By Christopher A. Janicak
Utilized data in Occupational defense and well-being, moment variation, offers occupational security and healthiness pros with an introductory consultant to uncomplicated statistics and knowledge research. This e-book is written in an easy-to-understand structure with step by step approaches to investigate info utilizing quite a few statistical strategies. during this moment variation new and up to date examples are supplied in addition to extra statistical checks. issues during this e-book comprise statistical tactics for examining skill, descriptive statistical equipment, correlations, regression, and non-parametric statistical assessments. on the finish of every bankruptcy, the writer has supplied pattern difficulties and strategies.
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Additional info for Applied Statistics in Occupational Safety and Health
Sample text
Percentages, Cumulative Percentages, and Percentiles A percentage is calculated by dividing the frequency of occurrence by the total number of occurrences and then multiplying by 100. In the following example, an ergonomist counted the number of motions performed by a worker during a 1-minute task. 2. The percentage of the task motions is then calculated by dividing the frequency of the motions by the total number of motions recorded. 2. 4%. 3. The next step is to calculate the cumulative percentage.
The following is a suggested list of guidelines: • The vertical axis should represent the frequency or percentage of cases in each interval, and the horizontal axis should represent each interval. • The horizontal axis should be developed using equal intervals. • There should be no overlaps in the intervals. • The horizontal and vertical axes should begin at zero. • Each case in a histogram is represented by an area. This area should be consistent for each case. • The horizontal and vertical axes should be labeled, as should be the histogram.
Again, if the result of the statistical test lands in the shaded region of the curve, then it is considered to be significant. 5 indicates the critical regions of the curves for one-tailed tests. 4. 49 Critical Region of the Curve (99%). Confidence Intervals for Means A confidence interval provides a range within which the mean for a distribution can be expected to fall with a certain degree of probability (Kuzma 1992, 105–7). The two most common confidence intervals are the 95% confidence interval (CI95%) and the 99% confidence interval (CI99%).
