Can you reject the null hypothesis at the 0.01 significance level?

Can you reject the null hypothesis at the 0.01 significance level?

If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.

Will the null hypothesis be rejected at the 0.10 level of significance?

If the same sample had been used to test the null hypothesis that the mean of the population differs from 90, the null hypothesis could be rejected at a level of significance of 0.05. If we reject a null hypothesis at the 0.05 level of significance, then we must also reject it at the 0.10 level.

What does a significance level of 0.10 mean?

Common significance levels are 0.10 (1 chance in 10), 0.05 (1 chance in 20), and 0.01 (1 chance in 100). The result of a hypothesis test, as has been seen, is that the null hypothesis is either rejected or not. The significance level for the test is set in advance by the researcher in choosing a critical test value.

Is P 0.01 statistically significant?

Conventionally the 5\% (less than 1 in 20 chance of being wrong), 1\% and 0.1\% (P < 0.05, 0.01 and 0.001) levels have been used. Most authors refer to statistically significant as P < 0.05 and statistically highly significant as P < 0.001 (less than one in a thousand chance of being wrong).

Can the null hypothesis be rejected at the 0.05 level?

The convention in most biological research is to use a significance level of 0.05. This means that if the P value is less than 0.05, you reject the null hypothesis; if P is greater than or equal to 0.05, you don’t reject the null hypothesis.

Is rejected at the level?

The null hypothesis is rejected if p is at or below the significance level; it is not rejected if p is above the significance level. If p had been 0.0001 instead of 0.042 then the null hypothesis would still be rejected at the 0.05 level.

What does it mean if a result is said to be significant at 1\% level?

Significance levels show you how likely a pattern in your data is due to chance. The most common level, used to mean something is good enough to be believed, is . 95. This means that the finding has a 95\% chance of being true. 01″ means that there is a 99\% (1-.

What does P-value 0.1 mean?

The smaller the p-value, the stronger the evidence for rejecting the H0. This leads to the guidelines of p < 0.001 indicating very strong evidence against H0, p < 0.01 strong evidence, p < 0.05 moderate evidence, p < 0.1 weak evidence or a trend, and p ≥ 0.1 indicating insufficient evidence[1].