Answer:
A Used Truck Would Go For Around $18,000
Step-by-step explanation:
A used truck would go for around $18,000.
The reason a used truck would go for around $18,000 dollars is because if a new truck costed $45,000, and a used truck usually goes for around 40% of that, all you have to do is multiply 45,000 by .40 to get 40% of 45,000.
So, in conclusion, a used truck would cost about $18,000 because 40% of $45,000 is $18,000.
None of them have a solution of x, but 5x=15, 7x-2=19, and 5x+6=21 all have the same answer of x=3
If you want the answer in point slope form then,
y-y1 = m(x-x1)
y-c = m(x-a)
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If you want the answer in slope intercept form, then solve for y
y-c = m(x-a)
y-c = mx-ma
y-c+c = mx-ma+c
y = mx-ma+c
y = mx+c-ma
y = mx+(c-ma)
For this answer in slope intercept form the slope is m and the y intercept is c-ma
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If you want the answer in standard form, then get the variable terms to the left side. Have the constant terms on the right side.
y = mx+c-ma
y-mx = mx+c-ma-mx
-mx+y = c-ma
Optionally you can multiply both sides by -1 to get mx-y = -c+ma but it will depend on your book if this step is carried out or not.
Answer: Choice B) 7/2 and choice D) 2
These two slope values are positive. Positive slopes correspond to lines that move uphill as you move from left to right.
A negative slope moves in the opposite direction. A slope of zero refers to a flat horizontal line. A slope of undefined means we have a vertical line.
Answer:
Stratified sampling technique(A)
Step-by-step explanation:
From the question, the population of an high school from which selection was made equals 461 sophomores, 328 juniors and 558 seniors.
35 sophomores, 69 juniors and 24 seniors are randomly selected. The technique used in selecting is Stratified sampling technique. This is because stratified sampling involves dividing the entire population into stratas and then selects a final sample randomly from the different strata. This means that a smaller part of the entire population is used as a sample in drawing conclusions for the entire population.
