The paper "JOBINC: Quantitative Analysis" is a great example of an assignment on business. Quantitative analysis refers to a statistical technique that deals with numerical data in the estimation of model parameters (Day & Underwood 1986). This study will seek to perform various analyses, stating the underlying assumptions and interpreting the results obtained from the SPSS output. The variable understudy will be JOBINC – Applicant’ s monthly income from the current job. a) The graphical representation of JOBINC was best shown using a histogram which is a pictorial representation of data, a histogram is very useful in displaying continuous and categorical data variables and it shows the number of people in each category.
From the graph, it is evident that the monthly income for the current job varies at different frequencies and the graph is not normally distributed. JOBINC histogram clearly indicates a sharp drop below 20 and therefore this implies that most applicants earn a monthly income of between 0-1,000 while only a few applicants earn a monthly income of above 1,000. It is therefore worth noting that most KDS customers earn very little from their current jobs.
b) Descriptive statistics is a very crucial aspect of quantitative data analysis as it helps us to organize, summarise and present data in a convenient and informative manner. They are also used to describe the basic characteristics of data collected from a study in different ways (Holcomb 1998). Descriptive statistics include the measures of central tendency, measures of dispersion, variance, skewness, and kurtosis. Statistics Jobinc N Valid 106 Missing 7 Mean 994.8868 Std. The error of Mean 58.00976 Median 800.0000 Mode 600.00a Std. Deviation 597.24699 Variance 356703.968 Skewness 2.085 Std.
The error of Skewness. 235 Kurtosis 6.175 Std. The error of Kurtosis. 465 Range 3700.00 Minimum 300.00 Maximum 4000.00 Sum 105458.00 a. Multiple modes exist. The smallest value is shown Measures of central tendency These refers to the single numbers that are used to summarise a given set of data in a distribution. There are three measures of central tendency namely mean, median, and mode.
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