I need help setting up this problem
I need help setting up this problem - 1

Answers

Answer 1
Answer: R represents regular and F will represent recycled fibers. 
R + F = 27
46.99R + 61.99F = 1433.73 
This is how you would set the problem up to begin. Let me know if you need help from here!

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Which expression is equivalent to the given expression?12(x – 17) A. 12x – 29 B. 12 + 12 • 17 C. 12x – 12 • 17 D. 12x – 17

What is the answer to this?
Multiply

1/4 x -2=

Answers

Answer:

-0.5

Step-by-step explanation:

Answer:

−8x+1  / 4x

Step-by-step explanation:

A random sample of 10 subjects have weights with a standard deviation of 11.9407 kg. What is the variance of their​ weights? Be sure to include the appropriate units with the result. The variance of the sample data is nothing ▼ kg cubed . kg squared . kg. ​(Round to four decimal places as​ needed.)

Answers

Answer: 142.58\text{squared kg}[

Step-by-step explanation:

Answer:

Step-by-step explanation:

Given : A random sample of 10 subjects have weights with a standard deviation of 11.9407 kg

i.e. \sigma = 11.9407

Since we know that the value of variance is the square of standard deviation.

i.e. \text{Variance}=\sigma^2

Therefore, to find the value of variance, we need to find the square of the given standard deviation.

i.e. \text{Variance}=(11.9407)^2=142.58031649\approx142.58\text{squared kg}

Thus, the variance of their​ weights =142.58\text{squared kg}[

Interest centers around the life of an electronic component. Let A be the event that the component fails a particular test and B be the event that the component displays strain but does not actually fail. Event A occurs with probability 0.39​​, and event B occurs with probability 0.24. A) What is the probability that the component does not fail the​ test?
B) What is the probability that a component works perfectly well (i.e., neither displays strain nor fails the test)?
C) What is the probability that the component either fails or shows strain in the test?

Answers

Answer: a. 0.61

b. 0.37

c. 0.63

Step-by-step explanation:

From the question,

P(A) = 0.39 and P(B) = 0.24

P(success) + P( failure) = 1

A) What is the probability that the component does not fail the​ test?

Since A is the event that the component fails a particular test, the probability that the component does not fail the​ test will be P(success). This will be:

= 1 - P(A)

= 1 - 0.39

= 0.61

B) What is the probability that a component works perfectly well (i.e., neither displays strain nor fails the test)?

This will be the probability that the component does not fail the​ test minus the event that the component displays strain but does not actually fail. This will be:

= [1 - P(A)] - P(B)

= 0.61 - 0.24

= 0.37

C) What is the probability that the component either fails or shows strain in the test?

This will simply be:

= 1 - P(probability that a component works perfectly well)

= 1 - 0.37

= 0.63

The ellipse ^2/9 + ^2/4 =1, has its major axis length equal toa.13b. 9 c. 4 d. 3 e. 6

Answers

The given equation of ellipse is,

\begin{gathered} (x^2)/(9)+(y^2)/(4)=1 \n (x^2)/(3^2)+(y^2)/(2^2)=1 \end{gathered}

Thus, the major axis length can be determined as,

2a=2*3=6

Thus, option (e) is correct.

FACTOR COMPLETELY:
y^3 - 5y^2 - 17y + 21
HINT: one of the factors is (y-1)

Answers

Answer:

Answer:

7,300 meters

Step-by-step explanation:

7.3×1000 = 7300

Step-by-step explanation:

Suppose you are a chemist who is trying to synthesize a specific compound. You have been working with a new technique and you think that this process can turn 60% of the input compounds into the desired synthesized compound, and want to attempt the process enough times to get an estimate that is within .04 of the true proportion that is converted. How many times should you execute the process to get the desired precision

Answers

Answer:

The sample size 'n' = 576

576 times should you execute the process to get the desired precision

Step-by-step explanation:

Explanation :-

Step(i)

Given data the process can turn 60% of the input compounds into the desired synthesized compound.

Sample proportion ' p' = 60% = 0.60

Given data the estimate within 0.04 of the true proportion that is converted

The margin of error of the true population proportion

                      M.E = 0.04

Step(ii)

The margin of error of the true population proportion is determined by

                M.E = ( Z_(0.05) √(p(1-p)) )/(√(n) )

               0.04 = ( 1.96 √(0.60(1-0.60)) )/(√(n) )

              √(n)  = ( 1.96 √(0.60(1-0.60)) )/(0.04 )    

      on calculation, we get

             √(n) = 24

squaring on both sides ,we get

             n = 576

Final answer:-

The sample size 'n' = 576

576 times should you execute the process to get the desired precision