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3 years ago

I REALLY NEED ANSWERS NOW!!

Mathematics

1 answer:

Andreyy893 years ago

4 0

Answer:

Step-by-step explanation:

24-17= 7

therefore

the difference between -17 &-24 is also 7

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In the figure, ABC and DEF are similar. What's the scale factor from ABC to DEF?

Elena-2011 [213]

Answer:

Step-by-step explanation:

The scale factor of ABC to DEF is the number you need to multiply a corresponding side of ABC to get one of DBC. We are given the two triangles are similar, so we can say that sides AB and DE are proportional. We are looking for the number we need to multiply AB by to get DE. From this relation, we can get the equation:

AB * x = DE

where x is our scale factor. We can substitute in the values of AB and DE, and solve for x:

5x = 15

x = 3

Therefore, the scale factor is three. This means that you can multiply any side of ABC by 3 to get a side of DEF.

7 0

3 years ago

What is the value of X

AleksandrR [38]

Well you see here, you need to take attest pre-calculus to answer this question. I am in 6th grade.

7 0

3 years ago

rachel was cutting out some fabric for a friend. she cut a piece that was 5 cm wide and had an area of 20(20)cm. how long was th

Pavlova-9 [17]

Area of a rectangle is L * W

L = x
W = 5

5x = 20 (Divide by 5 on both sides)
x = 4

L=4
W= 5

The length is 4cm

Hope this helps :)

3 0

3 years ago

The Ohio Department of Agriculture tested 203 fuel samples across the state

Rus_ich [418]

Answer:

$\hat p = \frac{14}{105}= 0.133$

And that represent the proportion of failures.

The confidence interval for the mean is given by the following formula:

$\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$

If we replace the values obtained we got:

$0.133 - 2.58\sqrt{\frac{0.133(1-0.133)}{105}}=0.0475$

$0.133 + 2.58\sqrt{\frac{0.133(1-0.133)}{105}}=0.2185$

The 99% confidence interval would be given by (0.0475;0.2185)

Step-by-step explanation:

Previous concept

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 99% of confidence, our significance level would be given by $\alpha=1-0.99=0.01$ and $\alpha/2 =0.005$ . And the critical value would be given by: