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.  

true

step-by-step explanation:

options a,b,c are the right answer.

step-by-step explanation:

a linear parent function is always represented as y = x

if we write this function in the form of y=mx+c

⇒

or  

now if we plot a graph we will find these characteristics:

1) y intercept of the graph is zero so its a straight line passing through origin.

2) as we can see in both the forms of function written, values of x and y may be either positive or negative for the positive slope means points on the graph are either in first quadrant or in third one.

3) it's slope is one.