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3 years ago

11

Could you give me an example of a linear equation with a variable on both sides of the equal sign? Please don't look one up. You

don't have to give the answer to the equation. It can only have one solution.

2 answers:

lisov135 [29]3 years ago

6 0

Answer:

4x + 6 = x

5x + 8 = x

Ilya [14]3 years ago

5 0

Answer:

x + 4 - 2 = 4x - 6 + 1

Step-by-step explanation:

You might be interested in

A six-foot-tall person walks from the base of a broadcasting tower directly toward the tip of the shadow cast by the tower. When

zhuklara [117]

Answer:

270 feet

Step-by-step explanation:

For clarity, the image below represents the problem. Let's call h the height of the tower. Notice that it forms 2 triangles that are similar to side-angle-side. So, we can calculate the higher of the tower by similar triangles:

higher1/base1 = higher2/base2

h/135 = 6/3

h/135 = 2

h = 270 ft

8 0

3 years ago

New York City gift shop sells miniature Statue of Liberty sculptures that are 7.8 inches tall. the scale of the model to the act

Natasha_Volkova [10]

The correct answer is 151

8 0

3 years ago

Read 2 more answers

a sock drawer has 6 white socks, 6 brown socks, and 4 black socks. you randomly pick 2 socks and get a matching pair of black so

klasskru [66]

Answer:

1/20

Step-by-step explanation:

Remark: Not huge

Total number of Socks: 6 + 6 + 4 = 16

P(First Black Sock): 4/16 = 1/4

The second Sock needs to be discussed a bit. The number of black socks has gone down to 1 and the total will always go down by 1.

Second Sock: 3 Black / 15 Total = 3/15 = 1/5

Combined Probability: 1/4 * 1/5 = 1/20

5 0

3 years ago

Suppose a certain type of fertilizer has an expected yield per acre of mu 1 with variance sigma 2, whereas the expected yield fo

mart [117]

Answer:

See the proof below.

Step-by-step explanation:

For this case we just need to apply properties of expected value. We know that the estimator is given by:

$S^2_p= \frac{(n_1 -1) S^2_1 +(n_2 -1) S^2_2}{n_1 +n_2 -2}$

And we want to proof that $E(S^2_p)= \sigma^2$

So we can begin with this:

$E(S^2_p)= E(\frac{(n_1 -1) S^2_1 +(n_2 -1) S^2_2}{n_1 +n_2 -2})$

And we can distribute the expected value into the temrs like this:

$E(S^2_p)= \frac{(n_1 -1) E(S^2_1) +(n_2 -1) E(S^2_2)}{n_1 +n_2 -2}$

And we know that the expected value for the estimator of the variance s is $\sigma$ , or in other way $E(s) = \sigma$ so if we apply this property here we have:

$E(S^2_p)= \frac{(n_1 -1 )\sigma^2_1 +(n_2 -1) \sigma^2_2}{n_1 +n_2 -2}$

And we know that $\sigma^2_1 = \sigma^2_2 = \sigma^2$ so using this we can take common factor like this:

$E(S^2_p)= \frac{(n_1 -1) +(n_2 -1)}{n_1 +n_2 -2} \sigma^2 =\sigma^2$

And then we see that the pooled variance is an unbiased estimator for the population variance when we have two population with the same variance.

8 0

3 years ago

A) Write the exponential equation to represent a house purchased for

dsp73

Answer:

= A(t) = 120000(1.06)^t t = 1 year

We just add ^12 to equal 1/12 months.

Then use the notation below.

Step-by-step explanation:

We simply want to write an equivalent form of the same equation that will allow for the time period to be calculated in years.

For one year, t = 1, we want it to grow 6% = 1.06

Yearly Rate of Growth annual equation: = 7200

P(i) 7200/ 120000 x 100% = 6% per year growth rate

the yearly growth factor is 1 + appreciation rate = 1+i =1+0.06= 1.06

So time in years can be added to t

= A(t) = 120000(1.06)^t t = 1 year

The yearly growth factor = 1.06

To equate monthly we add the exponent t*12*1/12 before 120000(1.06)^t

then add 1/12 to replace ^t = monthly, or just keep the t= time

A(t) = 120000(1.06)^12t

4 0

3 years ago