Answer:
I was wondering if you could give me brainliest because I am almost to level ace! It would mean alot!
Step-by-step explanation:
Have a good day! :)
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:
one
Step-by-step explanation:
for general form : ax²+bx+c=0
delta = b²-4ac
so for this example delta is 8²-4×2×8 =0
we know if delta = 0 , we have just one real number solution
so the answer is 1
Answer:
8.4
Step-by-step explanation:
7 * 1.2 = 8.4
x= 8.4 then 8.4/1.2= 7
Answer:
Continuous random variable - The practically infinite number of possible values that a random variable can take on in an experiment
Random experiment - The process of observing the outcome of a random chance event
Probability - The number that quantifies the likelihood that a certain random event will happen
Sample space - All possible outcomes that can result from a random experiment
Variability - This exist when successive observations of a particular system variable or phenomenon do not produce the exact same result.
Statistical inference - The use of information from a sample to draw conclusions about the population
Sample mean - The most commonly used measure of central tendency of a distribution of data
Event - A subset of the sample space
Standard deviation - A measure of the extent to which the values in the data set differ from the mean
Outlier - An observation point that is distant from other observation.