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Feliz [49]
2 years ago
12

Charlene has four -0.5 cards. What is the total value of her cards?

Mathematics
1 answer:
e-lub [12.9K]2 years ago
5 0

Answer:

-2

Step-by-step explanation:

4 × -0.5 = -2

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Y = 2x + 3<br> y = -2x + 15<br> Can you please explain how to get the answer.
-Dominant- [34]

Answer:

x = 3 and y = 9

Step-by-step explanation:

Given:

y = 2x + 3 .......................... equation i

y = -2x + 15 ........................ equation ii

since y is equals to the two functions , we can equate the two values of y . That is , equate equation i and ii , we have

2x + 3 = -2x + 15

Add 2x to both sides , we have

2x + 2x + 3 = -2x + 2x + 15

4x + 3 = 15

subtract 3 from both sides , we have

4x = 12

divide both sides by 4 , then

x = 3

substitute x = 3 into equation i to get the value of y , that is

y = 2(3) +3

y = 6 + 3

y = 9

Therefore :

x = 3 and y = 9

4 0
3 years ago
Read 2 more answers
An art teacher has 24 girls and 40 boys at a soccer camp. The campers will be divided into equal-sized groups. Each group will h
tresset_1 [31]
8 groups is what i suppose
Hope this helps!!! ;-)
5 0
3 years ago
Combining Volume Help<br><br> What #'s do I multiply to find the volume
LuckyWell [14K]
1st part: 3x9x3
2nd part: 3x6x9
3rd part: add the product of those two steps

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5 0
3 years ago
30π cm3<br><br><br> 35π cm3<br><br><br> 40π cm3<br><br><br> 45π cm3
dezoksy [38]
In this question, the volume of the cone is needed. The equation used to determine the volume of the cone is (1/3)π(r²)h
To solve for the volume, 
V = (1/3)π(3²)(10)
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   = (3)(10)π
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The correct answer is the first option which is 30π cm³.
8 0
3 years ago
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The distribution function of the univariate random variable x is continuous at x if and only if p(x
sweet-ann [11.9K]

The distribution function of the univariate random variable x is continuous at x if and only if , F (x) = P (X ≤ x)

Continuous univariate statistical distributions are functions that describe the likelihood that a random variable, say, X, falls within a given range. Let P (a Xb) represent the probability that X falls within the range [a, b].

A numerically valued variable is said to be continuous if, in any unit of measurement, whenever it can take on the values a and b. If the random variable X can assume an infinite and uncountable set of values, it is said to be a continuous random variable.

If X can take any specific value on the real line, the probability of any specific value is effectively zero (because we'd have a=b, which means no range). As a result, continuous probability distributions are frequently described in terms of their cumulative distribution function, F(x).

To learn more about univariated data

brainly.com/question/13415579

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7 0
1 year ago
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