Answer:
9 = 1(7) + 2
So generally it is:
y = x + 2 (I think this is the answer your teacher wants)
Step-by-step explanation:
y = mx + b is the slope intercept form equation
you know that 9 is one of your y points, so you can plug it in (9 = mx + b)
you also know that 7 is an x point, so you can plug it in as well (9 = m(7) + b)
then you can plug in your slope because you know that as well (9 = 1(7) + b)
to find your intercept, subtract your y point from the x point since there is a slope of one (you can only do this for a slope of one) you will get two as your intercept (9 = 1(7) + 2) this is your exact equation with that one point, but to generalize it so you could find any point, you would write: y = x + 2 (you don't include the slope because it is just one)
Hope this helped!
:D
The answer should be D! I know this because 16 divided by 2 equals 8! So she makes 8 dollars per hour! I hope this helps
Answer:
<h2>
D.84</h2>
Step-by-step explanation:
<u>*It's an isosceles triangle so 2 of the angles are going to be the same degrees</u>
<u>*Every triangle is 180 degrees</u>
(48)+(48)=96 then 180-96=84
Answer:
1600 ml.
Step-by-step explanation:
Let x represent amount of tube-feeding formula.
We have been given that a tube feeding formula contains 6 grams of protein per each 80 ml of the formula.
To solve our given problem, we will use proportions as:
Therefore, the patient should get 1600 ml of tube feeding formula every day.
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
Yes, the large-sample confidence interval will be valid.
<h3>What is meant by normal distribution?</h3>
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
The normal distribution, also known as the Gaussian distribution, is a symmetric probability distribution about the mean, indicating that data near the mean occur more frequently than data far from the mean.
The confidence interval will be valid regardless of the shape of the population distribution as long as the sample is large enough to satisfy the central limit theorem.
<h3>
What does a large sample confidence interval for a population mean?</h3>
A sample is considered large when n ≥ 30.
By 'valid', it means that the confidence interval procedure has a 95% chance of producing an interval that contains the population parameter.
To learn more about normal distribution, refer to:
brainly.com/question/23418254
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