Just divide 24 (the number of defective batteries) by 60 (the total number).
.0504
29/40 or a 72.5% chance that the next bowl will be chipped.
5% of them
In a bolt factory, machines A, B, C manufacture respectively 25%, 35% and 40% of the total production. Of their output 5%, 4% and 2% respectively are defective bolts. A bolt is drawn at random and is found to be defective. What is the probability that it is manufactured by machine B ?
20% -- I would shut down this factory immediately and fix the problem because you are wasting a lot of money producing these radios.
If 1% of the bolts are defective, then the probability is that close to 2 bolts will be defective if there are 175 bolts. The actual probability is that 1.75 bolts will be defective, but you can not have 3/4 of a bolt. However you know there are going to be runs when you have no errors and runs when you have several error. You would need to make 300 bolts in order to have a run of 125 with no errors to have 3 defective bolts in a run of 1.75 bolts. Likewise, you would need to make a minimum of 600 bolts to have six defective bolts in 1.75 bolts. Then you would have 425 good bolts. However, you are dealing with probabilities, not with getting the machinery started the first thing in the morning. Since there is a 1% error rate, you must assume this is a random rate. It occurs like dice or a coin flip. With the last coin tossed, you have no idea what the next coin flip will be. It is not like the next coin flip will be the opposite. Using the Monte Carlo method, I got .29%. Good luck
4 AA batteeies
Tesla buys its batteries from Panasonic, but is in the process of building a large scale battery factory in the US.
Simply take the batteries out, press a few buttons and then put the batteries back in. It should now be restored to its original factory settings.
Unless a factory experimental exists, none.
Factory Floor with Marshall Brain - 2008 Toilet Paper Chocolate Batteries Bike was released on: USA: 4 December 2008
observational