Примеры использования Null hypothesis на Английском языке и их переводы на Русский язык
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Null Hypothesis.
That's our null hypothesis.
The null hypothesis is either rejected or not rejected.
If F≥ FCritical, the null hypothesis is rejected.
The null hypothesis is& 55349;& 56379;0: all panels contain unit roots.
Drafted by F. Borry,ITEP Secretariat First version, 21/01/2010- Null hypothesis, H0.
The null hypothesis is rejected if the test statistic is in the critical region.
If the test statistic falls within the region of acceptance, the null hypothesis is accepted.
The null hypothesis is generally assumed to be true until evidence indicates otherwise.
If the data are consistent with the null hypothesis, then the null hypothesis is not rejected.
Tests of this hypothesis in a sample of 60 societies failed to reject the null hypothesis.
She will decide that the null hypothesis that is less than or equal to .50 is false.
Suppose that 55% of the people support the politician, that is, that= .55 and the null hypothesis is actually false.
The null hypothesis is either true or false, and the statistical decision process is set up so that there are no"ties.".
However these studies can have a higher type I error, when a true null hypothesis is rejected.
The null hypothesis is set to zero by definition it corresponds to“no solution”.
Some critics have argued that functionality can only be assessed in reference to an appropriate null hypothesis.
Failure to reject a null hypothesis usually results in a demand by a vigilant journal editor for cumbersome power calculations.
Another concern is that the p-value is often misunderstood as being the probability that the null hypothesis is true.
If the null hypothesis is not true the alternative hypothesis must be true, i.e. there is a difference.
The range of values which are unlikely to obtain(region of rejection)assuming the null hypothesis is true.
According to the above results, the null hypothesis of no spatial autocorrelation is not accepted for both variables at 5% significance level.
The range of values that are likely to be obtained(region of acceptance)assuming the null hypothesis is true and.
Rejection of an"almost true" null hypothesis in such situations frequently has been followed by vague statements that the rejection shouldn't be taken too seriously.
When the obtained value of the test statistic is greater than the upper critical value orless than the lower critical value, the null hypothesis is rejected.
A two-sided test, i.e. the null hypothesis is that the performances of the machine(s) are not different while the alternative hypothesis is that they are different and.
On the other hand,if the χ2 value obtained from the observed data falls within the range of rejection the null hypothesis H0 is rejected and the alternative hypothesis H1 is accepted.
If the Cochran test rejects the null hypothesis of equally effective treatments, pairwise multiple comparisons can be made by applying Cochran's Q test on the two treatments of interest.
This kind of situation, which is typical in many fields of research, for example, is called"Reject-Support testing,"(RS testing)because rejecting the null hypothesis supports the experimenter's theory.
That is, there is no exact test(meaning that, if the means are in fact equal,one that rejects the null hypothesis with probability exactly α) that is also the most powerful for all values of the variances which are thus nuisance parameters.