Business Data Analysis and Interpretation
Added on - 28 May 2020
Showing pages 1 to 4 of 16 pages
Running Head: BUSINESS DATA ANALYSIS AND INTERPRETATION1Business Data Analysis and InterpretationStudent’s nameCourse nameCourse numberInstructor’s name
BUSINESS DATA ANALYSIS AND INTERPRETATION2INTRODUCTIONJCU stands for James Cook University which is one of the oldest university in Queensland,Australia. The university offers both research and teaching to its students. The university has 7different academic divisions. The divisions are; Public Health, Medicine & Dentistry, Medical &Veterinary Science, Law & Governance, Business, Health Science and Technology &Engineering. The Vice Chancellor of the university is interested in developing a gender neutralworkplace and lowering the carbon footprint of James Cook University, that is, having a workplace that is of equal opportunity for all employees at all levels. Equality in regards toremuneration (pay) and retention (time employed with JCU) are part of the mix. Staff makingtransport decisions that are environmentally sound is of special interest to the Vice Chancellor.We are provided with dataset and according to the dataset, the university has 4 campuses. Thereare hundreds of employees working at the university. Majority of the employees have worked forbetween 3 to 6 years with most of them being male employees.
BUSINESS DATA ANALYSIS AND INTERPRETATION3Results and findingsDescriptive StatisticsTable1: Descriptive statisticsAnnual salary ('000 dollars)Mean107.91Standard Error3.81Median113.00Mode60.00Standard Deviation38.10Sample Variance1451.44Kurtosis-1.28Skewness-0.17Range125.00Minimum41.00Maximum166.00Sum10791Count100As can be seen from table 1 above, the average annual salary of the sample to the JCU staffpopulation is $107,910. The standard deviation of the sample is 38.10; this shows that the data isnot widely distributed[ CITATION Tro062 \l 1033 ]. Further, looking at the kurtosis and skewnesswe can conclude that the data is approximately normal.There are no outliers in the sample data for the variable “Salary”. This can be confirmed from theboxplot provided below.
BUSINESS DATA ANALYSIS AND INTERPRETATION4Figure1: Box plot for the annual salaryCoefficientofvariation(CV)=σμ∗100%=38.10107.91∗100%=35.31%The coefficient of variation (CV) was found to be 35.31%, this shows that the rate ofdispersion of the annual salary for the sample JCU staff is low.Analysis of length of employmentAs can be seen in the table below, majority of staff (45%, n = 45) had stayed in theuniversity for more than 3 years but less than or equal to 6 years. They were followed bythose who have been at the university more than 10 years (29%, n = 29). Minority ofparticipants (1%, n = 1) were less than or equal to 3 years old at the universityTable2: Length of stayLength of stayFrequencyPercent≤ 3 years11%> 3 years and ≤ 6 years4545%> 6 years and ≤ 10 years2525%