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3 years ago

DUE IN 45 SECONDS ANSWER QUICK

Mathematics

2 answers:

butalik [34]3 years ago

5 0

Answer:

8 more than x means x plus 8 so basically 8 plus -14 if I'm not mistaken hope this helps!

nataly862011 [7]3 years ago

3 0

Answer:

y=8+x

x= -14

y=8-14=-6

hope it is right answer for it!!

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Would this be equal to 180? It's pretty easy.

svp [43]

Answer:

Yes you would set both equal to 180

so for example

(x-24)+3x=180

Then solve for x

8 0

3 years ago

What is (3x+2y)^2 ?mmmmmmmmmmmmmmmnnnnnnnmmmmm

Vikki [24]

(3x + 2y)^2

Use the FOIL method (first, outside, inside, last)

(3x + 2y) (3x +2y)

9x^2 +6xy +6xy +4y

9x^2 + 12xy + 4y is your answer.

3 0

3 years ago

Dividir 3 litros de leite entre 4 crianças.

vekshin1

3/4=3/4
Cada criança recebe 3/4 litros de leite.

7 0

4 years ago

The true average diameter of ball bearings of a certain type is supposed to be 0.05 in. A one-sample t-test will be carried out

satela [25.4K]

Answer:

a) H0: $\mu \leq \mu_o$

H1: $\mu > \mu_o$

n = 13 represent the sample size

$t = 1.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 13-1=12$

We can calculathe the p value with this formula:

$p_v = P(t_{12} >1.6) = 0.068$

Since $p_v >\alpha$ we fail to reject the null hypothesis on this case at 5% of significance.

b) H0: $\mu \geq \mu_o$

H1: $\mu < \mu_o$

n = 13 represent the sample size

$t = -1.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 13-1=12$

We can calculathe the p value with this formula:

$p_v = P(t_{12}$

Since $p_v >\alpha$ we fail to reject the null hypothesis on this case at 5% of significance.

c) H0: $\mu \geq \mu_o$

H1: $\mu < \mu_o$

n = 25 represent the sample size

$t = -2.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 25-1=24$

We can calculathe the p value with this formula:

$p_v = P(t_{24}$

Since $p_v$ we can reject the null hypothesis on this case at 1% of significance.

Step-by-step explanation:

Part a

For this case we assume that we are testing the following system of hypothesis

H0: $\mu \leq \mu_o$

H1: $\mu > \mu_o$

n = 13 represent the sample size

$t = 1.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 13-1=12$

We can calculathe the p value with this formula:

$p_v = P(t_{12} >1.6) = 0.068$

Since $p_v >\alpha$ we fail to reject the null hypothesis on this case at 5% of significance.

Part b

For this case we assume that we are testing the following system of hypothesis

H0: $\mu \geq \mu_o$

H1: $\mu < \mu_o$

n = 13 represent the sample size

$t = -1.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 13-1=12$

We can calculathe the p value with this formula:

$p_v = P(t_{12}$

Since $p_v >\alpha$ we fail to reject the null hypothesis on this case at 5% of significance.

Part c

For this case we assume that we are testing the following system of hypothesis

H0: $\mu \geq \mu_o$

H1: $\mu < \mu_o$

n = 25 represent the sample size

$t = -2.6$ represent the calculated statistic

The degrees of freedom are given by:

$df = n-1 = 25-1=24$

We can calculathe the p value with this formula:

$p_v = P(t_{24}$

Since $p_v$ we can reject the null hypothesis on this case at 1% of significance.

8 0

3 years ago

What this is square root of 164 divided by two

nikdorinn [45]

This would be your equation;
$\frac{ \sqrt{164} }{2}$

So first find the value of the square root;
$\sqrt{164} = 12.81$ (rounded to the nearest hundredth)

Next divide the decimal by 2;
12.81 ÷ 2 = 6.41(rounded to the nearest hundredth)

So your final answer would be; 6.41
Hope this helps! :D

7 0

4 years ago