Answer:
y - 8 = (3/2)(x + 4)
Step-by-step explanation:
As we move from (-4, 8) to (2, -1), x increases by 6 (this is the run) and y decreases by 9 (this is the "rise"). Thus, the slope is
m = rise / run = 9/6, or 3/2.
Using the point-slope form of the equation of a straight line, we get:
y - 8 = (3/2)(x + 4)
Answer:
Step-by-step explanation:
since the question does not have a given slope you can just put the point into the point slope formula y-y1 = m(x-x1)
y-5 = m(x-(-2))
y-5 = m(x+2)
since the slope is not given, leave it like that
Answer:

Step-by-step explanation:
When making a right triangle with 2 points, the distance is the hypotenuse which can be represent as "x"
To find the distance we can use the Pythagorean theorem.

→ 
→ 
→ 
<u>Let's Plug in the side lengths:</u>
<u>Evaluate 9²= </u><u>81</u><u> and 2²= </u><u>4</u><u>:</u>
<u>Now, add 81+4= 85</u>
<u>Take the square root of both sides:</u>
_____________________________
If you are looking for how to turn that worded problem into an equation...
Heres the answer you're looking for
3x-11
Answer:
Step-by-step explanation:
The mean SAT score is
, we are going to call it \mu since it's the "true" mean
The standard deviation (we are going to call it
) is

Next they draw a random sample of n=70 students, and they got a mean score (denoted by
) of 
The test then boils down to the question if the score of 613 obtained by the students in the sample is statistically bigger that the "true" mean of 600.
- So the Null Hypothesis 
- The alternative would be then the opposite 
The test statistic for this type of test takes the form

and this test statistic follows a normal distribution. This last part is quite important because it will tell us where to look for the critical value. The problem ask for a 0.05 significance level. Looking at the normal distribution table, the critical value that leaves .05% in the upper tail is 1.645.
With this we can then replace the values in the test statistic and compare it to the critical value of 1.645.

<h3>since 2.266>1.645 we can reject the null hypothesis.</h3>