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Vesna [10]
3 years ago
13

A line that passes through the point (5,2) and is parallel to y=x

Mathematics
1 answer:
Molodets [167]3 years ago
8 0

Answer:

y = x - 3

Step-by-step explanation:

Parallel lines have equal slopes.

The line y = x is written in the y = mx + b form, where m = 1, so the slope of the line y = x is 1. The slope of the parallel line is also 1.

The line you want has the form

y = mx + b

The slope is 1, so m = 1, and you get

y = 1x + b

y = x + b

We need to find the value of b.

Replace x and y in the equation with the x- and y-coordinates of the given point, respectively, and solve for b.

y = x + b

2 = 5 + b

b = -3

Now that we know b is -3, we replace b with -3

y = x - 3

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A sample of 16 small bags of the same brand of candies was selected. Assume that the population distribution of bag weights is n
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Answer:

i) 2 - 1.64 \frac{0.1}{\sqrt{16}}= 1.959  

2 + 1.64 \frac{0.1}{\sqrt{16}}= 2.041  

So then the 90% confidence interval is given by (1.959, 2.041)

ii) Figure attached

iii) ME= 1.64 *\frac{0.1}{\sqrt{16}}= 0.041

Step-by-step explanation:

Previous concepts

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 confidence interval is given by this formula:

\bar X \pm z_{\alpha/2} \frac{\sigma}{\sqrt{n}}}   (1)

And for a 90% of confidence the significance is given by \alpha=1-0.9=0.1, and \frac{\alpha}{2}=0.05. Since we know the population standard deviation we can calculate the critical value z_{0.05}= \pm 1.64

We know the folllowing data:

\bar X = 2 represent the sample mean

\sigma = 0.1 represent the population deviation

n =16 represent the sample size

Part i)

If we replace the values given into formula (1) we got:

2 - 1.64 \frac{0.1}{\sqrt{16}}= 1.959  

2 + 1.64 \frac{0.1}{\sqrt{16}}= 2.041  

So then the 90% confidence interval is given by (1.959, 2.041)

Part ii)

Figure attached. We have the illustration for the confidence interval obtained.

Part iii)

The margin of error is given by:

ME=z_{\alpha/2} \frac{\sigma}{\sqrt{n}}}

And if we replace we got:

ME= 1.64 *\frac{0.1}{\sqrt{16}}= 0.041

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<em><u>Find the tip amount</u></em>

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