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11111nata11111 [884]
2 years ago
9

Someone help me please!!!!!!!!!!!!!!!!

Mathematics
1 answer:
Digiron [165]2 years ago
7 0

The independent variable, x, represents the <u>number of years worked</u>, and the dependent variable is the <u>total salary</u>, because the <u>total salary</u> depends on the <u>number of years worked</u>. A function relating these variables is D(x) = [y = 4,000x + 45,000] So D(3) = [$57,000], meaning 3 years of work will give a <u>total salary</u> of $57,000.

<h3>The types of variables.</h3>

In an experiment, there are two (2) main types of variables and these include:

  • Dependent variable.
  • Independent variable.

<h3>What is an independent variable?</h3>

An independent variable can be defined as the variable that is being manipulated by an experimenter or researcher. This ultimately implies that, it is typically considered to be the cause in an experiment and represented by x.

In this scenario, we can infer and logically deduce that the independent variable, x, represents the <u>number of years worked</u>, and the dependent variable is the <u>total salary</u>, because the <u>total salary</u> depends on the <u>number of years worked</u>.

A function relating these variables is D(x) = [y = 4,000x + 45,000].

So D(3) = [$57,000], meaning 3 years of work will give a <u>total salary</u> of $57,000.

Read more on independent variable here: brainly.com/question/82796

#SPJ1

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The distribution of the amount of money spent by students on textbooks in a semester is approximately normal in shape with a mea
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Answer:

$301 - $397

Step-by-step explanation:

Using the Empirical rule

1) 68% of data falls within 1 standard deviation from the mean - that means between μ - σ and μ + σ .

2)95% of data falls within 2 standard deviations from the mean - between μ – 2σ and μ + 2σ .

3)99.7% of data falls within 3 standard deviations from the mean - between μ - 3σ and μ + 3σ .

From the above question,

Mean = 349 , standard deviation = 24.

Confidence interval = 95%

Using 2)95% of data falls within 2 standard deviations from the mean - between μ – 2σ and μ + 2σ .

μ – 2σ

= 349 - 2(24)

= 349 - 48

= 301

μ + 2σ

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= 349 + 48

= 397

Therefore, according to the standard deviation rule, approximately 95% of the students spent between $301 and $397 on textbooks in a semester.

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Step-by-step explanation:

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