We provide here additional details on the test statistics and inference procedures used in the paper to assess the strength of identification in regressions based on instrumental variables procedures. These weak instruments test statistics are often reported in empirical applications. However, the inferential implications, particularly for the weak instruments test statistics, are often left un...

The inherent randomness, intermittence and volatility of wind power generation compromise the quality system, resulting in uncertainty system's optimal scheduling. As a result, it's critical to improve assure real-time grid scheduling grid-connected farm operation. Inferred statistics are utilized this research infer general features based on selected information, confirming that there differen...

the aim of this study was to compare mental health, quality of life and emotional intelligence in physical education teachers and non-physical education teachers in kermanshah. this study was carried out by a causal-comparative and field method. the statistical population of this study comprised all the teachers of kermanshah (972 physical education teachers and 2854 non-physical education teac...

the purpose of this paper is to investigate the challengesand problems of nonprofit institutes and universities. the researchmethod is a survey in which non-profit institutes’ strategy wasdetermined based on swot analysis. the research populationincluded all faculty members and administrators of non-profitinstitutes, 108 of which were selected based on clustering and simplerandom sampling metho...

The article investigates how 14to 15year-olds build informal conceptions of inferential statistics as they engage in a modelling process and build their own computer simulations with dynamic statistical software. This study proposes four primary phases of informal inferential reasoning for the students in the statistical modeling and simulation process. Findings show shifts in the conceptual st...

Our primary topic for the three-week statistics module in this class will be inferential statistics. Inferential statistics is concerned with making precise quantitative statements about a population, given data on that population, while acknowledging the inherent uncertainty in the data. This uncertainty may be an unavoidable aspect of our data collection or, alternatively, may be purposely in...

A traditional view of statistics is that it is numerical detective work. An important part of this detective work is the collection of the data which will form the basis of inferences and action. Selecting a sample is a key activity in statistics. If the data collected are defective in some way for instance, because of bias then the inferences and actions based on them can be seriously flawed. ...