Answer:
1. False
2.True
3.True
4.false
Explanation:
Given that the difference surpasses the threshold level it means the experiment is highly significant according to statistics a p-value less than 0.05 (p ≤ 0.05) is statistically significant.
This shows that the null hypothesis is less than a 5% probability correct and the alternative is more than 95% correct.
Therefore, we reject the null hypothesis, and accept the alternative hypothesis as the correct hypothesis