China 
Africa 
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Leaner and More Agile: Analyze
Published in Terra Vanzant Stern, Lean and Agile Project Management, 2020
A larger sample contributes to avoiding Type I or Type II errors, which are simply a false positive or a false negative. The reason a sample is being studied is that it would not be practical to study the entire population before making a claim. If the whole population was studied and an assertion was made, it would have close to 100% confidence level that a Type I or Type II error has not happened. Anything less than 100% lowers the confidence level in the data.
Making the DMAIC Model More Lean and Agile: Analyze
Published in Terra Vanzant Stern, Lean and Agile Project Management, 2017
A larger sample contributes to avoiding Type I or Type II errors, which are simply a false positive or a false negative. The reason a sample is being studied is that it would not be practical to study the entire population before making a claim. If the whole population was studied and an assertion was made, it would have close to 100% confidence level that a Type I or Type II error has not happened. Anything less than 100% lowers the confidence level in the data.
Causes and prevention of mobile crane-related accidents in South Korea
Published in International Journal of Occupational Safety and Ergonomics, 2022
Jinwoo Lee, Ian Phillips, Zena Lynch
Based on previous literature [6,7,10], five different types of mobile crane-related accidents were classified and these are adopted for this study (see Figure 1, ‘Types of accidents’). ‘Others’ includes accidents caused by drowning or gas leaks and unknown accidents. Two types of statistics were used in the data analysis (descriptive and non-parametric), as set out in Figure 1. The significance level is 0.05, which is frequently used in studies [12] because it achieves the best trade-off between minimizing type I and type II errors.