Answer:
we use the terms, the hypothesis is incorrect or we lack sufficient evidence to declare the hypothesis incorrect. in hypothesis testing
Step-by-step explanation:
The conclusion made by the researcher after conducting a hypothesis test ( i.e. hypothesis is correct ) is not the right decision because in hypothesis testing we either reject the Null hypothesis or we fail to reject the Null hypothesis.
These conclusions can be made when;
P-value < ∝ ( reject null hypothesis ) and P-value > ∝ ( fail to reject null hypothesis )
and We do not use the term the hypothesis is correct But we use these terms, the hypothesis is incorrect or we lack sufficient evidence to declare the hypothesis incorrect.
