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Shkiper50 [21]
2 years ago
8

F(6) if f(x)=4x what's the answer?a.24b.10c.16or is it d.2​

Mathematics
1 answer:
Pavlova-9 [17]2 years ago
3 0

Answer:

Hi! The answer to your question is A. 24

Step-by-step explanation:

☆*: .。..。.:*☆☆*: .。..。.:*☆☆*: .。..。.:*☆☆*: .。..。.:*☆

☆Brainliest is greatly appreciated!☆

Hope this helps!!!

- Brooklynn Deka

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Answer: I can't view the model.

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How can you use equations to model problems about unknown numbers?
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To set up or model a linear equation to fit a real-world application, we must first determine the known quantities and define the unknown quantity as a variable. Then, we begin to interpret the words as mathematical expressions using mathematical symbols. Let us use the car rental example above. In this case, a known cost, such as $0.10/mi, is multiplied by an unknown quantity, the number of miles driven. Therefore, we can write

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If a quantity is independent of a variable, we usually just add or subtract it according to the problem. As these amounts do not change, we call them fixed costs. Consider a car rental agency that charges $0.10/mi plus a daily fee of $50. We can use these quantities to model an equation that can be used to find the daily car rental cost

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When dealing with real-world applications, there are certain expressions that we can translate directly into math. The table lists some common verbal expressions and their equivalent mathematical expressions.

8 0
3 years ago
Use the given qualitative data to construct the relative frequency distribution.
ikadub [295]

Answer:

Category                         Relative Frequency

male survivors                           17.3%

males who died                          63.7 %

Female survivors                        15.1 %

Females who died                       3.8%

Step-by-step explanation:

  • The relative frequency is the proportion of the number of times the event occurs to the total number of trials.

Given : Total people on ship = 2274

Number of male ​survivors = 394

⇒ Relative Frequency of male ​survivors =\dfrac{394}{2274}

In percent , \dfrac{394}{2274}\times100\approx17.3\%

Number of males who​ died =1449

⇒ Relative Frequency of male ​who​ died =\dfrac{1449}{2274}

In percent , \dfrac{1449}{2274}\times100\approx63.7\%

Number of female​ survivors =344

⇒ Relative Frequency of female​ survivors =\dfrac{344}{2274}

In percent , \dfrac{344}{2274}\times100\approx15.1\%

Number of females who died = 87

⇒ Relative Frequency of females who died =\dfrac{87}{2274}

In percent , \dfrac{87}{2274}\times100\approx3.8\%

Hence, the complete table would be :

Category                         Relative Frequency

male survivors                           17.3%

males who died                          63.7 %

Female survivors                        15.1 %

Females who died                       3.8%

8 0
3 years ago
Probabilities are __<br> one.
VladimirAG [237]

Answer:

Im gonna go with A

Step-by-step explanation:

3 0
2 years ago
Read 2 more answers
In the library on a university campus, there is a sign in the elevator that indicates a limit of 16 persons. In addition, there
lesya692 [45]

Answer:

15.87% probability that a random sample of 16 people will exceed the weight limit

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For sums, the theorem can be applied, with mean n*\mu and standard deviation s = \sqrt{n}*\sigma

In this problem, we have that:

n = 16, \mu = 16*150 = 2400, s = \sqrt{16}*27 = 108

If a random sample of 16 persons from the campus is to be taken, what is the chance that a random sample of 16 people will exceed the weight limit

This is 1 subtracted by the pvalue of Z when X = 2508. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{2508 - 2400}{108}

Z = 1

Z = 1 has a pvalue of 0.8413

1 - 0.8413 = 0.1587

15.87% probability that a random sample of 16 people will exceed the weight limit

3 0
3 years ago
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