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Amiraneli [1.4K]
1 year ago
12

PLS HELP ASAP THANKS ILL GIVE BRAINLKEST PLS THANKS PLS

Mathematics
1 answer:
kirill [66]1 year ago
4 0
The answer should be (6,-1)

Explanation:

Focus on point A since it's asking for that. Then, shift it down vertically -8.

This means you are shifting A down 8 units.

Then they ask for a reflection across the y-axis. The y-axis is the vertical line in the middle, so to do this transformation, just change the x-value of where A is to the opposite.
You might be interested in
What is the image of the point (4,7) after a reflection about the line y = 4.?
lord [1]

Answer:

(4, 1)

Step-by-step explanation:

See attachment courtesy of Desmos.

8 0
2 years ago
Is this right
pychu [463]

Answer:

360 = x+123+ 90

x = 147

Step-by-step explanation:

The three angles form a circle which is 360 degrees

360 = x+123+ 90

Subtract 123 and 90 from each side

360 -123 - 90 = x

147 = x

6 0
3 years ago
Read 2 more answers
The average weight of the entire batch of the boxes of cereal filled today was 20.5 ounces. A random sample of four boxes was se
zhenek [66]

Answer:

s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And replacing we got:

s= 0.286

And then the estimator for the standard error is given by:

SE= \frac{0.286}{\sqrt{4}}= 0.143

Step-by-step explanation:

For this case we have the following dataset given:

20.05, 20.56, 20.72, and 20.43

We can assume that the distribution for the sample mean is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error for this case would be:

SE= \frac{\sigma}{\sqrt{n}}

And we can estimate the deviation with the sample deviation:

s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And replacing we got:

s= 0.286

And then the estimator for the standard error is given by:

SE= \frac{0.286}{\sqrt{4}}= 0.143

4 0
3 years ago
For an increase of one hour in the time spent texting, what is the predicted decrease in the time spent exercising?
BartSMP [9]
Um that is a hard one

Idk








4 0
3 years ago
What is the equation of the line of best fit for this data
77julia77 [94]

Answer:

y = 0.96x + 0.57


6 0
2 years ago
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