This paper analyzed how different individual sicknesses affect staff performance within K-2 organization. Additionally, the paper also looked at the different causes and the results of the sicknesses in terms of the instance sick days the workers had within the organization. Data was analyzed using descriptive statistics; the standard deviation correlation between variables. A Pivot Table was used to summarize the findings into a simple format. Therefore, data under the sickness was used to describe the percentages of different types of sickness experienced by the workers. 1.1 Descriptive statistics
In the interpretation, the descriptive statistics generate findings in relation to univariate information for data in the entered range, running information around the mean and variability of data obtained (Martin & Bridgmon, 2012). Graph 1.1 TYPES OF SICKNESSES
The graph shows four types of diseases that affect the individual within K-2 organization. That is the Gastro- intestinal, muscular/skeletal, Neurology, and any other diseases. The graph showed how the diseases affect an individual leading to the sick days. Graph 1.2 FTE SICK DAYS
The graph displayed the distribution of the number of instance sick days because of individual sickness. This distribution provides information on how data presented appeared in the study. Through it, the researcher was in a position to explain the distribution of FTE sick days within the organization. From the graph there several occasion of sickness that in turn affected the organization performance. 1.2 Inferential statistics
Inferential statistics assisted the researcher in making inferences concerning the relationship between the variables. Information from the sample is used to make inferences to the entire population (Flick, 2011). In this study, the researcher conducted a correlation coefficient through the PEARSON and CORREL worksheets functions. The correlation coefficient, just like the covariance, refers to a measure of the extent at which two variables are different from one another (Flick, 2011). It is calculated so that its measures are independent of the two groups in which the two variables are observed and measured (Walliman, 2010). For instance, the value of sick days was unchanged when the value of sickness was obtained lager values. Thus, the correlation coefficient value had to range between -1 and +1. Correlation value can also be used to determine if the values of the two variables move together when an individual falls sick (Flick, 2011). 1.3 Conclusion
The organization should look at different ways of controlling these diseases that lead to sick days within the organization. This could be in the form of improving the working conditions and providing better working conditions for the workers. 1.4 Recommendations
Workers should be encouraged to be cautious of their well-being to curb these illnesses especially the Gastro- intestinal that leads to vomiting and diarrhea among individuals. Above all, the organization should look for medical facilities that can be offered to its workers, which in turn provide advice on how to control the disease. This can be achieved through seminars organized in the organization. The organization may also employ a nurse who will be responsible for conducting regular health checks on the workers.
Flick, U. (2011). Introducing Research Methodology: A Beginner's Guide to Doing a Research Project . London: SAGE. Martin, W. & Bridgmon, K. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. New York: John Wiley & Sons. Walliman, N. (2010). Research Methods: The Basics. London: Routledge.
References: Flick, U. (2011). Introducing Research Methodology: A Beginner 's Guide to Doing a Research Project . London: SAGE.
Martin, W. & Bridgmon, K. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. New York: John Wiley & Sons.
Walliman, N. (2010). Research Methods: The Basics. London: Routledge.
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