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elena-s [515]
3 years ago
9

Help high school geometry. Will give brainliest.

Mathematics
1 answer:
Dominik [7]3 years ago
6 0
I’m not sure think it’s a I’m sorry I tried
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Help me somebody pelade
RUDIKE [14]

Answer: Step-by-step explanation:

y = -7x + 8

X y

-4 36

-2 22

0 8

2 -6

4 -20

8 0
3 years ago
If a=10, What is a/ 2 plus 9​
makkiz [27]

Answer:

a=14

Step-by-step explanation:

if a=10, 10/2 = 5 plus 9 = 14

5 0
3 years ago
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shusha [124]

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B

Step-by-step explanation:

7 0
3 years ago
If a sprinkler rotated 90˚, paused, and then rotated another 90˚, how many degrees
Yanka [14]

Answer:

180°

Step-by-step explanation:

Since a sprinkler rotates 90°, pauses,and then rotates another 90°

So, here total degrees be like

= 90° + 90°

= 180°

hence, The number of degrees did it rotate altogether should be considered as the 180 degrees.

3 0
2 years ago
A. Student study times. A class survey in a large class for first-year college students asked, "About how many hours do you stud
insens350 [35]

Answer:

A.  12.68 - 14.72 hours

B. Normal distribution.

Step-by-step explanation:

Part A

This question is using quantitative data. A 99% confidence interval means that you want to know the range where 99% of the population will be. To find this you have to convert the 99% CI into the z-score which is -2.58SD to + 2.58SD.  

Note that the standard deviation(SD) is from the sample, not the population. We still need to find the standard deviation of the population. The formula is:

population SD = \frac{o}{\sqrt[]{n} }

Where the o= sample SD = 7.4

n= number of sample = 463

The calculation will be:

population SD = \frac{o}{\sqrt[]{n} }

population SD = \frac{7.4}{\sqrt[]{463} }= 0.3951

The bottom limit will be:

Mean - SD * z-score= 13.7 - 0.3951*2.58 = 12.68 hours

The upper limit will be:

Mean + SD * z-score= 13.7 + 0.3951*2.58 =14.72 hours

The 99% CI range will be 12.68 - 14.72 hours

Part B

The table used to convert confidence interval into z-score depends on the distribution type of the data. Most data is classified as normal distributed, a data type that will concentrated at mean and spread equally from the mean. Normal distribution data will look like a bell which make it also called bell curve.  

The question tells you that the data is normal distribution, but that doesn't mean every data is normally distributed. There are a lot of other data distribution type so we have to do some tests to know the normality of the data in real-life data.

4 0
3 years ago
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