Answer:

And we can find the individual probabilities like this:
And replacing we got:

Step-by-step explanation:
Definitions and concepts
The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:
And the parameter
represent the average ocurrence rate per unit of time.
Solution to the problem
For this case the batch would be rejected if we found more than 3 defects, so then the probability of accept the batch would be given by:

And we can find the individual probabilities like this:
And replacing we got:

Answer:
i think it 32,768
Step-by-step explanation:
2+2=4+2=6-2=4*2=8 and 8*8*8*8=32,768
Assuming that you're talking about a standard deck of 52 cards, there are 4 tens and 4 aces.
So, at the beginning, you have probability 4/52=1/13 to draw a ten.
You replace, and you have an identical probability to draw an ace (you still have 4 favourable cases over 52 total cases).
Multiply the two probabilities to find the answer:
