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gogolik [260]
2 years ago
7

3. Simplify: 13.6 - 4.1 - 3.8 + 6.7

Mathematics
2 answers:
Art [367]2 years ago
5 0

Answer:

12.4 is the answer

=13.6+6.7-4.1-3.8

=20.3-7.9

=12.4

nadezda [96]2 years ago
3 0
12.4 is the answer to this question
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PLEASE HELP! Do the angles stay the same degrees when the shape is reduced or enlarged?
stira [4]
Well....if the triangle shape stays the same then the angle stays the same even if its enlarged in size. It will stay the same because you didn't change the way the shpae looks like, it is just zoomed in.

Answer: The angle measurements stay the same when the figure is enlarged or reduced
5 0
3 years ago
Can someone please help me I will be forever grateful
Dominik [7]

Answer:

66 feet

Step-by-step explanation:

30+30=30 feet

6+6=12 yards

1 yard=3 feet

12*3=36

30+36=66

5 0
3 years ago
the peach festival charges $5 for admission then$1.25 per pound of peaches picked. If Savanna went to the festival and picked 2.
Mumz [18]

Answer:

I'm glad you asked!

Step-by-step explanation:

So let's do it step by step.

Already she has to pay $5 for going in.

She has 2 whole pounds.

1.25 x 2=2.5 or 2 \frac{1}{2}

Add $5 and $ 2.5 .

5+2.5 = 7.5

Now let's do $1.25 divided by 10.

$$1.25 divided by $10 =0.125

Now let's do 0.125 times 4

0.125 x 4 = 0.5

Now let's add 7.5 to 0.5

7.5+0.5=8

4 0
2 years ago
Find the range of ƒ(x) = 3g – 5 for the domain {–1.5, 2, 4}
timofeeve [1]
-1.5 ------ f(x) = 3(-1.5) - 5
= -4.5 -5
= 9.5

2 -------- f(x) = 3(2) - 5
= 6 -5
= 1

4 -------- f(x) = 3(4) - 5
= 12 - 5
= 7
(9.5, 1 , 7)
6 0
3 years ago
Suppose the correlation between height and weight for adults is 0.80. What proportion (or percent) of the variability in weight
gulaghasi [49]

Answer: 64% of the variability in weight can be explained by the relationship with height.

Step-by-step explanation:

  • In statistics, Correlation coefficient is denoted by 'r' is a measure of the strength of the relationship between two variables.
  • Coefficient of determination, r^2, is a measure of variability in one variable can be explained variation in the other.

Here, r= 0.80

\Rightarrow\ r^2= (0.80)^2=0.64

That means 64% of the variability in weight can be explained by the relationship with height.

8 0
3 years ago
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