On using statistics to cope for the uncertainty that is going on in the processes and the outcomes when we are here as we are!
You know, we are not sure about anything in the life, and the most clearer and most determined solution of the life, is that we are dying after being here a short or a long time, and we should try to visible in such cases that we are remembered, and that there are things with us that can be remembered about us when the time and the spaces have gone away, and we are not in the life.
So, in Economics and in the Social Sciences and in Administration, there is always uncertainty in the long run, and we need to model the concepts and the measurement, and there are strategies about how things are going on when being here. And we are using structural equation modelling or SEM to find the concepts, the model with the circles and arrows going from one place to another, and we are not here to be offered supervision and monitoring, and we are not needing these things since we are friends with many people, both foreign and domestic people.
So, all kinds of studies are either theoretical, empirical or they are some combinations of these things that are going on when we are here as we are. And the literature and the freedom we are having with us, and there are business schools, colleges and universities when we are here as we are. And we are having freedom with the statements, the statement against the statement, and we are having discussions because we are meaning or claiming the same things and the different things when we are here as we are.
So, we are using univariate, bivariate and multivariate statistics, and this is for counting, for doing calculations about the uncertainty, and the probabilities that different things will happen within us and around us when counting how many people are doing that choice or another choice, and we are using the probabilities to take care how the things and events are happening in the nature and in the human nature when we are here as we are, and we can use statistics to sociology, psychology, marketing, strategy, information, meteorology, finance, economics, and many other things, and the point is that we are not sure about things and events and people and structures and unstructured patterns, and we should use statistics to be able to cope with all kinds of variations in the human nature and in the nature, and for being able to explain and explore and describe and make analysis of numbers and being able to tell and to find causes and stories in the nature we are facing when being here, and sometimes the weather is tough, and at other times and other sometimes, things are happening more smoothly when we are here, and we must make standardizations and adaptations of things going on, and we should try to make traces in the nature, and these things can just happen if we are thinking what we are as humans being with and without us, and the question is always what can be done in the life, and what we are going to tell and do of important and not important work when we are here as we are.
Uncertainty is understood in a risk context as not knowing the true value of a quantity, or the future consequences of an action, so the question in all daily affairs and boarding decisions are related to what we can know and tell, and what we cannot know and cannot tell, and we are just in the life to use models to explain something than we either should use nothing or everything, and everything cannot be explained with anything else than going into infinity. And therefore, we do not know other things than the models we have, and things are being explained in written contexts in addition, and this is why we are using essays sometimes when the alternatives are not where, and when we do not having any better thing to see and to explain what is going on here and there when being in the life, and the life is just in my and in your hands when we are here, and we living and dying and that is how the life is going when moving the life as we are moving it, when we are here.
Uncertainty can also refer to missing or imprecise information or knowledge about a hypothesis, a magnitude or outcome of an event. And hence uncertainty is a consequence of that there is none perfect man or woman anyhwere. And the nature, we do not know, but we can do predictions and forecasting and time series about what is happening in present and the future due to the data we have, and due to the stories and histories we have from the past. And we can use several models for taking care of uncertainties, for instance the Bayesian methods and the Monte Carlo simulations when being here. And there are probably other methods in addition, but we can think of using qualitative and quantitative methods when being here, and we can also make combinations of these, and qualitative methods are often qualitatively better to use than the quantitative methods, and quantitative methods are often quantitatively better to use sometimes than qualitative methods. And we should know which method to use, and what this implies for the general and the specific analysis.
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