# Results and Discussion

Topics: Standard deviation, Arithmetic mean, Standard score Pages: 3 (951 words) Published: April 8, 2012
RESULTS AND DISCUSSION
In this study the researcher aimed to study the impact of organizational climate and stress on mental health among employees working in industries in Goa. It is not enough to gather data, analysis of data is very important. It is only through statistical analysis that the hidden treasure of information in form of the raw scores/information comes to the fore and the true value of research is realized. In this chapter the researcher analyses the data collected on the basis of the stated hypotheses, and tests whether the formulated hypotheses are valid. The results and analyses of each hypotheses are explained with the help of tables and graphs. H1: There will be a significant difference in the levels of stress among males and females employees working in industries. Table 4.1.1.Indicating the mean, standard deviation and the Z- score for stress among males and females employees working in industries. Variables| N| Mean| Standard Deviation| Z- score|

Males| 100| 139.33| 18.276| 2.525|
Females| 100| 146.08| 19.514| |

Table 4.1.1. Illustrates the mean, standard deviation and the Z-score for stress of 100 males and 100 females (N=200). As shown in the table the mean score for stress among males and females is139.33 and 146.08 respectively, with a standard deviation of 18.276 and 19.514 respectively. Using the above data the Z- test was computed to test the significance of the difference between the two means. The Z score was 2.525 which shows a significant difference between the two means, at a 0.05 level of significance. The standard deviation in case of females 19.514 is which is lower than those males of 18.276.

The data is graphically presented in figure 4.1.1

The Z score shows that there is a significant difference in the mean scores of males and females at 0.05 levels of significance the calculated value 2.525 is greater than the table value 1.96, Hence the alternate hypotheses i.e. “There will be a significant...