Suppose a researcher wants to make sure that the probability of committing a Type I error is less than 5%. How can the researcher control for this?A. Set the value for a Type II error at 0.05. B. Set the alpha level at 0.05.
C. Place the rejection region in both tails.
D. Both setting the alpha level at 0.05 and placing the rejection region in both tails.

B. Set the alpha level at 0.05.

Step-by-step explanation:

Hypothesis testing is a procedure whereby a researcher determines if the null hypothesis is rejected or accepted, depending on the significant level or the alpha level. When a type I error is made, the null hypothesis is rejected even though it is correct. To solve this problem, the significant or alpha level is set to 5% or 0.05.

so firstly, we need to isolate the y variables to be able to solve these inequalities. firstly, add 0.5x on both sides of the first inequality and subtract 1.5x on both sides of the second inequality:

now since the slope is positive for the first inequality, this means that the line going upwards belongs to the first inequality, and the line going downwards belongs to the second inequality.

next, since y ≥ in the first inequality, this means that the shaded region will be above the first inequality's line, thus shading regions a and b.

next, since y ≤ in the second inequality, this means that the shaded region is going to be below this line, thus shading regions a and c.

since both lines shade region a, this means that region a is the solution.

step-by-step explanation:

mark brainliest!

step-by-step explanation:

there are 36 inches in a yard

25 : 36 = 0.69 yards (you can round to 0.70)