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Sedaia [141]
3 years ago
15

Which expression is equivalent to this number? 28 19/100

Mathematics
1 answer:
storchak [24]3 years ago
8 0

Answer:

20 + 8 + 0.1 + 0.09

Step-by-step explanation:

This is because the whole number 28 has a 2 in the tens place, meaning it has 2 tens, and 10x2=20. Same goes for the 8 in the ones place (8x1=8)

20+8=28. Then, 19/100 is equal to 0.19, which has a 1 in the tenths place and a 9 in the hundreths place put together to get 28.19

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A survey finds customers are charged incorrectly for an item 20​% of the time. Suppose a customer purchases 14 items. Find the p
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Answer:

55.2% probability that the customer is charged incorrectly on at least 3 items.

Step-by-step explanation:

For each item, there are only two possible outcomes. Either it is charged incorrectly, or it is not. The probability of an item being charged incorrectly is independent from other items. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

A survey finds customers are charged incorrectly for an item 20​% of the time.

This means that p = 0.2

Find the probability that the customer is charged incorrectly on at least 3 items.

Either the customer is charged incorrectly on 2 or less items, or he is charged on at least 3. The sum of the probabilities of these events is 1.

So

P(X < 3) + P(X \geq 3) = 1

We want P(X \geq 3)

So

P(X \geq 3) = 1 - P(X < 3)

In which

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{14,0}.(0.2)^{0}.(0.8)^{14} = 0.0440

P(X = 1) = C_{14,1}.(0.2)^{1}.(0.8)^{13} = 0.1539

P(X = 2) = C_{14,2}.(0.2)^{2}.(0.8)^{12} = 0.2501

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0440 + 0.1539 + 0.2501 = 0.448

P(X \geq 3) = 1 - P(X < 3) = 1 - 0.448 = 0.552

55.2% probability that the customer is charged incorrectly on at least 3 items.

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