Using the Poisson distribution, there is a 0.8335 = 83.35% probability that 2 or fewer will be stolen.
<h3>What is the Poisson distribution?</h3>
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by:

The parameters are:
- x is the number of successes
- e = 2.71828 is the Euler number
is the mean in the given interval.
The probability that a rental car will be stolen is 0.0004, hence, for 3500 cars, the mean is:

The probability that 2 or fewer cars will be stolen is:

In which:




Then:

0.8335 = 83.35% probability that 2 or fewer will be stolen.
More can be learned about the Poisson distribution at brainly.com/question/13971530
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Answer:
2 5/12 cups
Step-by-step explanation:
Map pours 3 2/3 cup of orange juice into measuring cup from a large container then he poured 1 1/4 cups back into the container
The amount of juice remaining in the measuring cup is calculated as:
3 2/3 - 1 1/4
= 3 - 1 + ( 2/3 - 1/4)
LCD = Lowest Common Denominator is 12
= 2 + (4 × 2 - 3 × 1/12)
= 2 + (8 - 3/12)
= 2 + 5/12
= 2 5/12 cups
Hence, the amount of juice remaining in the measuring cup = 2 5/12 cups of juice
25 because $518 ( their total ) divided by $21 ( the amount for EACH uniform) is 24.6 which isn’t possible so round it to 25
H(x) = 6x + 1
turn h(x) into y
y = 6x + 1
switch the x and the y
x = 6y + 1
solve for y
6y = x - 1
y = 1/6x - 1/6
y = 1/6(x - 1)
now stick the inverse notation in for y....h -1(x)
h-1(x) = 1/6(x - 1).....I think I did that right
The answer is B. 0.25 inch. Lets multiply all of them by the same factor. Since A. and B. have 3 decimals, lets divide all numbers by 1000: A. 0.026 * 1000 = 26, B. 0.25 * 1000 = 250, C. 0.24 * 1000 = 240, D. 0.025 * 1000 = 25. So, by comparing the whole numbers, it can be concluded that the biggest steel rod is B. 0.25 inch.