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Juli2301 [7.4K]
3 years ago
13

Alba worked for 6 hr 45 min at $7.90 per hour. What numbers could she use to estimate how much money she earned? Estimate the am

ount she earned, and the state whether you think the exact amount is a little more or a little less than your estimate.
Mathematics
1 answer:
Svetradugi [14.3K]3 years ago
8 0

Answer:

  • $52
  • this estimate is a little low

Explanation:

a) I might choose 6 1/2 hours and $8 per hour, so the estimated earnings would be ...

  6(8) +(1/2)(8) = 52 dollars . . . . estimated earnings

These values are purposely chosen so that one is a little high and the other is a little low, hopefully producing a closer estimate than if both numbers were high (as 7 hours, $8, for example).

__

b) Using 800 instead of 790 means the pay estimate is about 1/80 = 1.25% high.

Using 6 1/2 instead of 6 3/4 means the hours estimate is about 1/27 ≈ 3.7% low.

So, we expect the product of these values to be slightly low, perhaps by about 2.5%.

_____

<em>Comment on estimating</em>

If you can estimate the error in the estimate with some reasonable accuracy, you can use that to adjust the estimate to a pretty close value.

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Answer:

Option <em>B</em> is not the most common correct choice.

Step-by-step explanation:

The multiple-choice questions on Advanced Placement exams have five options: A, B, C, D, and E.

The probability that any of these five option is the correct answer is:

p=\frac{1}{5}=0.20

A random sample of 400 multiple-choice questions on Advanced Placement exam are selected.

The results showed that 90 of the 400 questions having B as the answer.

To test the hypothesis that option B is more likely the correct answer for most question, the hypothesis can be defined as:

<em>H₀</em>: All the options are equally probable, i.e. <em>p</em> = 0.20.

<em>Hₐ</em>: Option B is more likely the correct option, i.e. <em>p</em> > 0.20.

Compute the sample proportion as follows:

\hat p=\frac{90}{400}=0.225

The test statistic is:

z=\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}=\frac{0.225-0.20}{\sqrt{\frac{0.20(1-0.20)}{400}}}= 1.25

The test statistic is 1.25.

Decision rule:

If the <em>p</em>-value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.

Compute the <em>p</em>-value as follows:

p-value=P(Z>1.25)\\=1-P(Z

*Use a <em>z</em>-table.

The <em>p</em>-value is 0.1057.

The <em>p</em>-value of the test is quite large. Thus, the null hypothesis was failed to rejected.

Hence, it can be concluded that option <em>B</em> is not  the most common correct choice.

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Given

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Substitute the given points into the slope formula

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