significance level

A significance level less than 0.05 was considered statistically significant.

The false positive rate is equal to the significance level.

The lower the significance level chosen, the stronger the evidence required.

Now the more certain that we want to be about a particular inference, right, the smaller is the significance level.

The result is not statistically significant, with a significance level of only 3 sigma.

The effect size does not determine the significance level, or vice-versa.

At the 5 per cent significance level the critical value of chi-square is 15.5.

It usually equals the significance level of a test.

This can result in false positives (at that significance level).

Analyses were conducted at a significance level of 0.05.

The exact coordinates of the activated areas and their significance levels are given in Table 1.

The significance level, such as 0.05, is not determined by the p-value.

A few factors might contribute to the absence of adjusted p values at that significance level.

All test were conducted on the 95% significance level.

By chance this can happen, although is true, with a probability denoted alpha, the significance level.

In statistics, a critical value is the value corresponding to a given significance level.

This means that for a given effect size, the significance level increases with the sample size.

The significance level varies, but is often set at 0.05 (5%).

The second column, p-value, expresses the results of the hypothesis test as a significance level.

To avoid the problem, many authors discourage the use of fixed significance levels when dealing with discrete problems.

If exceeds a given critical value, then the hypothesis of normality is rejected with some significance level.

Thus the null hypothesis is not rejected at the 5% significance level.

Second, once reliable measures for differential expression from two experiments are obtained, one would like to measure their significance level.

The possible observed heterozygotes and their exact significance level is given in Table 4.

We have calculated the minimum number of mutations needed to achieve the 5% significance level.