This is a very good and interesting question. As soon as you become interested in practical significance, you make your decision subjective. This is not bad by any means. It means that you are free to determine whether or not an outcome is important to study, even if you have not reached the classic "p < .05". Statistics tells you something about the likelihood that what you got was produced by chance alone. But in situations that deal for example with child safety, you aren't going to continue (or terminate) a process based on results that come in at "p = .062". In a statistics examination and with a presumed 5% confidence, p = .062 is not a strong enough result to "reject the null hypothesis". But what could that possibly mean if you are looking at factors affecting child safety?
I think the bottom line is this. If you are engaged in any kind of academic study and neither the study nor the results will bring harm to anyone, then let the statistics guide your research decisions. If there is the potential that harm will come to one or more individuals as a result of the study or its outcomes, then you need to re-evaluate the purpose of the study and consider the safety and well-being of the people involved.
Practical significance refers to the relevance of the study to the question at hand. Statistical significance refers to results of a computation to determine whether a certain event is due to chance.
500. 72kml
what is the differences between rights and responsibilities
Emily post was ,,,,
i need answer
What are thr differences between apllied and trditional research
statistical significance
Statistical significance means that you are sure that the statistic is reliable. It is very possible that whatever you conclusion or finding is, it may not be important or it not have any decision-making utility. For example, my diet program has a 1 oz weight loss per month and I can show that is statistically significant. Do you really want a diet like that? It is not practically significant
look for a paper being published in "The Oncologist" later this year (2008)
Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals
classical thermodyanamics is applicable in the continuum regime statistical thermodyanamics is applicable to non continuum regime
conceptual; what should work. practical; what does work for a given situation at a given time
Number of Required stations
There's no practical difference, it's just how you arrange the numbers.
A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.
500. 72kml
Lewis had depression but was very smart, and Clark was practical, and was the one to negotiate with the Native Americans.
on is bracketing method and the other is statistical value