Question
Upstudy AI Solution
Tutor-Verified Answer
Answer
We do not reject the null hypothesis.
Solution

Sign in to Unlock Answers for Free!
A Learning Platform Trusted by Millions of Real Students and Teachers.

Answered by UpStudy AI and reviewed by a Professional Tutor
Like
Extra Insights
In hypothesis testing, a p-value represents the probability of observing the data given that the null hypothesis is true. Here, with a p-value of 0.425, which is significantly higher than the significance level
, we do not have enough evidence to reject the null hypothesis. In fact, we would fail to reject
since 0.425 is greater than 0.01, meaning we observe a result that is consistent with the null hypothesis.
It’s always crucial to remember that failing to reject the null hypothesis doesn’t prove it is true; we simply lack strong evidence against it based on our data. So, while the null remains standing, it’s an opportunity to conduct further tests or gather more insightful data to refine our conclusions!