satisfaction, I wanted to break down the visit levels by gender and see if there was any correlation in exercise programs satisfaction.

Gender| Average of Typical Visits Per Week| Average of Exercise Programs Satisfaction(5= Very Satisfied, 1=Very Unsatisfied)| Average of Months With the Club| Male| 2.10| 2.55| 37.19|
Female| 3.07| 2.96| 36.16|

From the pivot table above, male members on average typically attended the fitness center less than females per week. And, although there is a small distinction, females have a higher satisfaction than males with the exercise programs. A possible assumption can be made that females utilize the exercise programs more than males. However, male members on average have been with the fitness center slightly...

...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 evaluate the success of CCResorts in fulfilling their key performance indicators as outlined in their business plan, determines the clientele that are attracted to CCResorts and analyses the effect of different variables on the expected expenditure of the customers. The statistical analysis yielded several significant conclusions discussed in terms of their implications for CCResorts. The sample meets with key performance indicator 1 with over 40% of guests staying the full week. There is sufficient evidence to suggest that over 40% of the total population also stay 7 days at CCResorts. On average, majority of customers do not spend more than $255 per day at the resort. Despite this, there are certain demographics that are more likely to achieve a higher expenditure per day. Firstly, the age of the guest impacted their daily expenditure with customers who were older tending to spend slightly more than their younger counterparts. Furthermore, guests who stayed in large groups had a greater likelihood of fulfilling the second key performance indicator. Customers with an income over $100 000 p.a were more inclined to spend more money in excess of accommodation costs.
introduction
The central focus of this statistical report is to determine the success of CCResorts in achieving their key performance...

...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...

...compliments the regular mathematics and therefore both are tested in primary schools. Mathematics is the written application of operation. It teaches students to think clearly, reason well and strategize effectively. Mental Mathematics is the ability to utilise mathematical skills to solve problems mentally. The marks scored by pupils generate statistics which are used by teachers to analyse a student’s performance and development of theories to explain the differences in performance.
The Standard 3 class is where the transition from junior to senior level occurs where teachers expect the transference of concrete to abstract thinking would have occurred.
A common theory by many primary school teachers is ‘Students perform better in Mathematics than Mental math. Mental math is something that has to be developed and involves critical thinking. Mental math requires quick thinking and the student must solve the problem in their minds whereas in regular mathematics, the problem can be solved visually. Therefore, teachers should take these factors into consideration while testing and marking students in these areas.’
In this study, the statistics of 30 students of a standard 3 class of San Fernando Boys’ Government School will be analysed to determine the truth of this theory.
DATA COLLECTION METHODS
Mathematics and mental mathematics marks of term 1 of the class of 2013 were obtained from a Standard 3 teacher of San Fernando Boys’...

...Organization of Terms
Experimental Design
Descriptive
Inferential
Population
Parameter
Sample
Random
Bias
Statistic
Types of
Variables
Graphs
Measurement scales
Nominal
Ordinal
Interval
Ratio
Qualitative
Quantitative
Independent
Dependent
Bar Graph
Histogram
Box plot
Scatterplot
Measures of
Center
Spread
Shape
Mean
Median
Mode
Range
Variance
Standard deviation
Skewness
Kurtosis
Tests of
Association
Inference
Correlation
Regression
Slope
y-intercept
Central Limit Theorem
Chi-Square
t-test
Independent samples
Correlated samples
Analysis-of-Variance
Glossary of Terms
Statistics - a set of concepts, rules, and procedures that help us to:
organize numerical information in the form of tables, graphs, and charts;
understand statistical techniques underlying decisions that affect our lives and well-being; and
make informed decisions.
Data - facts, observations, and information that come from investigations.
Measurement data sometimes called quantitative data -- the result of using some instrument to measure something (e.g., test score, weight);
Categorical data also referred to as frequency or qualitative data. Things are grouped according to some common property(ies) and the number of members of the group are recorded (e.g., males/females, vehicle type).
Variable - property of an object or event that can take on different values. For example,...

...Statistics Vocabulary
Chapter 1
Data are collections of observations ( such as measurements, genders, survey responses)
Statistics is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusion based on the data
A Population is the complete collection of individuals (scores, people, measurements and so on) to be studied. The collection is complete in the sense that includes ALL of the individuals to be studied
A census is the collection of data from EVERY member of the population
A sample is a subcollection of member selected from a population
A Parameter is a numerical measurement describing some characteristic of a population
A statistic is a numerical measurement describing some characteristic of a sample
Quantitative (or numerical) data consist of numbers representing counts or measurements
Categorical (or qualitative or attribute) data consist of names or labels that are not numbers representing counts or measurements
Discrete data result when the number of possible values is either a finite number or a “countable” number. (That is, the number of possible values is 0 or 1 or 2 and so on
Continuous (numerical) data result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions, or jumps
The nominal level of measurement is characterized by data...

...
Business Analytics: Unit 1: Descriptive Statistics and Mathematical Foundations
Kaplan University
March 23, 2014
Descriptive Statistics and Mathematical Foundations
Part I: Pie Chart & Bar Graph
This information regards T-100 Domestic Market’s boarding information during the previous year for the top seven airlines in the United Sates. According to the data Southwest Airlines boarded 81.1 million; Delta Airlines, 79.4 million; American Airlines, 72.6 million; United Airlines, 56.3 million; Northwest Airlines, 43.3 million; U.S. Airways, 37.8 million, and Continental Airlines, 31.5 million (KU, 2014).
This is ungrouped data that needs to be grouped into a pie chart and a bar graph. The bar graph and pie chart both lists nonmetric (qualitative) descriptive statistics. The descriptive statistics are called, ordinal statistics which rank each airline from highest to lowest or lowest to highest annual boarding information (Black, 2012). The pie chart and bar graph summarizes the top seven airlines previous years boarding data. First, I will discuss the pie chart. The pie chart below shows the percentage breakdown of each airline’s annual boarding information. Each of the breakdowns represents the magnitude of the whole pie chart in percentages (Black, 2012). As you will notice that the leaders in the airline industry is Southwest and Delta Airlines with 20 percent followed by American...

...Anytime Fitness
Tatiana Collazo
Club Manager
Prepared For
Michael Collazo,
CEO, Anytime Fitness
May 5, 2013
Anytime Fitness
4450 Black Horse Pike Mays Landing, NJ 08330
(609) 625-1999 www.anytimefitness.com
May 5, 2013
Michael Collazo
CEO, Anytime Fitness
Dear Mr. Collazo:
With this letter I am enclosing the report I prepared on effective ways to grow and find space for Anytime Fitness, which you requested I submit by early May. The report discusses the requirements of Anytime Fitness to meet the needs of growing and having significant amount of space.
Having enough safe and growing plays a major role in our company. When visiting and viewing other fitness clubs you see that having classes and just being more spaces bring more people and are more comfortable.
But business like Anytime Fitness needs to find a good amount space, Research databases and speak with the CEO to see what the
Table of Contents
List of Illustrations………………………………………………………......4
Summary…………………………………………………………………......5
Introduction………………………………………………………………….6
Purpose/Background……………………………………………………………..6
Solution………………………………………………………………………….....6
Preview of Organization………………………………………………………….6
Body…………………………………………………………………………..7...

...Major Statistics Assignment
Mary Grace Rivero
050853639
CNUR860-011
Vaska Micevski
Friday, March 30, 2012
Major Statistics Assignment
This major statistics assignment will finally pull together everything that was learned in this course. The application of all content within this course will be incorporated to three different research scenarios. Within each scenario, hypothesis testing will be done, followed by a discussion of relevant descriptive statistics and finally, a discussion of the findings which includes nursing practice implications and research implications.
Research Scenario #1
In this research scenario, the researchers were interested in the following research question: “Is there a difference in nurses’ abilities to identify nursing skills that reflect knowledge of client centered care values of A) respect and human dignity B) consistency, continuity and timelessness of care or C) patient autonomy, patient voice and patient as decision maker.” To answer this research question, a hypothesis testing will be conducted followed by a discussion of the findings. The discussion of the findings will include a discussion of descriptive statistics, followed by nursing and research implications.
Hypothesis Testing
Step 1. The first step in hypothesis testing is to state the null and research hypothesis. The null hypothesis can be: “There is no difference in the nurse’s abilities...