Premium Essay

Econ1203

In: Business and Management

Submitted By fabo16
Words 2041
Pages 9
Statistical Analysis: CCResort
Statistical Analysis: CCResort
Student iD: z3465316
Student iD: z3465316
Business analytics department
Nick Fabrio
Business analytics department
Nick Fabrio
2013
2013

Executive Summary:

The following report was prepared by the Business Analytics Department (BAD) to assist with market research. BAD have assessed whether CCResort have positioned themselves as an “upmarket” complex with the ability to appeal to families. In order to assess the outcome of the business plan, BAD have focused on researching the type of customer that is attracted to CCResort, as well as how much they are spending over and above their accommodation costs, in addition to evaluating whether specific key performance indicators have been met.

Approach:

The Business Analytics Department used the following statistical tools to examine CCResort: 1. Descriptive Statistics (Mean, Mode, Range, Median, Skewness and graphical interpretations) 2. Correlation 3. Confidence Intervals 4. Hypothesis Testing

Significant Findings: * CCResort typically hosts families in a higher income bracket over $100,000 (69% of guests) * Guests stay seven nights on average between 44.07% and 57.93% of the time with a 95% certainty. * Expenditure for each guest on a daily basis is between $227.61 and $240.95 on average with a 95% degree of accuracy. * Of all bookings, a significant majority of guests stay for either 2 or 7 nights (88.5%) * The modal age of guest booking accommodation is 50 years old with a mean of 47.33 which most frequently occurs in groups of 4. * The data suggests that couples are attracted to CCResort as a weekend ‘getaway’ typically staying only 2 nights. * Several correlations were tested amongst variables, however only two of these demonstrated any meaningful correlation...

Similar Documents

Premium Essay

Econ1203

...Major project: CCResort Introduction DGHG, a multinational hotels and resort group has opened a new resort and spa facility on the Central Coast of NSW, CCResort. It has also had numerous amounts of money used on promotions, hence wanted to know what type of clientele had been attracted to CCResort. This is for the purposes of evaluating the effectiveness of the resorts service delivery if they were successful in meeting their key performance indicators (KPI’s) stated in their business plan. Features of the data set From the sample data given, 69% of the clientele has a family income exceeding $100,000 as shown in the diagram. Income tends to influence the spending habits with those with an income exceeding $100,000 spending more than those without an income, since a majority of them tend to prefer a full week stay. [pic] As it was the initial plan during the promotions to target the family clientele, this was achieved in that the highest family bookings were at 35% for families with four members followed closely by those with two members at 34% of all bookings. Families with five to six members had the lowest bookings at 10% each as shown in the table. |Table 1. Family members per booking | | | | |members per booking |Frequency |Relative frequency |Cumulative frequency | |Two ...

Words: 1534 - Pages: 7

Premium Essay

Econ1203 Report

...1.0 EXECUTIVE SUMMARY This report is presented by the prestigious consulting firm, Dynamic Econometric Consulting Services (DECS) on behalf of CPResorts. As modern business is facing more competitiveness in daily operation, CPResort who owns a range of holiday resorts throughout Australia aims to provide high-quality services and goods. They hired DECS to analyze whether the new facility will operate successfully with well promotion. This report represents statistical analysis on types of customers attracted by CPResorts Forster and the length, money they are willing to spend among 200 observations over 2 levels of income. The main purpose of the report is to decide whether the customers who prefer to staying a full week is more than 50% and the average customer spends more than $260 per day in excess of accommodation costs. This analysis focuses on the income level, expenditure and age group. What’s more, there will be some analysis about how the income level affects expenditure. Key points * 31% of customers’ consume on the new facility earn under 80000 while 69% earn over 80000. * The average expenditure of customers with higher income (>$80000) is 1466.81 dollars while those with lower income (<$80000) is 517.71 dollars. * Average expenditure per day and average length are increasing with the increment of income. * A positive linear relationship is shown between average expenditure per day and average length with the correlation coefficient is...

Words: 1137 - Pages: 5

Premium Essay

Heheh

...UNSW School of Economics ECON1203 Business and Economic Statistics Session 1, 2015 Major project: AdVantage Purpose The idea is of this assignment is to simulate a professional work task involving statistical analysis. It is designed to help students learn about what is involved in undertaking basic statistical analysis to understand a real-world problem, and communicating the results of this analysis to business stakeholders. Context and Problem You are working as a business analyst for Crunch-IT Consultants, a Sydney-based company that specializes in providing statistical consulting services to small and medium-sized companies. Your company is contacted by AdVantage, a designer of online advertisements whose business model is based on selling their design services to businesses that place ads on social media sites. You attend a breakfast meeting with a senior Crunch-IT consultant and AdVantage’s owner-operator, Arnold Valenzuela, to discuss Arnold’s concerns. At the meeting, Arnold says: “Well, first, I’d like to know whether any of the four designers I’ve hired are underperforming relative to their peers. It’s easy to see that there are big differences across my designers in the styles of their ads, and I can’t help thinking that maybe some styles drive traffic better than others – but maybe that’s not the case. Of course, as with any business, ensuring I am offering a value proposition to clients is key to generating repeat business and word-ofmouth...

Words: 1914 - Pages: 8

Premium Essay

Stats Project

...Tammy Tan z3461062 ECON1203 Lee Lee Ooi ASB 232 (Mon 10:00 – 11:00) JGW - AllRepairs Business Analytics Department: Quality Control z3461062 Executive Summary This report will examine the success of JGW’s AllRepairs in maintaining a high quality of service and isolate any inefficiency in the provision of services. One concern of AllRepairs is in quality control and measures efficiency by the time it takes the mechanic to undertake the assigned task. In order to maximise chance of repeat business, AllRepairs is also interested in maintaining a good relationship with them. An agreed target has been established: at least 82% of customers should be either satisfied or very satisfied with the services provided. In this report, 293 jobs were selected as a sample and the associated customers were surveyed. Data has been collected from the branch that provides repairs to refrigeration units. KEY FINDINGS         95.6% of jobs were completed within one hour with the shortest being 8 minutes and longest 94 minutes Regarding difficulty, 28% of jobs were easy, 61% standard and 11% hard. There is a 50.54% variation in time due to difficulty, and as difficulty increases, so does time. The hard jobs created the greatest range in the time taken. There are no marked differences between mechanics that suggests any one mechanic was less efficient that the other mechanics. 17% of customers were very satisfied with the repair job, 60% were satisfied, 16% dissatisfied, 2%......

Words: 1454 - Pages: 6

Free Essay

Fins2624 Course

...Australian School of Business School of Banking and Finance FINS 2624 Portfolio Management Course Outline Semester 2, 2012 Part A: Course-Specific Information Part B: Key Policies, Student Responsibilities and Support Table of Contents 0 PART A: COURSE-SPECIFIC INFORMATION 1 2 2.1 2.2 2.3 2.4 2.5 3 STAFF CONTACT DETAILS COURSE DETAILS Teaching Times and Locations Units of Credit Summary of Course Course Aims and Relationship to Other Courses Student Learning Outcomes LEARNING AND TEACHING ACTIVITIES 1 1 1 1 1 1 2 2 3 3 4 4 4 5 6 6 5 6 7 1 2 2.1 2.2 2.3 2.4 2.5 3 4 COURSE RESOURCES COURSE EVALUATION AND DEVELOPMENT COURSE SCHEDULE ACADEMIC HONESTY AND PLAGIARISM STUDENT RESPONSIBILITIES AND CONDUCT Workload Attendance General Conduct and Behaviour Occupational Health and Safety KeepingInformed SPECIAL CONSIDERATION AND SUPPLEMENTARY EXAMINATIONS STUDENT RESOURCES AND SUPPORT 7 7 8 1 1 1 1 1 2 2 2 2 4 3.1 Approach to Learning and Teaching in the Course 3.2 Learning Activities and Teaching Strategies 4 ASSESSMENT 4.1 Formal Requirements 4.2 Assessment Details 4.3 Late Submission PART B: KEY POLICIES, STUDENT RESPONSIBILITIES AND SUPPORT PART A: COURSE-SPECIFIC INFORMATION 1 STAFF CONTACT DETAILS Lecturer-in-charge: Joakim Bang Room 311 Phone No: 9385 55484 Mobile: 04 0870 7830 (please keep it roughly within office hours) Email: j.bang@unsw.edu.au Consultation Times: Mondays 15:00 to 17:00, ASB 311. That's in my office in the west wing of the ASB building.......

Words: 4844 - Pages: 20

Premium Essay

Acf 2011 Sem 2

...Accredited Tertiary Courses Listing 2012 Accredited Tertiary Courses Listing 2012 – as at 26 September 2012 1 2012 Accredited Undergraduate Courses AUSTRALIAN CAPITAL TERRITORY The Australian National University University of Canberra NEW SOUTH WALES Australian Catholic University Australian Institute of Higher Education Avondale College Charles Sturt University Kings Own Institute Macquarie University Southern Cross University Top Education Institute The University of New England The University of New South Wales The University of Newcastle The University of Sydney University of Technology, Sydney University of Western Sydney University of Wollongong Williams Business College NORTHERN TERRITORY Charles Darwin University QUEENSLAND Australian Catholic University Bond University Central Queensland University Christian Heritage College Griffith University James Cook University Queensland University of Technology The University of Queensland The University of Southern Queensland University of the Sunshine Coast SOUTH AUSTRALIA Flinders University Kaplan Business School The University of Adelaide University of South Australia Open Universities (conferred by Uni of SA) TASMANIA University of Tasmania VICTORIA Australian Catholic University Cambridge International College Carrick Higher Education Deakin University Holmes Institute Holmesglen Institute of TAFE La Trobe University Melbourne Institute of Technology Monash University Northern Melbourne Institute of TAFE RMIT...

Words: 16200 - Pages: 65