Question

(a) What would be an acceptable p-value in performing statistical analyses following an experiment? (b) Why do we choose this p-value versus any other p-value. (c) What would the results be by raising or lowering the p-value from the one you stated above? (Would lowering or raising the p-value be more or less stringent in failing to reject the null hypothesis?)

Answer 1

a)

The acceptable p-value in performing statistical analyses following an experiment should be lower than 0.05. It signifies a powerful confirmation opposite to the null theory as there is lower than 5 percent anticipation that null is legitimate. Accordingly, null theory could be rebuffed and alternative theory could be acknowledged.