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
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
statistical significance
on is bracketing method and the other is statistical value
Explain the difference between capability and control.
What is the difference between practical and theoretical grammar? I am Russian , i would like to get to know about theoretical grammar more?
You can use the z test for two proportions. The link below will do this test for you.
the significance of segregation was to show the difference between the people
advantages of the study
As far as I know, no practical method has yet been found to put energy from lightning to practical use - or, for that matter, the voltage difference between the clouds and the Earth.As far as I know, no practical method has yet been found to put energy from lightning to practical use - or, for that matter, the voltage difference between the clouds and the Earth.As far as I know, no practical method has yet been found to put energy from lightning to practical use - or, for that matter, the voltage difference between the clouds and the Earth.As far as I know, no practical method has yet been found to put energy from lightning to practical use - or, for that matter, the voltage difference between the clouds and the Earth.