Statistics Assignment (Solved)

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Table of ContentsINTRODUCTION................................................................................................................................3MAIN REPORT...................................................................................................................................3Aims and objectives of the study......................................................................................................3Significance of the study..................................................................................................................4Hypothesis formulation....................................................................................................................4Data collection..................................................................................................................................5Hypothesis testing: Data analysis and interpretation........................................................................6CONCLUSION AND RECOMMENDATION..................................................................................10REFERENCES...................................................................................................................................11APPENDIX........................................................................................................................................12Appendix: 1 Regression analysis between operating revenue and availability of seats & Loadfactors.............................................................................................................................................12Appendix: 2 Regression analysis between net income of Aviation sector and availability of seats& Load factor..................................................................................................................................12Appendix 3 ANOVA and correlation for testing association between operating expenses andprofitability of the Airline industry.................................................................................................13Appendix: 4 Regression analysis between revenue of Aviation sector and passenger, cargo andaircraft handling and & employees ASM production capabilities..................................................14Appendix: 5 Regression analysis between net profitability of Aviation sector and passenger,cargo and aircraft handling and & employees ASM production capabilities.................................15Appendix: 6 Regression for testing the relationship between revenue per RPM and ASM andAirline industrial profitability.........................................................................................................16Appendix: 7 Description statistics at 95% confidence interval......................................................172
INTRODUCTIONIn the modern corporate world, companies have large quantum of data available as theycarry out operations at multinational level. Therefore, analytics have to use various statisticalsoftware packages so as to drawn a meaningful findings from the huge quantity of data. Statisticsrefers to the process of gathering and acquiring large set of data to identify the facts, figures andanalyse the real situations so as to make meaningful decisions. In other words, it can be consideredas a process of collecting, organizing, finding and interpreting gathered data in order to take top-quality decisions and resolve problems. SPSS (statistical package for social science) is the mostoften used software that is utilized by analysts to apply different type of statistical tools andtechniques like descriptive statistics, regression, correlation, ANOVA (analysis of variance) andmany others (Knapp, 2017). The software gains wider importance across all over the world to testthe hypothesis framed for making quantitative researches. Investigators use SPSS to draw valid andmeaningful results of the huge quantum of data gathered for the study either by primary orsecondary researches and thereby interpret the same for making viable decisions (Ogata, 2017).US airline industry delivers quick and excellent transport facilities to the million of peopleto visit different places across the world. With the changing period, deregulation, merger andacquisition, integration, restructuring and others brought significant changes in the Aviationindustry. There are number of companies operate in the sector such as US Airways, VirginAmerica, Alaska, Delta, Continental, Frontier, AirTran, JetBlue, Spirit, Hawaiian and many others.The present project is targeted at applying various statistical tools to identify t of the performance ofthe US Aviation industry by gathering data about different factors like organizational efficiency,employee productivity and fair prices charged by the companies in the sector.MAIN REPORTAims and objectives of the studyAim:“To analyse the impact of service quality on the performance of US Aviation industry”Objectives:To analyze the effect of organizational efficiencyon the performance of Aviation industryTo investigate the impact of staff productivity on organizational performance in AviationsectorTo examine the relationship between airline fare charges on the overall profitability of theAirline industry3
Significance of the studyWith the help of this study, airlines companies can get benefits through identifying numberof ways that how they can improve their performance and ensure long-run sustainability. It isbecause; the report will identify the impact of various factors upon the revenues and profitability ofthe US Aviation industry, as a result, they can find the elements which positively influence theperformance of the sector. Thus, with the help of this, companies will be able to make betterdecisions and frame policies so as to perform excellent in forthcoming period.Hypothesis formulationIn the quantitative research framework, investigators design hypothesis on the basis of thethe objectives of the study. It is just a statement or proposed explanation that is designed byresearchers to speculate the outcome of experiment performed. There are two opposing hypothesis,that are null and alternative hypothesis (Georg and Mallery, 2016). First assumes no association orrelationship among the variables selected for the study, however, alternative is just opposite thatbelieves direct association among the dependent and independent variables.With reference to the current area of investigation, hypothesis based upon the objectives of thestudy is designed here as under:Objective: 1Independent variableDependent variableAvailability of seatsRevenuesLoad factorsProfitabilityTotal operating expendituresHypothesis 1:Null Hypothesis (H0): There is no significant relationship between organization revenue andavailability of seats & Load factors.Alternative hypothesis (H1): There is a significant relationship between organizationrevenue and availability of seats & Load factors.Hypothesis 2:Null hypothesis (H0): There is no significant relationship between net profitability of theairline and availability of seats & Load factors.Alternative hypothesis (H1): There is a significant relationship between net profitability ofthe airline and availability of seats & Load factors.Hypothesis 3:4
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