THE CORRELATION OF PHYSICAL STRENGTH TO PERFORMANCE ON PHYSICALLY DEMANDING JOBS by [Name of the Student] Presented to [Name of Professor] [Name of School] Introduction The vigorous requirement of physically demanding jobs have been of constant inquiry within the last few decades as the number of female and handicapped workers pursuing employment in jobs that requires higher level of physical capabilities has incessantly and significantly increased (Campion, 1983)…
Download full paperFile format: .doc, available for editing
Download file to see previous pages
Physically demanding jobs like those that can be obtained in the armed forces, emergency rescue, construction, heavy-equipment industries and the like require a high level of physical capabilities. Occupations that involve long and cyclical duties such as lifting, carrying, pulling and pushing can potentially cause cumulative trauma disorders such as “back pain, sprains, strains, carpal tunnel syndrome, and neck pain” (Nindl & Sharp, 2011). Understandably, when workers are blighted by physical traumas and injuries, they become less effective in carrying out their duties and responsibilities; hence, it could have a potentially negative effect on the job performance on the whole, and eventually on the entire organization. So, this paper shall elaborate on the correlation between physical strength of workers and job performance on physically demanding jobs. In order to clearly and accurately demonstrate a decisive inference on whether a correlation exists or not, this paper shall focus on two measures: arm strength and grip strength. Data Set No. 18 S. No. GRIP x ARM y RATINGS z SIMS Mean Score (x,y, z) Mean Score (x, y) 1 100.5 51 30.2 0.77 60.57 75.75 2 95 64.5 36 -1.97 65.17 79.75 3 75.5 57.5 42.1 0.35 58.37 66.50 6 54.5 35 39.8 -1.68 43.10 44.75 7 131 86 37 1.03 84.67 108.50 8 147 71 57.2 0.53 91.73 109.00 9 104 47.5 31.2 1 60.90 76.00 10 104.5 69 38 -1.43 70.50 86.75 11 120 100 52.4 1.24 90.8 110.00 12 128.5 93.5 46.4 3.16 89.47 111.00 13 29 19 28 -4.17 25.33 24.00 14 128.5 88 57 0.91 91.17 108.25 15 98.5 65.5 29.6 -1.29 64.53 82.00 Solution By simply taking the arm and grip endurance at a particular length of time, arm and grip strength have been measured and tallied for analysis. For the first calculation of the mean score, that is, (x, y, z), ratings have been included in order to identify the significance of ratings in determining the correlation between arm and grip strength and job performance. Nevertheless, to find if ratings do have a substantial effect on the overall job performance, a second mean score has been measured. Interpretation Scatter plots could have been utilized in order to graphically display the relationships between the strength scores and ratings, and how the two measures relate with ratings and work simulation scores. But, the table itself can already tell enough that participants with lower strength scores have lower ratings from their employers, which could mean that they performed less effectively that their counterparts. By simply analysing the data, one can automatically conclude that, indeed, there is a correlation between physical strength on performance on physically demanding jobs. Take for instance the comparison of the mean scores and sims between participant 1 and participant 13, participant has got a better simulation and mean score as compared to participant 13 despite the fact that participant 1 got a considerably low ratings. Furthermore, there is not much relationship between ratings and physical strengths. Some participants who have higher physical strength do necessarily have higher performance ratings from their employers. Such is the case of participant 12 and 15; nonetheless, it
...Download file to see next pagesRead More
Cite this document
(“Report on The Correlation of physical strength to perfomance on Essay”, n.d.)
Retrieved from https://studentshare.org/statistics/1472131-report-on-the-correlation-of-physical-strength-to
(Report on The Correlation of Physical Strength to Perfomance on Essay)
“Report on The Correlation of Physical Strength to Perfomance on Essay”, n.d. https://studentshare.org/statistics/1472131-report-on-the-correlation-of-physical-strength-to.
50bn, the Royal Bank of Scotland is the eighth largest bank around the globe and the main areas of operation of the bank are mainly the US, UK and Europe. However, out of the three, Europe is the main source of the bank’s income and asset generation. The RBS employs a strong employee force of over 28,000 employees distributed over 92 locations across the world and ten different business areas.
Some often used techniques to establish linear correlation are: 1. Scatter-plot: the simplest method is to plot the scores on a graph to identify the extent of covariance between scores. The biggest problem with using only a scatter-plot is that while it does tell us of the direction of the relationship; it gives us no information about its strength and significance.
The results of the study will establish that a significant number of college going students are increasingly affected by sleep deprivation which is affecting their grades. The study will then go ahead to give the limitations and implications of the study on real life situations.
In such a case, we will interview a few students selected randomly from the student population regarding their television watching patterns, then compare these values with their GPA scores using appropriate correlation tests. Generally, we expect a negative correlation between the two variables since GPA scores are seen to be low among students who spend more hours watching television and vice versa.
The author describes that the data set involves a sample of 15 with data on grip and arm strength, performance ratings on physically demanding jobs and SIMS performance. Variable name “Grip” refers to grip strength, variable name “Arm” refer to arm strength, variable name “Rating” refer to ratings on a physically-demanding job.
Correlation may be of different types. The different types of correlation are explained below.
Positive correlation: A positive correlation between two variable means that they behave in the similar way in their movement. "Positive correlation indicates that both variables increase or decrease together." (Karthik, 2005).
I did a class project in a class called FME when I was a freshman at college. That was a group project of ten people. The aim was to come up with a business idea. We came up with the proposal of selling Babson hats. That was actually my idea, supported by
The coefficient of correlation ranges from -1 to +1. A correlation coefficient of -1 at one extreme indicates a perfectly negative correlation between the independent and the dependent variable while a correlation coefficient of +1