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notsponge [240]
3 years ago
7

A carrot has 55 grams of sugar per serving. A banana has 1515 grams of sugar per serving. Which statement is true?

Mathematics
1 answer:
-Dominant- [34]3 years ago
3 0
Neither are true there are 2.9 grams or sugar in a carrot per serving and 14 grams of sugar per serving in a banana.
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The Seniors at three high schools were surveyed about their plans after graduation. The following table shows the responses, cla
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Answer:

E. 396/538

Step-by-step explanation:

The probability that the senior selected will not be from High School B given that the senior did not answer colege:

First, what's the probability of not having answered college? This will be out denominator.

P(not choosing college) = 244 + 106 + 188 = 538

Next, what's the probability that a senior in that category is not from HS B? Well, add the probabilities that the senior is in HS A or C:

P(senior is in HS A or C and answered not college) =  49 + 99 + 63 + 83 + 31 + 71 = 396

<u>Our answer is E. 396/538.</u>

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3 years ago
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8 0
3 years ago
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Sedbober [7]
The answer to this question is A. Simple calculator problem.
4 0
3 years ago
Children arrive at a house to do Halloween trick-or- treating according to a Poisson process at the unlucky rate of 13/hour. Wha
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Answer:

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Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

f(x) = \mu e^{-\mu x}

In which \mu = \frac{1}{m} is the decay parameter.

The probability that x is lower or equal to a is given by:

P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:

P(X \leq x) = 1 - e^{-\mu x}

The probability of finding a value higher than x is:

P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}

Children arrive at a house to do Halloween trick-or- treating according to a Poisson process at the unlucky rate of 13/hour

13 arrivals during an hour, which means that the mean time between arrivals, in minutes is of \mu = \frac{13}{60} = 0.2167

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This is P(X > 4). So

P(X > 4) = e^{-0.2167*4} = 0.4204

So the correct answer is given by option b.

3 0
3 years ago
An expression is shown below:
ladessa [460]
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6 0
4 years ago
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