Statistics

Statistics Pg. 2
Introduction
    American Intellectual Union has undertaken a study to assess job satisfaction of employees. The job satisfaction is measured through four parameters ¨C overall job satisfaction, intrinsic job satisfaction, extrinsic job satisfaction and benefits. In order to assess the satisfaction a sample of 29 employees has been chosen. Each employee has been asked to rate his satisfaction for the four parameters on a scale of 1 to 7, with 1 indicating least satisfaction and 7 indicating most satisfaction. Certain basic details of each employee have also been recorded so that a profile of satisfied employees and that of unsatisfied employees could be prepared.
    The four data sets of the job satisfaction parameters are quantitative data sets. Whereas the data sets for gender, age, department, position and tenure are qualitative data sets. Quantitative data sets are numerical values that answer the questions how much or how many. Qualitative data sets are labels used to identify attributes. (Anderson, Sweeney, Williams, 2001) For the selected quantitative data set, measures of central tendency (mean, median, and mode) and variability (standard deviation and variance) will be calculated. Measures of central tendency provide a value that is representative of the entire data set. Measures of variability indicate how adequately the measure of central tendency represents the data set. If the measure of variability is large, then the measure of central tendency does not adequately represent the data set. (Anderson, Sweeney, Williams, 2001) For the selected qualitative variable only the mode will be calculated. Because qualitative variables represent attributes and not quantities, one cannot calculate mean, median, st ...
Word (s) : 908
Pages (s) : 4
View (s) : 715
Rank : 0
   
Report this paper
Please login to view the full paper