Correct option is B)
Cross-multiplication is helpful in Solving proportions.
<h3>What is Solving Proportions?</h3>
Solving proportions is simply a matter of stating the ratios as fractions, setting the two fractions equal to each other, cross-multiplying and solving the resulting equation.
<h3>What are the 2 methods for solving proportions?</h3>
Method I: Draw a double-sided number line, label the parts, set up a proportion and solve.
Method II: Using any method, calculate unit rate and then calculate how many pounds you can get for $30. Method III: Graph a point to represent the original ratio.
<h3>
What is the rule for solving proportions?</h3>
The product of the means is equal to the product of the extremes.
Learn more about solving proportions here: brainly.com/question/14752332
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I understand the the question you are looking for is :
Cross-multiplication is helpful in:
a. quadratic equations
b. solving proportions
c. linear equations
d. word problems
please select the best answer from the choices provided a b c d
Answer:
You answer would be option B
Step-by-step explanation:
You would have to open parenthesis/distribute 4 by multiplying it by x and 8 which are inside the parenthesis.
One scenario
The first person chosen wins a dollar, the next five dollars, the next ten and the fourth fifty.
I imagine you want iterations, because you care who wins what. But you haven’t told me how many people are in your family, whether anyone is allowed to win twice, whether the rules preclude something like two girls winning in a row, or anything else required to do that particular calculation.
The answer would be, y=-x+2
Answer:
P(A|D) and P(D|A) from the table above are not equal because P(A|D) = and P(D|A) =
Step-by-step explanation:
Conditional probability is the probability of one event occurring with some relationship to one or more other events
.
P(A|D) is called the "Conditional Probability" of A given D
P(D|A) is called the "Conditional Probability" of D given A
The formula for conditional probability of P(A|D) = P(D∩A)/P(D)
The formula for conditional probability of P(D|A) = P(A∩D)/P(A)
The table
↓ ↓ ↓
: C : D : Total
→ A : 6 : 2 : 8
→ B : 1 : 8 : 9
→Total : 7 : 10 : 17
∵ P(A|D) = P(D∩A)/P(D)
∵ P(D∩A) = 2 ⇒ the common of D and A
- P(D) means total of column D
∵ P(D) = 10
∴ P(A|D) =
∵ P(D|A) = P(A∩D)/P(A)
∵ P(A∩D) = 2 ⇒ the common of A and D
- P(A) means total of row A
∵ P(A) = 8
∴ P(D|A) =
∵ P(A|D) =
∵ P(D|A) =
∵ ≠
∴ P(A|D) and P(D|A) from the table above are not equal
Step-by-step explanation: