Assertion: null hypothesis | /r/HasProperty | correct
Facets:
value: more likely
type: DEGREE
Source sentences:
text: Conventionally, it is good practice to assume that the null hypothesis is correct until proven otherwise.
text: The significance test can show whether the null hypothesis is more likely correct than the research hypothesis.
text: Type 1 error is when we accept the research hypothesis when the null hypothesis is in fact correct.
text: In statistical hypothesis testing, the p-value[note 1] or probability value is the probability of obtaining test results at least as extreme as the results actually observed, assuming that the null hypothesis is correct.
text: For example, if a calculated test statistic exceeds the critical value for a significance level of 0.05 then this means that values of the test statistic as large as, or larger than calculated from the data would occur by chance less than 5 times in 100 if the null hypothesis was indeed correct.
text: This means that there is a 5% chance of a type I error (which in the case of hypothesis testing, is interpreted as 'if the null hypothesis was correct, we would expect to see this difference or greater only 5% of the time - meaning that there is [weak] evidence against the null hypothesis being correct).