A production line operation is tested for filling weight accuracy using the following hypotheses. HypothesisConclusion and Action
H 0: = 16Filling okay, keep running
H a: not =16
 Filling off standard; stop and adjust machine
The sample size is 40 and the population standard deviation is = 0.7. Use = .05. Do not round intermediate calculations.

What would a Type II error mean in this situation?

Concluding that the mean filling weight is 16 ounces when it actually isn't

What is the probability of making a Type II error when the machine is overfilling by .5 ounces (to 4 decimals)?

What is the power of the statistical test when the machine is overfilling by .5 ounces (to 4 decimals)?

for the friend request.

when a figure, such as triangle (xyz) is reflected over the line y = x to create x'y'z' the x-coordinates and y-coordinates of the original image (pre-image) will be reversed for the image. (e.g., (x, y) > (y, x)) this means that the pre-image position of the x- and y-coordinates switch places which in turn provides a mirror like image of the original xyz.  

i notice that when i draw a line segment from x to x', that the points are parallel from each other -- they are exactly across from each other and do not intersect with any other points.  

yes, think i would see the same characteristic if you drew the line segment connecting y with the reflecting line and then y' with the reflecting line because of the essence of reflections. because it is a mirror image, each point was effected the same way which leads me to conclude that they same would apply to y and y'.

if she was to only spend a dollar she can get 1lb

step-by-step explanation:

well if he bought them at 5 cedis each sold them at 7 cedis each then he would make a profit of 2 cedis of each book. if in total he made 150 cedis profit that means he sold 75 books. he lost 12 books at the start so that means he originally bought a total of 82 books.

step-by-step explanation: