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3 years ago

Helps me solve this problem please

Mathematics

1 answer:

Kitty [74]3 years ago

5 0

Answer:

D. An infinite number of solutions

Step-by-step explanation:

The reason is because it doesn't equal anything.

2(x-5)=4x-2x-10

2x -10= 2x-10 ( You add the -2 plus the 4)

-2x -2x

0x -10= 0 -10

+10 +10

0x = 0

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SOLVE FOUR AND FIVE I WILL GIVE BRAINLIST!

asambeis [7]

Answer:

see explanation

Step-by-step explanation:

The circumference (C) of a circle is calculated as

C = πd ( d is the diameter )

(4)

Here d = 18, thus

C = 18π in

(5)

Here C = 50π, thus

πd = 50π ( divide both sides by π )

d = 50 in

The radius r is one half of the diameter , thus

r = 50 ÷ 2 = 25 in

6 0

3 years ago

Find the area of the largest circle that can be inscribed inside a square whose diagonal is 5" ( with explanation )

sweet-ann [11.9K]

Answer:

19.625

Step-by-step explanation:

If the square's diagonal is 5 and the circle is inscribed in it, that means that the radius is 2.5

2.5^2*3.14

=19.625

6 0

3 years ago

A scatterplot has a positive, linear correlation. Which statement is true about the relationship between the x- and y-values?

Yuki888 [10]

B. As the x-values increase, the y- valuebtend to decrease.

5 0

3 years ago

Read 2 more answers

Nick and eddie are both thinking of a number. Eddies number is 3/7 of nicks number. There is a difference of 52 between their tw

joja [24]

Answer:

nick's number = 91

eddie's number = 39

Step-by-step explanation:

n = nick's number

$\frac{3}{7}$ n = eddie's number

$\frac{7}{7}$ n - $\frac{3}{7}$ n = 52

$\frac{4}{7}$ n = 52

cross-multiply: 4n = 52(7)

4n = 364

n = 364/4 = 91

eddie's number: $\frac{3}{7}$ · 91 = 273/7 = 39

3 0

3 years ago

Which of the following statements is true of the correlation analysis? The null hypothesis for the Pearson correlation coefficie

ASHA 777 [7]

Answer:

In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:

Null hypothesis: $\rho =0$

Alternative hypothesis: $\rho \neq 0$

The statistic to check the hypothesis is given by:

$t=\frac{r \sqrt{n-2}}{\sqrt{1-r^2}}$

And is distributed with n-2 degreed of freedom. df=n-2=10-2=8

For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:

The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero

Step-by-step explanation:

Previous concepts

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

And in order to calculate the correlation coefficient we can use this formula:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

Solution to the problem

In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:

Null hypothesis: $\rho =0$

Alternative hypothesis: $\rho \neq 0$

The statistic to check the hypothesis is given by:

$t=\frac{r \sqrt{n-2}}{\sqrt{1-r^2}}$

And is distributed with n-2 degreed of freedom. df=n-2=10-2=8

For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:

The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero

4 0

3 years ago