Download Applied Statistics in Occupational Safety and Health by Christopher A. Janicak PDF

By Christopher A. Janicak

ISBN-10: 0865871698

ISBN-13: 9780865871694

ISBN-10: 1591919665

ISBN-13: 9781591919667

Utilized information in Occupational defense and health and wellbeing, moment version, offers occupational defense and overall healthiness execs with an introductory consultant to uncomplicated records and information research. This publication is written in an easy-to-understand structure with step by step approaches to investigate information utilizing a number of statistical recommendations. during this moment version new and up-to-date examples are supplied in addition to extra statistical assessments. themes during this ebook comprise statistical strategies for reading ability, descriptive statistical tools, 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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Sample text

7. 8. 9. What percentage of the population is expected to score below 5? Within which two scores is 95% of the population expected to score? 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.

5871. 2). It is also possible to determine the percentages of the population expected to lie between two known points on the curve. There are sets of points that are significant in terms of statistical importance. Many times researchers want to know the points that 95% and 99% of the population lie between, above, or below. When decisions are made regarding inferential statistics, these critical levels are often used. To determine the points between which 95% of the population lies, an assumption that the curve equals 100% is made.

These data values do not have magnitude, meaning a category numbered 2 is not twice as large as a category 1. An example of categorical data is the gender of a person (male or female), the department that a person works in, etc. When establishing categorical data, the researcher typically provides the categories and asks the respondent to select one, or categories are developed and the researcher assigns placement. ORDINAL DATA Ordinal data is rank order data. Ordinal means order, and ordinal data allows the researcher to order the data in some fashion.

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Applied Statistics in Occupational Safety and Health by Christopher A. Janicak

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