The 1st graph has vertex in (-3, -3) which can be translated into
Horizontal shift left 3
Vertical shift down 3
Other than that, the graph shows y=x^2 so it wasn't compressed or stretched
The 2nd graph has vertex in (0, 0) which mean there is no vertical and horizontal shift. But the graph is facing down and it was slimmer than y=x^2 graph. When x=1, the result is y=3 which was 3 times more than it supposed to be.
The graph must be:
Reflection across x-axis
Vertical stretch of 3
The 3rd graph has vertex in (3, -3) which can be translated into
Horizontal shift right 3
Vertical shift down 3
Same as the 1st graph, the 3rd graph shows y=x^2 so it wasn't compressed or stretched.
Answer:
I think it's 0.648
Step-by-step explanation:
10% of 4% of 162 = 0.648
Factors of the given expression are 
Given expression is

<h3>What is a factor?</h3>
A factor is a number that divides another number completely.
Let us split the middle term as:

Therefore, factors of the given expression are 
To get more about factors visit:
brainly.com/question/9781037
28. Surface Area
This is some sort of house-like model so for every face we see there's a congruent one that's hidden. We'll just double the area we can see.
Area = 2 × ( [14×9 rectangle] + 2[15×9 rectangle]+[triangle base 14, height 6] )
Let's separate the area into the area of the front and the sides; the front will help us for problem 29.
Front = [14×9 rectangle] + [triangle base 14, height 6]
= 14×9 + (1/2)(14)(6) = 14(9 + 3) = 14×12 = 168 sq ft
OneSide = 2[15×9 rectangle] = 30×9 = 270 sq ft
Surface Area = 2(168 + 270) = 876 sq ft
Answer: D) 876 sq ft
29. Volume of an extruded shape is area of the base, here the front, times the height, here 15 feet.
Volume = 168 * 15 = 2520 cubic ft
Answer: D) 2520 cubic ft
Answer:
The given probability distribution is a discrete probability distribution.
Step-by-step explanation:
We are given the following in the question:
x: 3 4 7
P(X=x): 0.19 0.3 0.51
Property of discrete probability distribution:

If the given probability distribution satisfies this property then, it is a discrete probability distribution.

Thus, it satisfies the property for a discrete probability distribution.
Thus, the given probability distribution is a discrete probability distribution.