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3 years ago

Helppppppppppppp pleaseeeeeeeeeeeeeeee

Mathematics

1 answer:

strojnjashka [21]3 years ago

4 0

Answer:

The answer would be b, 8:13

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Evaluate the expression when x= -3.<br> x² – 7x+6

aksik [14]

Answer:

-6

Step-by-step explanation:

$3^{2}$ = -3 × -3

-3 × -3 = 9

7 × -3 =-21

9 - 21 +6 = -6

7 0

3 years ago

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What are the right choices

MA_775_DIABLO [31]

Answer:

(0.1,1.1)

Step-by-step explanation:

we have

$f(x)=3^{x}$

$g(x)=-log(x)$

Solve the system of equations by graphing

The solution is the intersection point both graphs

The solution is the point (0.081,1.093)

see the attached figure

Round to the nearest tenth ----> (0.1,1.1)

6 0

3 years ago

What does x equal in this problem

IgorLugansk [536]

Answer:

i think 9

Step-by-step explanation:

45/5 is 9 so hope thus helps

6 0

3 years ago

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What is 5 3/8- 2 7/8

ella [17]

Answer:

2 1/4

Step-by-step explanation:

3 0

3 years ago

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Suppose a large shipment of microwave ovens contained 12% defectives. If a sample of size 474 is selected, what is the probabili

melisa1 [442]

Answer:

$P(\hat p>0.14)$

And using the z score given by:

$z = \frac{\hat p -\mu_p}{\sigma_p}$

Where:

$\mu_{\hat p} = 0.12$

$\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149$

If we find the z score for $\hat p =0.14$ we got:

$z = \frac{0.14-0.12}{0.0149}= 1.340$

So we want to find this probability:

$P(z>1.340)$

And using the complement rule and the normal standard distribution and excel we got:

$P(Z>1.340) = 1-P(Z$

Step-by-step explanation:

For this case we have the proportion of interest given $p =0.12$ . And we have a sample size selected n = 474

The distribution of $\hat p$ is given by:

$\hat p \sim N (p , \sqrt{\frac{p(1-p)}{n}})$

We want to find this probability:

$P(\hat p>0.14)$

And using the z score given by:

$z = \frac{\hat p -\mu_p}{\sigma_p}$

Where:

$\mu_{\hat p} = 0.12$

$\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149$

If we find the z score for $\hat p =0.14$ we got:

$z = \frac{0.14-0.12}{0.0149}= 1.340$

So we want to find this probability:

$P(z>1.340)$

And using the complement rule and the normal standard distribution and excel we got:

$P(Z>1.340) = 1-P(Z$

4 0

4 years ago