It also means that any angle that is not marked could be acute, right, or obtuse. For example, if this diagram appears without further comment
<span>The
distance of Cincinnati going to Charlotte, North CA = 336 miles
The distance of Cincinnati going to Chicago Illinois = 247 miles
Now, Let A = Charlotte, B = Cincinnati and C = Chicago. We assigned a variable
to each places to make our illustration simple.
Perry, came from Charlotte, she’s going to Chicago via Cincinnati:
A ------------------------------------------------- B = 336 miles
B ------------------------------------------------- C = 247 miles
A ------------------------------------------------- C = (A-B) + (B-C)
=> 336 + 247
=> 583 miles.</span>
Answer:
y=3/5x-1
Step-by-step explanation:
The formula you need to find this would be
(y-y1)=m(x-x1)
The y1 is your y point.
The x1 is your x point.
m is your slope.
Start by plugging in your numbers that they provide you.
(y-8)=3/5(x-15)
Now you need to distribute the slope to the terms inside the parenthesis next to it.
3/5(x)=3/5x
3/5(-15)= -9 Now you put those back into the equation.
(y-8)=3/5x-9
At this point you can get rid of the parenthesis around the y-8 since it is basically saying to take the term times 1.
To get y alone we not need to add 8 to both sides.
y-8=3/5x-9
+8 +8
y=3/5x-1
The equation of the tangent line is 
To find the tangent to the hyperbola
at (x₀, y₀), we differentiate the equation implicitly to find the equation of the tangent at (x₀, y₀).
So, 
So, at (x₀, y₀)

So, the equation of the tangent line is gotten from the standard equation of a line in point-slope form
So, 
So, the equation of the tangent line is 
Learn more about equation of tangent line here:
brainly.com/question/12561220
Answer: B) type II error
Step-by-step explanation: whenever hypothesis test is performed it is not possible to be 100% certain about the conclusion or decision made, hence their must be a level of confidence for the conclusion made.
The level of significance (α) usually takes the lower percentage of the area of distribution.
When you reject the null hypothesis instead of accepting it, you commit a type I error, the probability of committing this error is the level of significance (α).
When you accept the null hypothesis when you are suppose to reject it, you commit a type II error and the probability of committing this error is confidence level (β) which is (1- α)