The diameter can be 2.5mm to 8.5mm. There is 6mm of difference. But our target is the ones less than 4.5mm, which is 2mm of difference. Our probability is 2/6 which is the same as 33 percent or .33.
It's a little complicated, sorry I'm not great at explaining things. Do you get it now?
The diameters of ball bearings produced in a manufacturing process can be described using a uniform distribution over the interval 2.5 to 8.5 millimeters. What is the probability that a randomly selected ball bearing has a diameter less than 4.5 millimeters?
a.0.38, b.0.28, c.0.43, d.0.33
1 answer
1 answer