Highway safety engineers test new road signs, hop- ing that increased reflectivity will make them more visible to drivers. Volunteers drive through a test course with several of the new- and old-style signs and rate which kind shows up the best.If the hypothesis is tested at the 1% level of significance instead of 5%, how will this affect the power of the test?

decreases

Step-by-step explanation:

H_0 : New road signs are equally visible

H_α: New road signs are more visible Power

Probability to reject the null hypothesis H_0, when H_0 is false.  

If the level of significance is smaller, then we are less likely to reject the null hypothesis and thus the power decreases.  

I believe the answer would be A, Chira will have more in her savings than Wyatt in every month.

Step-by-step explanation:

If you would look at the picture, you can see (IF YOU KNOW HOW TO READ A NUMBER LINE) that in 5 months Wyatt saved only $30.75. If you look at the graph where it had chiras savings account information, you can see that in 5 months she saves $48.50. You have to look at the graph and take hers where it has the point on [15] and then the point on [20] you subtract the difference between them both, and then you would just put 2 and 2 together so obviously Wyatt saves less being that he only saves $30.75 and Chira saves $48.50 every 5 months.

I hope this helped :)

-- Abigail N.