![Sheet1UNITED ARAB EMIRATES MOBILE DEMAND - June
2005UNITS2001A2002A2003A2004A2005E2006E2007E2008E
2009E2010EDEMOGRAPHICSPopulation[000]3,488 3,754
4,041 4,340 4,640 4,940 5,259 5,599 5,961 6,347 Nominal
GDP[US$m]69,227 71,170 79,804 89,734 90,107 87,414 87,777
88,142 88,509 88,877 Real Growth Per Capita[%]-3.69 -5.30 -
0.60 -1.50 -0.90 -1.00 -0.06 -0.06 -0.06 -0.06 Nominal GDP Per
Capita[US$]19,847 18,958 19,749 20,660 19,420 17,690 16,690
15,741 14,847 14,003 PPP Adjusted GDP Per
Capita[US$]18,655 18,230 17,577 17,820 18,010 18,340 17,303
16,320 15,392 14,518 Consumer Price Inflation[%]2.70 2.90
3.10 3.60 3.30 3.00 2.70 2.43 2.19 1.97 Local Currency /
US$[LCU / US$]3.67 3.67 3.67 3.67 3.67 3.67 3.67 3.67 3.67
3.67 MOBILE PENETRATION OF POPULATIONMain
Lines[%]29.3%28.0%27.2%27.0%26.4%26.0%25.8%25.4%25.0
%26.3%Mobile
Subscriptions[%]53.6%64.2%73.3%85.3%94.0%98.1%100.3%1
01.1%101.1%100.5%
Prepaid[%]37.5%46.2%56.5%68.2%76.7%80.6%82.8%83.9%84.
2%84.0%
Postpaid[%]16.1%18.0%16.9%17.1%17.4%17.5%17.5%17.2%1
6.9%16.5%MOBILE SUBSCRIPTIONS BY NETWORK
OPERATORTotal Mobile Subscriptions[000]1,870 2,410 2,963
3,700 4,363 4,846 5,276 5,661 6,029 6,379 Etisalat[000]1,870
2,410 2,963 3,700 4,363 4,763 5,005 5,157 5,268 5,359
Operator 2[000]0 0 0 0 0 83 271 504 761 1,019 MOBILE
SUBSCRIPTIONS BY TYPE OF
PACKAGEPrepaid[000]130917352282296035573981435646955
0215331
Etisalat[000]1309173522822960355739094117424643404418
Operator
2[000]0000072239449680913Postpaid[000]56167568174080686
592096610081048
Etisalat[000]561675681740806854888911928941 Operator](https://image.slidesharecdn.com/sheet1unitedarabemiratesmobiledemand-june2005units2001a2002-221116052142-c9ff27bb/85/sheet1united-arab-emirates-mobile-demand-june-2005units2001a2002docx-1-320.jpg)
![2[000]0000011315580106CHURNAnnual Churn Rate
[%]2%2%2%2%2%8%7%6%5%4%By Operator
Etisalat[%]2%2%2%2%2%8%7%6%5%4% Operator
2[%]0%0%0%0%0%6%5%4%3%2%MOBILE SUBSCRIPTIONS
BY TECHNOLOGYTotal Mobile Subscriptions[000]1,870 2,410
2,963 3,700 4,363 4,846 5,276 5,661 6,029 6,379
Analog[000]0 0 0 0 0 0 0 0 0 0 Digital Trunking[000]
GSM[000]1,870 2,392 2,788 3,385 3,834 4,024 4,232 4,447
4,652 4,855 TDMA[000] CDMA One[000] HSCSD[000]
PAS[000] PHS[000] PDC[000] GSM/GPRS[000]0 18 175
300 442 581 679 766 860 944 GSM/EDGE[000]0 0 0 0 0 3 14
36 68 111 CDMA 1X[000] CDMA2000 (EV/3X)[000]
UMTS[000]0 0 0 15 87 238 350 413 448 469 USAGEAverage
Monthly Voice MOU[min]281 274 268 262 258 256 255 255
254 254 By Operator Etisalat[min]281 274 268 262 258 256
254 254 253 253 Operator 2[min]0 0 0 0 0 281 276 269 263
257 AVERAGE REVENUE PER SUBSCRIPTIONAggregate
Mobile[US$/month]52 42 41 41 41 40 39 38 37 36 By Operator
Etisalat[US$/month]52 42 41 41 41 40 39 38 37 36 Operator
2[US$/month]0 0 0 0 0 39 37 36 35 35 By Service Area
Voice[US$/month]51 42 40 40 39 38 36 35 34 32
Messaging[US$/month]1 1 1 1 1 1 2 2 2 2
Data/Internet[US$/month]0 0 0 0 1 1 1 1 1 1 TOTAL MOBILE
REVENUESBy Type of Application[US$m]1,027 1,088 1,331
1,642 1,967 2,202 2,345 2,467 2,580 2,692 Voice
Revenue[US$m]1,013 1,066 1,295 1,585 1,884 2,092 2,199
2,282 2,354 2,409 Activation Fees[US$m]22 24 23 14 12 12
10 9 6 6 Outgoing Voice [US$m]940 987 1,205 1,489 1,753
1,948 2,037 2,113 2,180 2,228 Incoming Voice [US$m]0 0 0 0
20 22 35 37 39 40 Voice VAS[US$m] In-Country
Roamers[US$m]51 54 67 82 98 110 117 123 129 135 Data
Revenue[US$m]13 22 37 57 84 110 147 185 226 283
Messaging[US$m]13 16 27 41 59 77 100 123 148 175 Mobile
Internet Access[US$m]1 5 10 16 25 33 47 62 77 108
Running head: INSERT TITLE HERE 1](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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- 1. Sheet1UNITED ARAB EMIRATES MOBILE DEMAND - June 2005UNITS2001A2002A2003A2004A2005E2006E2007E2008E 2009E2010EDEMOGRAPHICSPopulation[000]3,488 3,754 4,041 4,340 4,640 4,940 5,259 5,599 5,961 6,347 Nominal GDP[US$m]69,227 71,170 79,804 89,734 90,107 87,414 87,777 88,142 88,509 88,877 Real Growth Per Capita[%]-3.69 -5.30 - 0.60 -1.50 -0.90 -1.00 -0.06 -0.06 -0.06 -0.06 Nominal GDP Per Capita[US$]19,847 18,958 19,749 20,660 19,420 17,690 16,690 15,741 14,847 14,003 PPP Adjusted GDP Per Capita[US$]18,655 18,230 17,577 17,820 18,010 18,340 17,303 16,320 15,392 14,518 Consumer Price Inflation[%]2.70 2.90 3.10 3.60 3.30 3.00 2.70 2.43 2.19 1.97 Local Currency / US$[LCU / US$]3.67 3.67 3.67 3.67 3.67 3.67 3.67 3.67 3.67 3.67 MOBILE PENETRATION OF POPULATIONMain Lines[%]29.3%28.0%27.2%27.0%26.4%26.0%25.8%25.4%25.0 %26.3%Mobile Subscriptions[%]53.6%64.2%73.3%85.3%94.0%98.1%100.3%1 01.1%101.1%100.5% Prepaid[%]37.5%46.2%56.5%68.2%76.7%80.6%82.8%83.9%84. 2%84.0% Postpaid[%]16.1%18.0%16.9%17.1%17.4%17.5%17.5%17.2%1 6.9%16.5%MOBILE SUBSCRIPTIONS BY NETWORK OPERATORTotal Mobile Subscriptions[000]1,870 2,410 2,963 3,700 4,363 4,846 5,276 5,661 6,029 6,379 Etisalat[000]1,870 2,410 2,963 3,700 4,363 4,763 5,005 5,157 5,268 5,359 Operator 2[000]0 0 0 0 0 83 271 504 761 1,019 MOBILE SUBSCRIPTIONS BY TYPE OF PACKAGEPrepaid[000]130917352282296035573981435646955 0215331 Etisalat[000]1309173522822960355739094117424643404418 Operator 2[000]0000072239449680913Postpaid[000]56167568174080686 592096610081048 Etisalat[000]561675681740806854888911928941 Operator
- 2. 2[000]0000011315580106CHURNAnnual Churn Rate [%]2%2%2%2%2%8%7%6%5%4%By Operator Etisalat[%]2%2%2%2%2%8%7%6%5%4% Operator 2[%]0%0%0%0%0%6%5%4%3%2%MOBILE SUBSCRIPTIONS BY TECHNOLOGYTotal Mobile Subscriptions[000]1,870 2,410 2,963 3,700 4,363 4,846 5,276 5,661 6,029 6,379 Analog[000]0 0 0 0 0 0 0 0 0 0 Digital Trunking[000] GSM[000]1,870 2,392 2,788 3,385 3,834 4,024 4,232 4,447 4,652 4,855 TDMA[000] CDMA One[000] HSCSD[000] PAS[000] PHS[000] PDC[000] GSM/GPRS[000]0 18 175 300 442 581 679 766 860 944 GSM/EDGE[000]0 0 0 0 0 3 14 36 68 111 CDMA 1X[000] CDMA2000 (EV/3X)[000] UMTS[000]0 0 0 15 87 238 350 413 448 469 USAGEAverage Monthly Voice MOU[min]281 274 268 262 258 256 255 255 254 254 By Operator Etisalat[min]281 274 268 262 258 256 254 254 253 253 Operator 2[min]0 0 0 0 0 281 276 269 263 257 AVERAGE REVENUE PER SUBSCRIPTIONAggregate Mobile[US$/month]52 42 41 41 41 40 39 38 37 36 By Operator Etisalat[US$/month]52 42 41 41 41 40 39 38 37 36 Operator 2[US$/month]0 0 0 0 0 39 37 36 35 35 By Service Area Voice[US$/month]51 42 40 40 39 38 36 35 34 32 Messaging[US$/month]1 1 1 1 1 1 2 2 2 2 Data/Internet[US$/month]0 0 0 0 1 1 1 1 1 1 TOTAL MOBILE REVENUESBy Type of Application[US$m]1,027 1,088 1,331 1,642 1,967 2,202 2,345 2,467 2,580 2,692 Voice Revenue[US$m]1,013 1,066 1,295 1,585 1,884 2,092 2,199 2,282 2,354 2,409 Activation Fees[US$m]22 24 23 14 12 12 10 9 6 6 Outgoing Voice [US$m]940 987 1,205 1,489 1,753 1,948 2,037 2,113 2,180 2,228 Incoming Voice [US$m]0 0 0 0 20 22 35 37 39 40 Voice VAS[US$m] In-Country Roamers[US$m]51 54 67 82 98 110 117 123 129 135 Data Revenue[US$m]13 22 37 57 84 110 147 185 226 283 Messaging[US$m]13 16 27 41 59 77 100 123 148 175 Mobile Internet Access[US$m]1 5 10 16 25 33 47 62 77 108 Running head: INSERT TITLE HERE 1
- 3. INSERT TITLE HERE 3 Insert Title Here Insert Your Name Here Insert University Here Literature Review Include the literature review information here. Important Note: Students should refer to the information presented in the Unit I Study Guide and the Unit I Syllabus instructions to complete this section of the project. Delete this before you begin. References Include references here using hanging indentations. Remember to remove this information. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage. Correlation Datajob sitemicronsmean annual sick days per employee141126.573854855410677721185.5995710410114.581 28.5413771458159.531677179.55189.571951020662185227.562 38.55249425372667277.57287.55292.773029317.563294336634 3835853618378.55380.78390.58408.544128424.5943674477455
- 4. 10462.5124759484749855057513.5952865355544.910557.5956 2.57576.575886595660766149628563186428654106649677768 5.2106957706671867267736.56741.58758.56762877857810479 1058088811882768310284788576866.57877.56888.568938900. 599118929693779429958.57963.5997389876995.571007.57101 0.2121024810359 Simple Regression Datacontract #safety training expenditurelost time hours11161985.12102051500.003021461126.464016031294.104 09141445.56404371112.47505981720.816028011789.66601420 1837.52606822000.00607142271.866023361507.977022161542. 337013271544.907010251547.16709201567.55704651600.0070 1381452.698014111500.008014391500.008023881326.6090184 91351.259017401380.699016661423.579016721095.581002455 1132.881004031134.581008561163.4410020501170.921001271 1177.0510024291188.191008121323.291004051051.171101630 1054.0311023761071.751108611077.8611024361080.34110369 23.3712030957.1712076964.111201155976.641201273982.0612 01886985.69120630985.971204071000.001204881002.2712019 711035.4312062910.85130118912.351302912.3513042917.0213 092917.02130160922.02130149922.02130178950.00130160804. 2814056826.86140152832.871403836.33140196842.961401578 56.99140221883.8814062888.5714064893.36140143900.891401 39910.85140217759.86150182767.13150162777.24150159784.2 2150162785.69150145785.69150203792.35150135799.9015015 8800.62150182801.5815035746.02160163756.98160105759.521 60163700.93170131709.4017073715.6817055724.94170181612. 23180124613.7018055624.54180136635.191805642.791801796 44.15180150656.14180140669.8118096669.81180157678.60180 51689.55180153526.48185137537.35185195561.96185116564.1 6185196566.5018565568.95185194574.51185113579.32185855 83.63185190601.43185148607.2618554611.48185183393.77190 100405.9119092406.81190157426.7819040429.50190217450.56 190137456.9019091471.8119096474.76190203500.9219020550 3.17190188507.6419029507.77190189509.4319034513.6919056 514.0719049526.14190145336.5120011344.3920075345.692001
- 5. 55365.99200132377.93200168385.0520065391.7520038264.002 10186264.002109264.00210146265.40210123268.60210108275. 70210221283.16210201288.0021025288.0021072295.84210213 300.00210129305.27210195313.36210141244.0022075250.5722 033255.12220119256.89220205263.27220120263.60220110223. 64230208226.6523019230.00230211230.00230221231.5223023 233.29230133234.0023019234.0023084234.00230167234.00230 96234.00230200234.57230171236.6023018236.91230107237.70 230152243.24230120244.00230143218.0023524205.002401042 06.97240170215.37240115215.69240159215.99240125217.9924 0128218.00240105205.00245209169.58250190174.0925019917 9.06250110179.78250151192.61250219196.6525033201.362501 56202.71250161204.57250133205.00250131135.9926054145.59 26024152.6126048125.63270212128.0027091128.00270445.302 8018745.6928013450.002802451.23280656.8928013568.952801 32102.57280101102.5728034102.6428027103.5728086125.1828 0184731.362853570.9229014075.9029017397.97290131100.002 9042100.0029095100.0329017102.5629068102.5729019756.903 005956.90300268.0930011968.593001942.573202845.69320653 0.433301835.993309525.6934020126.603404026.9034019920.4 6360 Multiple Regression Datacontract #Frequency (Hz)Angle in DegreesChord LengthVelocity (Meters per Second)DisplacementDecibel142080000.180971.30.0026633712 6.201682100000.089371.30.00266337125.201714125000.03137 1.30.00266337125.9512336160000.186771.30.00266337127.591 2216200000.070571.30.00266337127.4611327250000.128171.3 0.00266337125.5711025315000.196671.30.00266337125.20192 0400000.135371.30.00266337123.061465500000.168871.30.002 66337121.301138630000.157871.30.00266337119.54114118000 00.055871.30.00266337117.15114391000000.151371.30.002663 37115.39123881250000.123871.30.00266337112.241184916000 00.127671.30.00266337108.721174050000.166655.50.00283081 126.416166663000.151555.50.00283081127.696167280000.122 955.50.00283081128.0862455100000.098555.50.00283081126.9 66403125000.172455.50.00283081126.086856160000.112755.5
- 32. 135160015.60.159939.60.0528487114.554132200015.60.196739 .60.0528487110.894101250015.60.118739.60.0528487110.2643 4315015.60.164439.60.0528487109.25427400015.60.135439.60. 0528487106.60486500015.60.191539.60.0528487106.22418463 0015.60.1939.60.0528487104.204 Independent t Test DataGroup A Prior Training ScoresGroup B Revised Training Scores88888176809689798990618788895680748586886986508 37293657779926575758754887081718279855386807564905879 80768089509561796185748375835478719066895792838668807 79754898084628670807081828750836579768564775583618691 856891708850856491738273847282788470817684 Paired Samples t Test DataEmployeePre-Exposure μg/dLPost- Exposure μg/dL166288310104121251515616167171781818919191021211 12222122323132323142626152727162828172929182929193131 20313121333322343423343424353525353826364027364228364 42936363038383138383239393339393441413541413641413742 42384242394343404343414444424646434646444848454848464 949475050485050495656 ANOVA One-Way DataConsulting Project Return on Investment (%)A = AirB = SoilC = WaterD = Training1110458123661355811669754108861011661297587559 89591076119664975566438655854131012312910711911714812 8 Running head: INSERT TITLE HERE 1 INSERT TITLE HERE 2
- 33. Insert Title Here Insert Your Name Here Insert University Here Sun Coast Remediation Course Project Guidance Background To help make a connection between business research and its use in the real world, this course will use an iterative course project. Throughout the term, you will serve as the health and safety director for Sun Coast Remediation (Sun Coast). Sun Coast provides remediation services to business and governmental organizations. Most of their contracts involve working within contamination sites where they remove toxic substances from soil and water. In addition to the toxicity of the air, water, and soil their employees come into contact with, the work environment is physically demanding and potentially contributory to injuries involving musculoskeletal systems, vision, and hearing. Sun Coast genuinely cares about the health, safety, and well-being of their 5,500 employees, but they are also concerned about worker compensation costs and potential long-term litigation from injuries and illness related to employment. Health and Safety Director Task Sun Coast hired you last month to replace the previous health and safety director, who left to pursue other opportunities. This is a critical position within the company because there are many health and safety-related issues due to the nature of the work. The former health and safety director was in the midst of analyzing these issues through the implementation of a research
- 34. project when she left the organization. Throughout the term, you will use your knowledge of research methods to bring the research project to fruition. You will conduct a literature review, develop research questions and hypotheses, create the research design, test data, interpret data, and present the findings. Each unit will accomplish one of these tasks. It has already been decided that the business problems will be best addressed using a quantitative research methodology. You will not collect any data for this project. The former health and safety director had already collected the data, which is provided for you in an Excel spreadsheet. Statistical Tools You will conduct the data analysis using Microsoft Excel Toolpak. View these links for information: https://support.office.com/en-us/article/load-the-analysis- toolpak-in-excel-6a63e598-cd6d-42e3-9317-6b40ba1a66b4 and https://www.excel-easy.com/data-analysis/analysis-toolpak.html Sun Coast Remediation Course Project Sections Since this is a quantitative research study, there are specific steps that should be followed. The following is a template that will help you develop your project. (It is also provided as a template in Unit VII.) Use this information to guide your completion of the course project. Table of Contents Include the table of contents here. There is a tool for creating a table of contents in the References tab of the Microsoft Word tool bar at the top of the screen. Remember to delete this text and the instructions from the previous page before you begin. Executive Summary
- 35. The executive summary will go here. The paragraphs are not indented, and it should be formatted like an abstract. The executive summary should be composed after the project is complete. It will be the final step in the project. Delete this text before you begin. Sun Coast Remediation Course Project Introduction Note: The following introduction should remain in the research project unchanged. Delete this note before you begin. Senior leadership at Sun Coast has identified several areas for concern that they believe could be solved using business research methods. The previous director was tasked with conducting research to help provide information to make decisions about these issues. Although data were collected, the project was never completed. Senior leadership is interested in seeing the project through to fruition. The following is the completion of that project and includes the statement of the problems, literature review, research objectives, research questions and hypotheses, research methodology, design, and methods, data analysis, findings, and recommendations. Statement of the Problems Note: The following statement of the problems should remain in the research project unchanged. Delete this note before you begin. Six business problems were identified: Particulate Matter (PM) There is a concern that job-site particle pollution is adversely impacting employee health. Although respirators are required in certain environments, PM varies in size depending on the project and job site. PM that is between 10 and 2.5 microns can float in the air for minutes to hours (e.g., asbestos, mold spores, pollen, cement dust, fly ash), while PM that is less than 2.5 microns can float in the air for hours to weeks (e.g. bacteria, viruses, oil smoke, smog, soot). Due to the smaller size of PM that is less than 2.5 microns, it is potentially more harmful than
- 36. PM that is between 10 and 2.5 since the conditions are more suitable for inhalation. PM that is less than 2.5 is also able to be inhaled into the deeper regions of the lungs, potentially causing more deleterious health effects. It would be helpful to understand if there is a relationship between PM size and employee health. PM air quality data have been collected from 103 job sites, which is recorded in microns. Data are also available for average annual sick days per employee per job- site. Safety Training Effectiveness Health and safety training is conducted for each new contract that is awarded to Sun Coast. Data for training expenditures and lost-time hours were collected from 223 contracts. It would be valuable to know if training has been successful in reducing lost-time hours and, if so, how to predict lost-time hours from training expenditures. Sound-Level Exposure Sun Coast’s contracts generally involve work in noisy environments due to a variety of heavy equipment being used for both remediation and the clients’ ongoing operations on the job sites. Standard ear-plugs are adequate to protect employee hearing if the decibel levels are less than 120 decibels (dB). For environments with noise levels exceeding 120 dB, more advanced and expensive hearing protection is required, such as earmuffs. Historical data have been collected from 1,503 contracts for several variables that are believed to contribute to excessive dB levels. It would be important if these data could be used to predict the dB levels of work environments before placing employees on-site for future contracts. This would help the safety department plan for procurement of appropriate ear protection for employees. New Employee Training All new Sun Coast employees participate in general health and safety training. The training program was revamped and implemented six months ago. Upon completion of the training programs, the employees are tested on their knowledge. Test
- 37. data are available for two groups: Group A employees who participated in the prior training program and Group B employees who participated in the revised training program. It is necessary to know if the revised training program is more effective than the prior training program. Lead Exposure Employees working on job sites to remediate lead must be monitored. Lead levels in blood are measured as micrograms of lead per deciliter of blood (μg/dL). A baseline blood test is taken pre-exposure and postexposure at the conclusion of the remediation. Data are available for 49 employees who recently concluded a 2-year lead remediation project. It is necessary to determine if blood lead levels have increased. Return on Investment Sun Coast offers four lines of service to their customers, including air monitoring, soil remediation, water reclamation, and health and safety training. Sun Coast would like to know if each line of service offers the same return on investment. Return on investment data are available for air monitoring, soil remediation, water reclamation, and health and safety training projects. If return on investment is not the same for all lines of service, it would be helpful to know where differences exist. Literature Review After providing a brief introduction to this section, students should include the literature review information here. Important Note: Students should refer to the information presented in the Unit I Study Guide and the Unit I Syllabus instructions to complete this section of the project. Delete this before you begin. Research Objectives After providing a brief introduction to this section, students should include research objectives here. Students should compose short, direct statements about the objectives of the study. Research objectives should relate to the problems that have been identified above, and there should be one objective for each problem as shown in the example below. Important
- 38. Note: Students should refer to the information presented in the Unit II Syllabus instructions to complete this section of the project. Delete this before you begin. Example: RO1: Determine if a person’s height is related to weight. RO2: RO3: RO4: RO5: RO6: Research Questions and Hypotheses After providing a brief introduction to this section, students should state the research questions and hypotheses. Each research objective should have a corresponding research question and a null and alternative hypothesis as shown in the example below. In total, there should be six research questions and twelve hypotheses. Important Note: Students should refer to the information presented in the Unit II Study Guide and the Unit II Syllabus instructions to complete this section of the project. Delete this before you begin. Example: RQ1: Is there a relationship between height and weight? H01: There is no statistically significant relationship between height and weight. HA1: There is a statistically significant relationship between height and weight. RQ2: H02: HA2: RQ3: H03: HA3: RQ4:
- 39. H04: HA4: RQ5: H05: HA5: RQ6: H06: HA6: Research Methodology, Design, and Methods After providing a brief introduction to this section, students should detail the research design they have selected and why it is an appropriate research approach for addressing the business problems. Use the following subheadings to include all required information. Important Note: Students should refer to the information presented in the Unit III Study Guide and the Unit III Syllabus instructions to complete this section of the project. Delete this before you begin. Research Methodology Explain the research methodology chosen for this research project and provide rationale for why it is appropriate given the problems. Research Design Students should explain whether the research design is exploratory, causal, or descriptive. Provide rationale for the choice. Research Methods Students should describe the research methods used for this research study based on the research methodology, research design, and research questions, and provide a rationale as to why they were chosen. They might include a combination of experimentation, descriptive statistics, correlation, and causal- comparative methods. Data Collection Methods Students should specify how the data were most likely collected
- 40. to test the hypotheses. Data collection methods include, but are not limited to, survey, observation, and records analysis. Sampling Design Students should briefly describe the type of sampling design that was most likely used for the data that were collected. Choices include, but are not limited to, random sample, convenience sample, etc. Explain your rationale for your sampling design selection(s). Data Analysis Procedures Students should specify the statistical procedures used to test each set of hypotheses from among correlation, regression, t test, and ANOVA. They should explain why each procedure was the most appropriate choice. Example: Correlation is the preferred procedure to use to test the RQ1 hypotheses since the interest is whether a relationship exists between an independent variable (IV) and dependent variable (DV). Correlation will indicate if there is a relationship between height (IV) and weight (DV), the strength of the relationship, and the direction of the relationship. Data Analysis: Descriptive Statistics and Assumption Testing After providing a brief introduction to this section, students should provide the Excel Toolpak results of their descriptive analyses. Frequency tables, histograms, and descriptive statistics tables should be cut and pasted from Excel directly into the final project document. Important Note: Students should refer to the information presented in the Unit IV Study Guide and the Unit IV Syllabus instructions to complete this section of the project. Delete this before you begin. Correlation: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.
- 41. Simple Regression: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin. Multiple Regression: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin. Independent Samples t Test: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin. Dependent Samples (Paired-Samples) t Test: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin. ANOVA: Descriptive Statistics and Assumption Testing Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an
- 42. explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin Data Analysis: Hypothesis Testing After providing a brief introduction to this section, students should provide the Excel Toolpak results of their hypothesis testing. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, the students should display and discuss the predictive regression equations. Important Note: Students should refer to the information presented in the Units V and VI Study Guides and the Units V and VI Syllabus instructions to complete this section of the project. Delete this before you begin. Correlation: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin. Simple Regression: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation. Delete these statements before you begin. Multiple Regression: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level,
- 43. ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation. Independent Samples t Test: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin. Dependent Samples (Paired Samples) t Test: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin. ANOVA: Hypothesis Testing Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin. Findings After providing a brief introduction to this section, students should discuss the findings in the context of Sun Coast’s problems and the associated research objectives and research questions. Important Note: Students should refer to the information presented in the Unit VII Study Guide and the Unit VII Syllabus instructions to complete this section of the project. Restate each research objective, and discuss them in the context of your hypothesis testing results. The following are some things to consider. What answers did the analysis provide to your research questions? What do those answers tell you? What are the implications of those answers? Delete these statements before you begin. Example:
- 44. RO1: Determine if a person’s height is related to weight. The results of the statistical testing showed that a person’s height is related to their weight. It is a relatively strong and positive relationship between height and weight. We would, therefore, expect to see in our population taller people having a greater weight relative to those of shorter people. This determination suggests restrictions on industrial equipment should be stated in maximum pounds allowed rather than maximum number of people allowed. RO2: RO3: RO4: RO5: RO6: Recommendations After providing a brief introduction to this section, students should include recommendations here in paragraph form. This section should be your professional thoughts based upon the results of the hypothesis testing. You are the researcher, and Sun Coast's leadership team is relying on you to make evidence- based recommendations. Delete these statements before you begin. References Include references here using hanging indentations, and delete these statements and example reference. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage. Sheet1KUWAIT MOBILE DEMAND - June 2005UNITS2001A2002A2003A2004A2005E2006E2007E2008E 2009E2010EDEMOGRAPHICSPopulation[000]2,243 2,363 2,520 2,650 2,740 2,840 2,897 2,955 3,014 3,074 Nominal GDP[US$m]34,062 35,180 41,749 48,967 53,871 N/AN/AN/AN/AN/AReal Growth Per Capita[%]-4.88 -6.50 0.50
- 45. -2.50 -2.40 N/AN/AN/AN/AN/ANominal GDP Per Capita[US$]15,186 14,885 16,560 18,460 19,640 17,960 N/AN/AN/AN/APPP Adjusted GDP Per Capita[US$]24,755 23,980 20,830 18,860 16,530 15,220 N/AN/AN/AN/AConsumer Price Inflation[%]1.70 1.38 0.97 1.00 0.80 0.60 N/AN/AN/AN/ALocal Currency / US$[LCU / US$]0.31 0.30 0.30 0.29 0.30 0.30 0.30 0.30 0.30 0.30 MOBILE PENETRATION OF POPULATIONMain Lines[%]21.8%21.7%19.3%19.0%19.5%19.8%19.9%19.9%19.9 %19.9%Mobile Subscriptions[%]41.5%55.3%67.3%79.6%91.0%95.0%97.0%97. 5%98.0%98.5% Prepaid[%]25.1%40.8%52.9%62.4%72.5%76.4%78.4%79.0%79. 6%80.3% Postpaid[%]16.4%14.5%14.4%17.2%18.5%18.6%18.6%18.5%1 8.4%18.2%MOBILE SUBSCRIPTIONS BY NETWORK OPERATORTotal Mobile Subscriptions[000]930 1,306 1,695 2,109 2,493 2,698 2,810 2,881 2,954 3,028 MTC Kuwait[000]542 691 915 1,262 1,446 1,538 1,574 1,613 1,654 1,681 Wataniya Kuwait[000]388 615 780 847 1,047 1,160 1,236 1,268 1,300 1,347 MOBILE SUBSCRIPTIONS BY TYPE OF PACKAGEPrepaid[000]562964133216541988216922712335240 02467 MTC Kuwait[000]197387625884103111091141117712131237 Wataniya Kuwait[000]36557770777195710611130115811871230Postpaid[ 000]368342363455506529539546553561 MTC Kuwait[000]345304290379415429433437441443 Wataniya Kuwait[000]233873769099106109112117MOBILE SUBSCRIPTIONS BY TECHNOLOGYTotal Mobile Subscriptions[000]930 1,306 1,695 2,109 2,493 2,698 2,810 2,881 2,954 3,028 Analog[000] Digital Trunking[000] GSM[000]930 1,304 1,668 2,064 2,319 2,455 2,501 2,535 2,555 2,604 TDMA[000] CDMA One[000] HSCSD[000] PAS[000] PHS[000] PDC[000] GSM/GPRS[000]0 2 27 42
- 46. 125 108 84 72 59 61 GSM/EDGE[000]0 0 0 3 50 108 140 173 207 212 CDMA 1X[000] CDMA2000 (EV/3X)[000] UMTS[000]0 0 0 27 84 101 133 151 USAGEAverage Monthly Voice MOU[min]302 316 310 298 299 300 303 306 309 312 AVERAGE REVENUE PER SUBSCRIPTIONAggregate Mobile[US$/month]59 49 53 51 43 43 42 42 42 41 TOTAL MOBILE REVENUESTotal Mobile Service Revenues[US$m]540 660 956 1,162 1,193 1,336 1,404 1,436 1,457 1,479 Sheet1SAUDI ARABIA MOBILE DEMAND - June 2005UNITS2001A2002A2003A2004A2005E2006E2007E2008E 2009E2010EDEMOGRAPHICSPopulation[000]22,830 23,520 24,220 24,950 25,700 26,470 27,260 28,080 28,880 29,886 Nominal GDP[US$m]183,257 188,803 214,748 236,828 269,619 263,977 260,509 266,183 278,823 299,757 Real Growth Per Capita[%]-2.45 -2.81 4.00 2.00 1.60 -0.50 -0.50 -0.70 -0.60 - 0.70 Nominal GDP Per Capita[US$]8,027 8,027 8,867 9,490 10,490 9,970 9,560 9,480 9,660 10,030 PPP Adjusted GDP Per Capita[US$]10,246 10,122 10,728 11,200 11,760 12,090 12,330 12,510 12,730 13,028 Consumer Price Inflation[%]-1.10 0.20 0.61 0.40 0.60 0.50 0.50 0.60 0.60 1.58 Local Currency / US$[LCU / US$]3.75 3.75 3.75 3.75 3.75 3.75 3.75 3.75 3.75 3.75 MOBILE PENETRATION OF POPULATIONMain Lines[%]14.8%15.2%15.2%15.1%14.9%14.7%14.5%14.3%14.3 %14.2%Mobile Subscriptions[%]14.0%21.3%30.2%36.1%44.9%51.9%57.2%61. 7%65.9%69.1% Prepaid[%]1.8%8.5%15.7%21.3%28.3%33.3%36.8%40.0%43.5 %46.3% Postpaid[%]12.2%12.8%14.5%14.7%16.6%18.6%20.3%21.7%2 2.4%22.7%MOBILE SUBSCRIPTIONS BY NETWORK OPERATORTotal Mobile Subscriptions[000]3,195 5,000 7,306 9,000 11,539 13,738 15,579 17,325 19,032 20,636 STC[000]3,195 5,000 7,306 9,000 10,431 11,374 11,910 12,037 12,111 12,230 Etisalat[000]0 0 0 0 985 1,967 3,000 4,338
- 47. 5,737 7,044 Operator 3[000]0 0 0 0 123 397 669 950 1,184 1,361 MOBILE SUBSCRIPTIONS BY TYPE OF PACKAGEPrepaid[000]412 2,000 3,799 5,324 7,274 8,809 10,041 11,232 12,561 13,851 STC[000]412 2,000 3,799 5,324 6,683 7,579 8,089 8,209 8,279 8,393 Etisalat[000]0 0 0 0 591 1,229 1,952 3,023 4,282 5,458 Operator 3[000]0 0 0 0 0 0 0 0 0 0 Postpaid[000]2,783 3,000 3,507 3,676 4,265 4,929 5,539 6,093 6,471 6,785 STC[000]2,783 3,000 3,507 3,676 3,748 3,795 3,822 3,828 3,832 3,838 Etisalat[000]0 0 0 0 394 738 1,047 1,315 1,455 1,586 Operator 3[000]0 0 0 0 123 397 669 950 1,184 1,361 CHURNAnnual Churn Rate [%]0%2%2%2%6%8%10%12%13%14%By Operator STC[%]0%2%2%2%6%8%11%13%14%14% Etisalat[%]0%0%0%0%1%3%7%10%12%14% Operator 3[%]0%0%0%0%1%2%5%7%9%10%MOBILE SUBSCRIPTIONS BY TECHNOLOGYTotal Mobile Subscriptions[000]3,195 5,000 7,306 9,000 11,539 13,738 15,579 17,325 19,032 20,636 Analog[000]0 0 0 0 0 0 0 0 0 0 Digital Trunking[000]0 0 0 0 123 397 669 950 1,184 1,361 GSM[000]3,195 4,995 7,269 8,820 11,131 12,774 14,135 15,180 16,197 17,424 TDMA[000] CDMA One[000] HSCSD[000] PAS[000] PHS[000] PDC[000] GSM/GPRS[000]0 5 37 180 285 467 596 704 714 694 GSM/EDGE[000]0 0 0 0 0 67 119 328 625 771 CDMA 1X[000] CDMA2000 (EV/3X)[000] UMTS[000]0 0 0 0 0 33 60 164 312 385 USAGEAverage Monthly Voice MOU[min]281 234 211 206 206 208 207 205 202 198 By Operator STC[min]281 234 211 206 200 196 190 185 179 174 Etisalat[min]0 0 0 248 240 235 228 222 215 208 Operator 3[min]000227.0268220.215996215.81167608209.337325797620 3.0572060237196.965489843191.0565251477AVERAGE REVENUE PER SUBSCRIPTIONAggregate Mobile[US$/month]76 70 56 48 42 38 35 34 32 31 By Operator STC[US$/month]76 70 56 48 42 37 35 33 32 31 Etisalat[US$/month]0 0 0 0 44 39 36 34 33 32 Operator 3[US$/month]0 0 0 0 43 38 36 34 33 32 By Service Area
- 48. Voice[US$/month]73 67 53 45 39 34 32 30 29 28 Messaging[US$/month]3 3 3 3 3 3 3 3 3 3 Data/Internet[US$/month]0 0 0 0 0 0 0 1 1 1 TOTAL MOBILE REVENUESBy Type of Application[US$m]2,133 3,455 4,151 4,675 5,136 5,703 6,221 6,645 7,061 7,484 Voice Revenue[US$m]2,044 3,313 3,937 4,376 4,751 5,190 5,605 5,934 6,270 6,646 Activation Fees[US$m]154 138 91 79 56 46 31 30 14 7 Outgoing Voice [US$m]1,784 3,002 3,638 4,063 4,386 4,802 5,170 5,472 5,797 6,152 Incoming Voice [US$m]0 0 0 0 51 57 93 100 106 112 Voice VAS[US$m] In- Country Roamers[US$m]107 173 208 234 257 285 311 332 353 374 Data Revenue[US$m]89 142 214 299 385 513 616 711 791 838 Messaging[US$m]88 138 208 281 349 456 529 598 650 689 Mobile Internet Access[US$m]1 4 6 19 36 57 87 113 141 150 Sheet1QATAR MOBILE DEMAND - June 2005UNITS2001A2002A2003A2004A2005E2006E2007E2008E 2009E2010EDEMOGRAPHICSPopulation[000]608 640 700 740 800 860 912 957 995 1,035 Nominal GDP[US$m]17,742 17,881 19,458 28,451 33,620 34,055 N/AN/AN/AN/AReal Growth Per Capita[%]5.38 2.00 4.00 2.40 3.50 N/AN/AN/AN/AN/ANominal GDP Per Capita[US$]29,180 28,010 27,960 38,290 42,210 39,590 N/AN/AN/AN/APPP Adjusted GDP Per Capita[US$]37,067 38,500 37,160 38,630 40,070 41,460 N/AN/AN/AN/AConsumer Price Inflation[%]1.36 1.01 2.27 6.80 7.30 6.20 N/AN/AN/AN/ALocal Currency / US$[LCU / US$]3.64 3.64 3.64 3.64 3.64 3.64 N/AN/AN/AN/AMOBILE PENETRATION OF POPULATIONMain Lines[%]27.5%27.6%26.2%26.0%25.3%24.7%24.5%24.5%24.7 %24.9%Mobile Subscriptions[%]29.3%41.7%56.0%74.0%79.1%82.0%84.2%85. 0%85.7%86.4% Prepaid[%]10.2%20.4%35.8%53.7%59.8%63.0%64.6%65.1%65. 7%66.5% Postpaid[%]19.0%21.3%20.2%20.3%19.3%19.0%19.6%19.9%2
- 49. 0.0%19.9%MOBILE SUBSCRIPTIONS BY NETWORK OPERATORTotal Mobile Subscriptions[000]178 267 392 548 633 705 768 813 853 895 Qtel[000]178 267 392 548 633 686 698 698 695 690 Operator 2[000]0 0 0 0 0 19 69 115 158 205 MOBILE SUBSCRIPTIONS BY TYPE OF PACKAGEPrepaid[000]62131251397478542589623654689 Qtel[000]62131251397478529541541537533 Operator 2[000]00000134882116156Postpaid[000]1161361411501551641 79190199206 Qtel[000]116136141150155157157157157157 Operator 2[000]00000722334249CHURNAnnual Churn Rate [%]1%1%1%1%4%9%11%10%10%10%By Operator Qtel[%]1%1%1%1%4%9%11%10%10%10% Operator 2[%]0%0%0%0%0%7%9%9%10%10%MOBILE SUBSCRIPTIONS BY TECHNOLOGY178 267 392 548 633 705 768 813 853 895 Analog[000]0 0 0 0 0 0 0 0 0 0 Digital Trunking[000] GSM[000]178 267 389 520 595 655 691 712 733 755 TDMA[000] CDMA One[000] HSCSD[000] PAS[000] PHS[000] PDC[000] GSM/GPRS[000]0 0 3 27 38 49 61 73 85 98 GSM/EDGE[000] CDMA 1X[000] CDMA2000 (EV/3X)[000] UMTS[000]0 0 0 0 0 1 15 28 35 41 USAGEAverage Monthly Voice MOU[min]682 642 597 561 538 522 508 498 490 483 By Operator Qtel[min]682 642 597 561 538 521 505 494 485 478 Operator 2[min]682 642 0 0 0 558 536 522 510 499 AVERAGE REVENUE PER SUBSCRIPTIONAggregate Mobile[US$/month]58 84 77 69 63 57 51 48 46 45 By Operator Qtel[US$/month]58 84 77 69 63 57 51 47 45 44 Operator 2[US$/month]0 0 0 0 0 62 56 52 50 49 By Service Area Voice[US$/month]56 80 72 64 58 51 46 42 39 36 Messaging[US$/month]2 3 3 3 4 4 4 4 4 4 Data/Internet[US$/month]0 1 1 1 2 2 2 2 3 5 TOTAL MOBILE REVENUESBy Type of Application[US$m]103 223 303 390 449 456 455 454 457 472 Voice Revenue[US$m]99 213 286 363 411 410 405 395 389 382 Activation Fees[US$m]5 9 10 12 11 9 8 5 5 5 Outgoing Voice [US$m]88 189 252 320 364 360 354 346 338 328 Incoming Voice [US$m]0 0 0 0 0 5 7 9 9 12 Voice VAS[US$m] In-Country Roamers[US$m]6 16 24 31 36
- 50. 36 36 34 37 38 Data Revenue[US$m]4 10 17 27 38 46 50 59 69 90 Messaging[US$m]4 8 12 20 27 32 32 36 37 42 Mobile Internet Access[US$m]0258111418233247