No, that is not the correct definition.
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
The power of a statistical test is the probability that the test will reject the null hypothesis when it is, in fact, false. Please see the link.
Statistical inference is about testing hypotheses. In order to test a hypothesis, you make a prediction about the observations, contrasting the prediction with what might happen if the hypothesis were not true. The prediction is tested against the observations by calculating a test statistic or inferential statistic. This is a value which is based purely on the observations. If the test statistic is too far from the predicted value then the hypothesis should be rejected in favour of the alternative hypothesis.What constitutes "too far" depends on the presumed distribution of the variable being tested, as well as the degree of certainty required from the test - the power of the test. The latter is a balance between probability of rejecting the hypothesis when it is true and that of not rejecting it when it is false. These outcomes may be weighted according to the risk or costs that a false decision carries.
The official definition for majority rule is "the principle that the greater number should exercise greater power."
The power of a statistical test is defined as being a probability that a test will product a result that is significantly different. It can be defined as equaling the probability of rejecting the null hypothesis.
Power analysis can be used to calculate statistical significance. It compares the null hypothesis with the alternative hypothesis and looks for evidence that can reject the null hypothesis.
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
Reserved Powers - power of federal government not expressly stated.
Power provided by traditional means such as coal, wood, gas, etc., as opposed to alternative energy sources such as solar power, tidal power, wind power, etc. (Source: PHC)
Power is a contested concept and sociologists do not agree on how it is best defined however this provides students with many opportunities to demonstrate a detailed knowledge and understanding and to evaluate in a sophisticated manner by demonstrating for example how the answer to a question might differ if an alternative definition of power is used.
The probability of correctly detecting a false null hypothesis.
A hypothesis could be that your power is the same. Or it could be that your power is a million times greater or only one millionth. You decide!A hypothesis could be that your power is the same. Or it could be that your power is a million times greater or only one millionth. You decide!A hypothesis could be that your power is the same. Or it could be that your power is a million times greater or only one millionth. You decide!A hypothesis could be that your power is the same. Or it could be that your power is a million times greater or only one millionth. You decide!
A secondary answer to a similar question. for example: Question - Energy for humans Answer - oil, coal, alternative (derived from the word alternate) answer - solar power, wind
an alternative to electric like solar power
Plutonium is an alternative; thorium as fertile material.
dick
yes such as power and electricity