The difference of sample means of two populations is 55.4, and the standard deviation of the difference of sample means is 28.1. Which statement is true if we are testing the null hypothesis at the 95% confidence level? Medals 0
Answer Choices:

The difference of the two means is significant, so the null hypothesis must be rejected.

The difference of the two means is significant, so the null hypothesis must be accepted.

The difference of the two means is not significant, so the null hypothesis must be rejected.

The difference of the two means is not significant, so the null hypothesis must be accepted.

If we exist testing the null hypothesis at the 95% confidence level. The difference between the two standards exists not significant, so the null hypothesis must be rejected.

What is meant by confidence level?

Confidence level directs to the percentage of probability, or certainty, that the confidence interval would have the true population parameter when you draw a random sample many moments.

Given: The difference of sample means of two populations stands at 55.4, and the standard deviation of the difference of sample means stands at 28.1.

Now, if we exist testing the null hypothesis at the 95% confidence level.

Therefore, the correct answer is option c) The difference of the two means is not significant, so the null hypothesis must be rejected.

To learn more about confidence level

https://brainly.com/question/24087230

#SPJ2