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?

< 6 cm to > 26 cm i believe

step-by-step explanation:

p ÷ r = tan(x)

step-by-step explanation:

given that there is a figure below shows a right triangle: a right triangle is shown with hypotenuse equal to q units and the length of the legs equal to p units and r units.

graph is missing so i will create the graph as per given information.

the angle between the legs having lengths p units and q units is y degrees. the angle between the legs having lengths r units and q units is x degrees.

now we need to find about what is p ÷ r equal to.

so we can use trigonometric ratio tan(x)=[altitude]/[base] to find the value of p ÷ r, because p is the altitude and r is the base.

p ÷ r=tan(x)

hence final answer is p ÷ r=tan(x).

i'm assuming that it's c.)   volcanoes built the mountains and earthquakes tore them down.

multiply then divide

step-by-step explanation: