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Mama L [17]
3 years ago
11

A 33 pound bag of grass seed holds 2 pounds less than 5 smaller bags of seed. Find the weight of the smaller bag of seed.

Mathematics
1 answer:
vagabundo [1.1K]3 years ago
7 0

A 33 pound bag of grass seed has = 2 pounds less than 5 smaller bags of seed

= 33 pounds = 2 pounds less than 5 smaller bags

Let the weight of smaller bag of seed be ' x ' . Then ,

= 33 = 5x - 2

= 5x -2 = 33

= 5x = 33 + 2 ( transposing -2 from LHS to RHS changes -2 into +2 )

= 5x = 35

= x = 35 ÷ 5 ( transposing ×5 from LHS to RHS changes ×5 to ÷5 )

= x = 7 = weight of smaller bag of seed

Then , the weight of smaller bag of seed will be 7 pounds . Let us check it by putting 7 in the place of x :

= ( 5 × 7 ) - 2 = 33

= 35 - 2 = 33

LHS = RHS

Therefore , the weight of of smaller bag of seed is 7 pounds .

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Read 2 more answers
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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