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...
with the alternative hypothesis the reasearcher is predicting
I think you are asking: What is hypothesis testing in the field of statistics. See: http://en.wikipedia.org/wiki/Statistical_hypothesis_testing
There is no inferential data. There is inferential statistics which from samples, you infer or draw a conclusion about the population. Hypothesis testing is an example of inferential statistics.
There can be no proper answer since it is not known whether the alternative hypothesis is one sides or two sided.
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...
When testings a hypothesis, statistics can be used to calculate the chances or probability of getting a result
with the alternative hypothesis the reasearcher is predicting
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
I think you are asking: What is hypothesis testing in the field of statistics. See: http://en.wikipedia.org/wiki/Statistical_hypothesis_testing
No. In fact, in statistics, an hypothesis is a statement whose truth is to be tested. In science, an hypothesis is a way of summarising a body of information that is capable of being shown to be false.
A hypothesis is a proposition to be proven or disproven by experiment or, in the case of statistics, to be assessed for its likelihood based on the numbers available.
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
definition and meaning of statistics
statistics definition
Herman J. Loether has written: 'Inferential statistics for sociologists' -- subject(s): Sampling (Statistics), Sociology, Statistical hypothesis testing, Statistical methods 'Descriptive and inferential statistics' -- subject(s): Sampling (Statistics), Sociology, Statistical hypothesis testing, Statistical methods 'Descriptive statistics for sociologists' -- subject(s): Sociology, Statistical methods
The null hypothesis will not reject - it is a hypothesis and is not capable of rejecting anything. The critical region consists of the values of the test statistic where YOU will reject the null hypothesis in favour of the expressed alternative hypothesis.