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melomori [17]
3 years ago
14

HELP

Mathematics
1 answer:
Scrat [10]3 years ago
8 0

Answer:

C

Step-by-step explanation:

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Find cos(ZA).<br> Choose 1 answer:
lbvjy [14]

Answer: option A. 24 / 25

Step-by-step explanation:

Cos (Z) = Adj / Hypo

Cos (Z) = 24 / 25

3 0
3 years ago
A square piece of plastic has a perimeter of 8 cm. how long is each side of the piece of plastic?​
Aleksandr-060686 [28]

Answer:

Step-by-step explanation:

Since it is a square, all four sides are equal and its perimeter is just

P=4s, so if P=8 then

4s=8, dividing each side by 4 we get

s=2

So each side of the plastic square is 2 centimeters.

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3 years ago
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I believe it is 4 my good sir
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3 years ago
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John's dog eats 8 ounces of dog food each day. John bought 20-pound bag of dog food. How many 8 - ounces are in 28- pounds of do
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8x3= 24...
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5 0
4 years ago
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Annual starting salaries for college graduates with degrees in business administration are generally expected to be between $10,
Andreyy89

Answer:

1) the planning value for the population standard deviation is 10,000

2)

a) Margin of error E = 500, n = 1536.64 ≈ 1537

b) Margin of error E = 200, n = 9604

c) Margin of error E = 100, n = 38416

3)

As we can see, sample size corresponding to margin of error of $100 is too large and may not be feasible.

Hence, I will not recommend trying to obtain the $100 margin of error in the present case.

Step-by-step explanation:

Given the data in the question;

1) Planning Value for the population standard deviation will be;

⇒ ( 50,000 - 10,000 ) / 4

= 40,000 / 4

σ = 10,000

Hence, the planning value for the population standard deviation is 10,000

2) how large a sample should be taken if the desired margin of error is;

we know that, n = [ (z_{\alpha /2 × σ ) / E ]²

given that confidence level = 95%, so z_{\alpha /2  = 1.96

Now,

a) Margin of error E = 500

n = [ (z_{\alpha /2 × σ ) / E ]²

n = [ ( 1.96 × 10000 ) / 500 ]²

n = [ 19600 / 500 ]²

n = 1536.64 ≈ 1537

b) Margin of error E = 200

n = [ (z_{\alpha /2 × σ ) / E ]²

n = [ ( 1.96 × 10000 ) / 200 ]²

n = [ 19600 / 200 ]²

n = 9604

c)  Margin of error E = 100

n = [ (z_{\alpha /2 × σ ) / E ]²

n = [ ( 1.96 × 10000 ) / 100 ]²

n = [ 19600 / 100 ]²

n = 38416

3) Would you recommend trying to obtain the $100 margin of error?

As we can see, sample size corresponding to margin of error of $100 is too large and may not be feasible.

Hence, I will not recommend trying to obtain the $100 margin of error in the present case.

7 0
3 years ago
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