Abearing used in an automotive application is suppose to have a nominal inside diameter of 1.5 inches. a random sample of 25 bearings is selected and the average inside diameter of these bearings is 1.4975 inches. bearing diameter is known to be normally distributed with standard deviation σ = 0.01 inch. (a) test the hypotheses h0: μ = 1.5 versus h1: μ ≠ 1.5 using α = 0.01 (b) what is the p-value for the test in part (a)? (c) compute the power of the test if the true mean diameter is 1.495 inches. (d) what sample size would be required to detect a true mean diameter as low as 1.495 inches if we wanted the power of the test to be at least 0.92?

hows it hangin lol

step-by-step explanation:

proofs involving isosceles triangles often require special consideration because an isosceles triangle has several distinct properties that do not apply to normal triangles.(more about triangle types) therefore, when you are trying to prove that two triangles are congruent, and one or both triangles, are isosceles you have a few theorems that you can use to make your life easier.

step-by-step explanation:

an isosceles triangle has two congruent sides and two congruent angles. the congruent angles are called the base angles and the other angle is known as the vertex angle. ∠bac and ∠bca are the base angles of the triangle picture on the left. the vertex angle is ∠abc