82. Dora bought one package of each 1-pound pork, 2-pound pork and 4-pound pork.
Thus, she got a total of:
=> 1 pound + 2 pounds + 4 pounds = 7 pounds of pork.
Question: How many ¼ pound of hamburger she can make then with this given number of pork in pounds.
=> ¼ = 1 / 4 = .25
Now, let’s divide 7 pounds by .25 pounds
=> 7 / .25 = 28
Thus, She can make 28 hamburgers in all.
Answer:
0.2008 = 20.08% probability that among 150 calls received by the switchboard, there are at least two wrong numbers.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
The probability that a call received by a certain switchboard will be a wrong number is 0.02.
150 calls. So:

Use the Poisson distribution to approximate the probability that among 150 calls received by the switchboard, there are at least two wrong numbers.
Either there are less than two calls from wrong numbers, or there are at least two calls from wrong numbers. The sum of the probabilities of these events is 1. So

We want to find
. So

In which





Then

0.2008 = 20.08% probability that among 150 calls received by the switchboard, there are at least two wrong numbers.
4 pints of water a<span> day
</span>So 4 pints × 30 days =120 pints
I think it is correct, if wrong please correct me
X represents the number of weeks, so $3 per week and $2 per week. Hope this helps!