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Bad White [126]

3 years ago

12

eliza is making seed bead necklace. For every 2 pink beads, she uses 7 black beeds. if the necklace has 112 black beads, how man

y pink beads are on the necklace?

1 answer:

tester [92]3 years ago

8 0

8 if not that then its 56 or i might be wrong but it seems right to me

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Consider the trianglular region with vertices (0,0) (6,0) and (0,6). find the x and y coordinates of the centroid

kondor19780726 [428]

Let A=(0,0)(x₁,x₂), B=(6,0)(x₂,y₂) and C=(0,6)(x₃,y₃)

Centroid of ΔABC is given by,

G(x,y) = [x₁+x₂+x₃/3 , y₁+y₂+y₃/3] = [0+6+0/3 , 0+0+6/3] = [2,2]

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3 years ago

Help please .........

Sauron [17]

Answer: .

Step-by-step explanation:

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3 years ago

ASAP WILL GIVE BRAINLIEST!!! DO NOT USE PICTURES PLEASE Part A: Solve the equation 7x + 3x − 18 = 6(x + 3), and show your work.

Brrunno [24]

The answer is x=9 because (look at the picture)

7 0

4 years ago

Based on historical data, your manager believes that 26% of the company's orders come from first-time customers. A random sample

scoundrel [369]

Answer:

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

And we can use the z score formula given by:

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

And if we find the parameters we got:

$\mu_p = 0.26$

$\sigma_p = \sqrt{\frac{0.26(1-0.26)}{158}} = 0.0349$

And we can find the z score for the value of 0.4 and we got:

$z = \frac{0.4-0.26}{0.0349}= 4.0119$

And we can find this probability:

$P(z>4.0119) = 1-P(z$

And if we use the normal standard table or excel we got:

$P(z>4.0119) = 1-P(z$

Step-by-step explanation:

For this case we have the following info given:

$p = 0.26$ represent the proportion of the company's orders come from first-time customers

$n=158$ represent the sample size

And we want to find the following probability:

$p(\hat p >0.4)$

And we can use the normal approximation since we have the following two conditions:

1) np = 158*0.26 = 41.08>10

2) n(1-p) = 158*(1-0.26) = 116.92>10

And for this case the distribution for the sample proportion is given by:

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

And we can use the z score formula given by:

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

And if we find the parameters we got:

$\mu_p = 0.26$

$\sigma_p = \sqrt{\frac{0.26(1-0.26)}{158}} = 0.0349$

And we can find the z score for the value of 0.4 and we got:

$z = \frac{0.4-0.26}{0.0349}= 4.0119$

And we can find this probability:

$P(z>4.0119) = 1-P(z$

And if we use the normal standard table or excel we got:

$P(z>4.0119) = 1-P(z$

8 0

3 years ago

The product of 40 and 6,000 is .....

Natasha2012 [34]

Answer:

240000

You have you multiply 40*6,000=240000. So that is your answer.

4 0

2 years ago

Read 2 more answers