By Christopher A. Janicak
Utilized facts in Occupational protection and healthiness, moment version, offers occupational safeguard and overall healthiness execs with an introductory advisor to easy facts and information research. This publication is written in an easy-to-understand structure with step by step systems to research facts utilizing quite a few statistical suggestions. during this moment version new and up to date examples are supplied in addition to extra statistical exams. subject matters during this e-book contain statistical techniques for examining ability, descriptive statistical equipment, correlations, regression, and non-parametric statistical assessments. on the finish of every bankruptcy, the writer has supplied pattern difficulties and options.
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Additional info for Applied Statistics in Occupational Safety and Health
What is the 99% confidence interval for this data? 56? How many possible combinations can you obtain with seven items? ) 10. Fred has 10 cars, each of a different color. If he decided to select 3 at a time, how many combinations could he come up with? ) 11. How many combinations can he have with different orders? 12. Calculate the variance of the following data set. 2, 13, 17, 15, 19, 23, 4, 6, 7, 8 13. Calculate the standard deviation of this data set. 14. What is the range of this data set? 15.
In this example, the probability of having a back injury case reported is 23/87, or 26%. Next, the safety manager must determine the probability of a case that is a back injury and a lost workday case. The probability is 14/87, or 16%. 26 Therefore, given the fact that the case reported was a back injury, there is a 61% chance that the case is a lost workday case. Permutations, Ordered Combinations, and Combinations In the examples presented thus far, the total number of possible events has been provided or easily determined by counting the total number of cases in the sample or population.
For each range of potential outcomes, the frequency of cases is identified and listed. From the frequency distribution, histograms, frequency polygons, and distributions can be identified for the data. The researcher must know what type of distribution the data take on so he or she can properly choose the statistical tests and make correct decisions about the data. There are five major distributions identified for the data: normal distribution, t distribution, F distribution, chi-square distribution, and binomial distribution.