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Significance Level (Alpha Level): If the level is set a .05, it means the statistician is acknowledging that there is a 5% chance the results of the findings will lead them to an incorrect conclusion.
It depends on the significance level required. And that, in turn, will depend on the cost of making the wrong decision. For ordinary use, a 95% significance level will require 1.96 sd
The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis.
In order to solve this you need the null hypothesis value also level of significance only helps you decide whether or not to reject the null hypothesis, is the p-value is above this then you do not reject the null hypothesis, if it is below you reject the null hypothesis Level of significance has nothing to do with the math
Type I error.