A hypothesis is the first step in running a statistical test (t-test, chi-square test, etc.) A NULL HYPOTHESIS is the probability that what you are testing does NOT occur. An ALTERNATIVE HYPOTHESIS is the probability that what you are testing DOES occur.
Failing to reject a false null hypothesis.
To start with you select your hypothesis and its opposite: the null and alternative hypotheses. You select a confidence level (alpha %), which is the probability that your testing procedure rejects the null hypothesis when, if fact, it is true.Next you select a test statistic and calculate its probability distribution under the two hypotheses. You then find the possible values of the test statistic which, if the null hypothesis were true, would only occur alpha % of the times. This is called the critical region.Carry out the trial and collect data. Calculate the value of the test statistic. If it lies in the critical region then you reject the null hypothesis and go with the alternative hypothesis. If the test statistic does not lie in the critical region then you have no evidence to reject the null hypothesis.
I think you are asking: What is hypothesis testing in the field of statistics. See: http://en.wikipedia.org/wiki/Statistical_hypothesis_testing
No. The null hypothesis is assumed to be correct unless there is sufficient evidence from the sample and the given criteria (significance level) to reject it.
an experiment
Jerry D. Gibson has written: 'Introduction to nonparametric detection with applications' -- subject(s): Statistical hypothesis testing, Nonparametric signal detection, Demodulation (Electronics)
An experiment or method
Lehmann has written: 'Nonparametrics : statistical methods based on ranks' -- subject(s): Nonparametric statistics, Statistical hypothesis testing
it"s called ..... experiment
by testing whatever his hypothesis is about through a step called the procedure
Is an explanation based on many observations supported by experimental results
forming a hypothesis is when you come up with an educated guess.. what you think it may be . testing a hypothesis is when you're testing to see if someone else's guess is right.
Concluding that the hypothesis is correct based on personal beliefs or opinions is not part of testing a hypothesis. Testing a hypothesis involves designing experiments, collecting data, and analyzing results to determine if the hypothesis is supported or not.
Fred L. Ramsey has written: 'Birding Oregon' -- subject(s): Bird watching 'A small sample study of some non-parametric tests of location' -- subject(s): Nonparametric statistics, Statistical hypothesis testing
Chi-Square test
what is an example of a hypothses about compensation?