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Analysis of Categorical and Metric Variables

Running head: ASSIGNMENT 2 - ANALYSIS OF DATA - PART 1 1 Assignment 2: Analysis of data - Part 1 ASSIGNMENT 2 - ANALYSIS OF DATA - PART 1 2 Assignment 2: Analysis of data - Part 1 Question 1 - Summary of a categorical variable The distribution for the number of people who enjoy their work, taken from a sample of 1500 Australian Public Service Sector employees is shown in Figure 1. 58% of the sampled replies Agreed with the statement, with 26% of responses Strongly agreeing. The least popular replies were strongly disagree and disagree who had a combined total of 6%. Question 1 - Summary of a categorical variable - SPSS Output I enjoy my work ... Frequency Percent Valid Percent Cumulative Percent Valid Strongly disagree 20 1.3 1.3 1.3 Disagree 66 4.4 4.4 5.7 Neither agree nor disagree 151 10.1 10. 15.8 Agree 870 58.0 58.0 73.8 Strongly Agree 393 26.2 26.2 100.0 Total 1500 100.0 100.0 1,000 800 600 Frequency 400 200 0 Strongly disagree Disagree Neither agree nor disagree Agree Strongly Agree I enjoy my work ... Figure 1 - I enjoy my work Question 2 - Summary of a metric variable The 'levels of engagement with your job' distribution taken from a sample of 1458 Australian public service employees is shown in Figure 2. The distribution appears negatively skewed, ASSIGNMENT 2 - ANALYSIS OF DATA - PART 1 3 with 50% of results at 16 on the scale (s=3.906). The level of engagement with your jobs results sat between 13 and 18 on the scale. 9 or less on the scale was only encountered in 10$ of responses. Question 2 - Summary of a metric variable - SPSS Output 250 Mean = 14.90 Std. Dev. = 3.906 N =1,458 200 150 Frequency 100 50 0 -5.00 00 5.00 10.00 15.00 20.00 25.00 Level of Engagement with your Job [scale of 0 - 20] Figure 2 - Level of Engagement with your job (Scale of 0-20)