Answer:
The combination of factors that is most likely to result in rejecting the null hypothesis
1. If the test statistic is greater than the p- value
2.when it does not meet the criteria for decision.
3. When there is type 1 error
step-by-step explanation:
1. If the calculated value is greater than the tabulated value
2. When the criteria for decision is not met, i.e alternative hypothesis not stated
3. Making a type 1 error, which means rejection of a true null hypothesis.
