The critical value strategy entails analysing if the observed test statistic is more extreme than would be predicted if the null hypothesis were true in order to determine "likely" or "unlikely."
The area under the standard normal model is linked to the crucial value of z. Critical values can inform you how likely a given variable is to occur.
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