Round 0.051866 to 2 significant figure

What is the difference between online school and in-person

geniusboy [140]

Answer:

The difference between online school and in person school is that online is online and inperson is in person.

Step-by-step explanation:

7 0

2 years ago

Read 2 more answers

I

iren2701 [21]

Answer:

The distance between points A and B is 13

Step-by-step explanation:

We need to find distance between points A and B

Looking at the graph,

Point A : (2,6) and Point B: (-3,-6)

We need to find the distance between these points.

The formula used is: $Distance=\sqrt{(x_2-x_1)^2+(y_2-y_1)^2} \\$

We have Points A : (2,6) and B: (-3,-6)

So, $x_1=2, y_1=6, x_2=-3, y_2=-6$

Putting values in formula and finding distance

$Distance=\sqrt{(x_2-x_1)^2+(y_2-y_1)^2} \\\\Distance=\sqrt{(-3-2)^2+(-6-6)^2} \\Distance=\sqrt{(-5)^2+(-12)^2} \\Distance=\sqrt{25+144} \\Distance =\sqrt{169}\\Distance = 13$

So, the distance between points A and B is 13

6 0

3 years ago

-2w(w+8) what is the answer

Julli [10]

-2w (w + 8)
Assuming that it is a polynomial from which you must find the roots, we must first rewrite it:
-2w (w + 8) = 0
The roots are then:
w1 = 0
w2 = -8
Assuming you only have to rewrite the expression, the answer is:
-2w ^ 2 -16w
Answer:
w1 = 0
w2 = -8
-2w ^ 2 -16w

5 0

2 years ago

Explain how connecting digits to the right of the decimal point helps you multiply decimals.

Alex787 [66]

answer:

the decimal point shifts to the right to represent each multiplication by 10

Step-by-step explanation:

an example is 1.23*10

would give you 12.3 and if you multiply it by 100 it would give you 123

5 0

3 years ago

In a simple regression analysis for a given data set, if the null hypothesis β = 0 is rejected, then the null hypothesis ρ = 0 i

kati45 [8]

Answer:

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 degrees of freedom

And the statistic to check the significance of a coeffcient in a regression is given by:

$t_1 = \frac{\hat{\beta_1} -0}{S.E (\hat{\beta_1})}$

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:

Always

Step-by-step explanation:

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 degrees of freedom

And the statistic to check the significance of a coeffcient in a regression is given by:

$t_1 = \frac{\hat{\beta_1} -0}{S.E (\hat{\beta_1})}$

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:

Always

4 0

2 years ago