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vodomira [7]
3 years ago
5

Given the domain {-4, 0, 5}, what is the range for the relation 12x + 6y = 24?

Mathematics
1 answer:
irinina [24]3 years ago
6 0

Answer:

The range is {12, 4, -6} ⇒ D

Step-by-step explanation:

<em>The range of the relation is the values of y corresponding to the values given for x which is the domain of the relation</em>

∵ The relation is 12x + 6y = 24

∵ The domain of the function is {-4, 0, 5}

→ That means x = -4, 0, 5, we need to find their corresponding values of y

∴ Substitute the values of x in the relation

∵ x = -4

∴ 12(-4) + 6y = 24

∴ -48 + 6y = 24

→ Add 48 to both sides

∴ -48 + 48 + 6y = 24 + 48

∴ 6y = 72

→ Divide both sides by 6 to find y

∴ \frac{6y}{6}=\frac{72}{6}

∴ y = 12

∵ x = 0

∴ 12(0) + 6y = 24

∴ 0 + 6y = 24

∴ 6y = 24

→ Divide both sides by 6 to find y

∴ \frac{6y}{6}=\frac{24}{6}

∴ y = 4

∵ x = 5

∴ 12(5) + 6y = 24

∴ 60 + 6y = 24

→ Subtract 60 from both sides

∴ 60 - 60 + 6y = 24 - 60

∴ 6y = -36

→ Divide both sides by 6 to find y

∴ \frac{6y}{6}=\frac{-36}{6}

∴ y = -6

∵ The range is the values of y which corresponding to the domain

∴ The range is {12, 4, -6}

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Answer:

See Explanation

Step-by-step explanation:

The question is incomplete, as the required lengths are not given.

I will use the following data set to answer the question.

Dataset: 35, 51, 39, 42, 68, 62, 32, 59

First, is to determine the range of the dataset

Range = Highest - Least

Range = 68 - 32

Range = 36

Next, we will make use of 4 classes. So, we divide range by 10 to get the number of class. 10 represents the interval

Class= Range/10

Class = 36/10

Class = 3.6

Class \approx 4

<em>So, we use 4 classes</em>

Plot the frequency distribution table as follows:

\begin{array}{ccc}{Intervals} & {Observations} & {Frequency} & {31-40} & {32,35,39} & {3} & {41-50} & {42} & {1} & {51-60} & {51,59} & {2} & {61-70} & {62,68} & {2}\ \end{array}

<em>See attachment for histogram</em>

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3 years ago
A dealer paid $10,000 for a boat at an auction. At the dealership, a sales person sold the boat for 30% more than the auction pr
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Answer: the commission received by the salesperson is $576.9225

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Let x represent the auction price

At the dealership, a sales person sold the boat for 30% more than the auction price. It means that the amount for which he sold the boat is

x + (30/100 × x)

= x + 0.3x = 1.3x

If the dealer paid $10,000 for a boat at an auction, it means that

1.3x = 10000

x = 10000/1.3

x = 7692.31

The difference between the auction price and the dealer price is

10000 - 7692.31 =$2307.69

The sales person received a commission of 25% of the difference between the auction price and the dealer price. It means that the commission received by the salesperson is

25/100 × 2307.69 = $576.9225

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Answer:

di you mean m² when you say m2 or not?

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3 years ago
Pennies made prior to 1982 were made of 95% copper. Because of their copper content, these pennies are worth about $0.023 each.
aleksklad [387]

Using the z-distribution, it is found that since the <u>test statistic is less than the critical value for the right-tailed test</u>, it is found that this does not provide convincing evidence that the proportion of pennies in her containers that are pre-1982 copper pennies is greater than 0.132.

At the null hypothesis, it is <u>tested if the proportion of pennies in her containers that are pre-1982 copper pennies not greater than 0.132</u>, that is:

H_0: p \leq 0.132

At the alternative hypothesis, it is <u>tested if it is greater</u>, that is:

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The test statistic is given by:

z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}

In which:

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In this problem, the parameters are:

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Hence, the value of the <em>test statistic</em> is given by:

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z = \frac{0.22 - 0.132}{\sqrt{\frac{0.5(0.5)}{50}}}

z = 1.24

The critical value for a <u>right-tailed test</u>, as we are testing if the proportion is greater than a value, using a <u>0.05 significance level,</u> is of z^{\ast} = 1.645.

Since the <u>test statistic is less than the critical value for the right-tailed test</u>, it is found that this does not provide convincing evidence that the proportion of pennies in her containers that are pre-1982 copper pennies is greater than 0.132.

You can learn more about the use of the z-distribution to test an hypothesis at brainly.com/question/16313918

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