Can a null hypothesis be inconclusive?

Can a null hypothesis be inconclusive?

If the probability value is lower then you reject the null hypothesis. However, if your probability value is higher than the conventional α level of 0.05, most scientists will consider your findings inconclusive. Failure to reject the null hypothesis does not constitute support for the null hypothesis.

Is the null hypothesis always 1?

The null is not rejected unless the hypothesis test shows otherwise. The null statement must always contain some form of equality (=, ≤ or ≥) Always write the alternative hypothesis, typically denoted with Ha or H1, using less than, greater than, or not equals symbols, i.e., (≠, >, or <).

Does the null hypothesis have to be equal to zero?

The null hypothesis is effectively stating that a quantity (of interest) is larger or equal to zero and smaller or equal to zero. If either requirement can be positively overturned, the null hypothesis is “excluded from the realm of possibilities”. The null hypothesis is generally assumed to remain possibly true.

Can a null hypothesis be greater than?

The null is not rejected unless the hypothesis test shows otherwise. The null statement must always contain some form of equality (=, ≤ or ≥) Always write the alternative hypothesis, typically denoted with H a or H 1, using less than, greater than, or not equals symbols, i.e., (≠, >, or <).

What is the null hypothesis symbol?

H 0
In a hypothesis test, we: Evaluate the null hypothesis, typically denoted with H 0. The null is not rejected unless the hypothesis test shows otherwise.

How are null, insignificant, and inconclusive results reported?

Researchers decide whether or not to publish a study based on the final outcomes. They are more likely to report findings that are positive and similar to those previously reported in literature. Null, insignificant, or inconclusive results often stay hidden in lab notebooks, never to be published!

What does it mean to have a null hypothesis accepted?

However, the data may also be consistent with differences of practical importance. Hence, failing to reject the null hypothesis does not mean that we have shown that there is no difference (accept the null hypothesis). Null hypothesis are never accepted. We either reject them or fail to reject them.

Can a statistic lie in an inconclusive region?

The Durbin-Watson test statistic can lie in an inconclusive region, where it is not possible either to reject or fail to reject the null hypothesis (in this case, of zero autocorrelation). What other statistical tests can produce “inconclusive” results?

Which is an example of an inconclusive test?

Another example of a test with possibly inconclusive results is a binomial test for a proportion when only the proportion, not the sample size, is available. This is not completely unrealistic — we often see or hear poorly reported claims of the form “73% of people agree that …”