Answer:
All of these terms are dollar amounts.
Step-by-step explanation:
Here, x + y = 10 (where these numerals represent counts)
(1/2)x + (1/4)y = 4 (where (1/2), (1/4) and 4 are dollar amounts)
Let's eliminate y. To accomplish this, mult. the 2nd eq'n by-4, obtaining
-2x - y = -16, and then combining this with the 1st equation, as follows:
-2x - y = -16
x + y = 10
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-x = -6, or x = 6. This represents the number of pens purchased by Terrance.
Subbing 6 for x in the first equation, we get y = 4. This represents the number of pencils he bought.
($0.50)x + ($0.25)y = $4.00 (dollar amounts)
Leg * /2 = hypotenuse
Hypotenuse divided by /2 = leg
12 divided by /2
Rationalize denominator:
12 * /2 divided by by /2 * /2
Simplify denominator:
12 * /2 divided by 2
Simplify:
6 * /2 or 4.24
Both x and y because it’s a 45-45-90 triangle
Answer:
The answer to your question is A = 648 u²
Step-by-step explanation:
I attach the solution because it said that I was writing improper words.
- Relationship between the variables are
- (a) As the age increases, the height increases.
- No relationship between variables.
- (a) As the age increases, height decreases.
- (b) As the height decreases, the age decreases.
Step-by-step explanation:
- If visually found a child born till his age of elder he has increased.
- It is clearly true that as the age increases height increases.
- Child is born at some point of time with a particular height.
- It is never an association between age increases and height reduces.
- Age is again started at some point of time, it cannot decrease.
- After descriptive statistics there something called predictive.
- Describing the data is one way of understanding statistics.
- It is mean,median mode where the particularly number stands.
- Predictive is the next stage an association of variables.
- Variables are very important in analysis it basically attribution.
- In order to find any analyse test studies are important variables to.
Answer:
Answer is a continuous random variable x the height of the function named the probability density function f(x)
Step-by-step explanation:
A continuous random variable takes infinite number of possible values.
example include height , weight amount of sugar in an orange time required to run a mile.
Continues random variable named probability function f(x).