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Aleks [24]
3 years ago
7

What is the value of x in the equation 3x-4y=65, when y=4?

Mathematics
2 answers:
irina [24]3 years ago
7 0

Answer:

Step-by-step explanation:

-4 x 4=-16 so you add the 16 to the 65 and get 81 so then you divide the 3 from the x so it would be 81/3=27

Softa [21]3 years ago
5 0

Answer:

\boxed{ \bold{ \huge{ \boxed { \sf{x = 27}}}}}

Step-by-step explanation:

Given, value of y = 4

To find : Value of x

\sf{3x - 4y = 65}

plug the value of y

\dashrightarrow{ \sf{3x - 4 \times 4 = 65}}

Multiply the numbers : 4 and 4

\dashrightarrow{ \sf{3x - 16 = 65}}

Move 16 to right hand side and change it's sign

\dashrightarrow{ \sf{3x = 65 + 16}}

Add the numbers : 65 and 16

\dashrightarrow{ \sf{3x = 81}}

Divide both sides by 3

\dashrightarrow{ \sf{ \frac{3x}{3}  =  \frac{81}{3} }}

Calculate

\dashrightarrow{ \sf{ x = 27}}

Hope I helped!

Best regards! :D

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Vitek1552 [10]
8x-y=2  ---> y=8x-2
5x-4y=3

5x-4(8x-2)=3
5x-32x+8=3
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8(5/27)-y=2
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6 0
3 years ago
For what value of X is the rational expression below equal to zero
stealth61 [152]

Answer:

2

Step-by-step explanation:

Step-by-step explanation:

if you divide 0 by any number you will get 0!!!

if you will substitute x for 2 you will have:

2-2/2+2 = 0/4 = 0

3 0
3 years ago
Question number 7 Give a reasonable domain and range for the function in this context
alina1380 [7]

Answer: D: [0, ∞)  

              R: [0, ∞)

Step-by-step explanation:

f(x) = 1.5x

  • x is the number of bottles
  • f(x) is the cost

Domain is the x-values.  The least amount of bottles you can buy is 0 and the most you can buy is infinite <em>(technically you can only buy the amount you can afford and the amount the store has to sell but for mathematical purposes you can buy an infinite amount)</em>

So, the domain (D) is x = 0 to ∞ → D: [0, ∞)

Range is the y-values. The least and most amounts are based on the domain. Since the smallest x-value is 0, input that value into the equation to solve for f(x).  Similarly, input the greatest x-value to solve for f(x).

f(x) = 1.5(0)

     = 0

f(x) = 1.5(∞)

     = ∞

So, the range (R) is f(x) = 0 to ∞ → R: [0, ∞)

3 0
4 years ago
105. Suppose that the probability that an adult in America will watch the Super Bowl is 40%. Each person is considered independe
Ainat [17]

Answer:

a. X is the number of adults in America that need to be surveyed until finding the first one that will watch the Super Bowl.

b. X can take any integer that is greater than or equal to 1. \rm X\in \mathbb{Z}^{+}.

c. \rm X \sim NB(1, 0.40).

d. E(\rm X) = 2.5.

e. P(\rm X = 7) = 0.0187.

f. P(\text{X} = 3) +P(\text{X} = 4) = 0.230.

Step-by-step explanation:

<h3>a.</h3>

In this setting, finding an adult in America that will watch the Super Bowl is a success. The question assumes that the chance of success is constant for each trial. The question is interested in the number of trials before the first success. Let X be the number of adults in America that needs to be surveyed until finding the first one who will watch the Super Bowl.

<h3>b.</h3>

It takes at least one trial to find the first success. However, there's rare opportunity that it might take infinitely many trials. Thus, X may take any integer value that is greater than or equal to one. In other words, X can be any positive integer: \rm X\in \mathbb{Z}^{+}.

<h3>c.</h3>

There are two discrete distributions that may model X:

  • The geometric distribution. A geometric random variable measures the number of trials before the first success. This distribution takes only one parameter: the chance of success on each trial.
  • The negative binomial distribution. A negative binomial random variable measures the number of trials before the r-th success. This distribution takes two parameters: the number of successes r and the chance of success on each trial p.

\rm NB(1, p) (note that r=1) is equivalent to \sim Geo(p). However, in this question the distribution of \rm X takes two parameters, which implies that \rm X shall follow the negative binomial distribution rather than the geometric distribution. The probability of success on each trial is 40\% = 0.40.

\rm X\sim NB(1, 0.40).

<h3>d.</h3>

The expected value of a negative binomial random variable is equal to the number of required successes over the chance of success on each trial. In other words,

\displaystyle E(\text{X}) = \frac{r}{p} = \frac{1}{0.40} = 2.5.

<h3>e.</h3>

P(\rm X = 7) = 0.0187.

Some calculators do not come with support for the negative binomial distribution. There's a walkaround for that as long as the calculator supports the binomial distribution. The r-th success occurs on the n-th trial translates to (r-1) successes on the first (n-1) trials, plus another success on the n-th trial. Find the chance of (r-1) successes in the first (n-1) trials and multiply that with the chance of success on the n-th trial.

<h3>f.</h3>

P(\text{X} = 3)+P(\text{X} = 4) = 0.230.

3 0
3 years ago
Joni’s hair is 13 inches long and grows at an average rate of ⅔ in per month. Her friend Kate’s hair is 16 inches long and grows
ale4655 [162]

Answer:

18

Step-by-step explanation:

13 + (⅔)t = 16 + (½)t

(⅔ - ½)t = 3

t/6 = 3

t = 18

6 0
4 years ago
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