Flow worksheets

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course mth 163

1-22-12 539pm

002. `query2This assignment consisted of the worksheets

• Overview and Introduction: The Modeling Process applied to Flow From a Cylinder and

• Completion of the Introductory Flow Model.

Students (often including some of the very best students, so there's no shame in it if this applies to you) frequently tell the instructor that they don't know where to find the data for some of these problems. This is usually because they have missed the instruction to do the second of these worksheets, which would include the exercises at the end of the worksheet.

If you find that you are among these students, go ahead and complete the parts of this 'query' that are based on the work you have completed, and submit that part. Then before completing and submitting the rest, simply go back and complete the second worksheet.

Within the worksheet entitled 'Overview and Introduction: The Modeling Process applied

to Flow From a Cylinder' are data for the temperature model and a series of instructions

for constructing and assessing your model.

At the end of the worksheet entitled 'Completion of the Introductory Flow Model' are two

data sets, which correspond to the other problems in the Query.

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Question: `qAssignment 2

For the temperature vs. clock time model, what were temperature and time for the first, third and fifth data points (express as temp vs clock time ordered pairs)?

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Your solution: (0,95) (20,60) (41,40)

confidence rating #$&*: 2

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Given Solution:

** Continue to the next question **

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Self-critique (if necessary):

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Self-critique Rating: I had my graph set up for time to be the x value and temp to be my y value so that is how I ordered my pairs and I am uncertain if that is correct.

@&

That is correct.

*@

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Question: `qAccording to your graph what would be the temperatures at clock times 7, 19 and 31?

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Your solution: approx. 80 degrees, 62 degrees, and 48 degrees

confidence rating #$&*: 2

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Given Solution:

** Continue to the next question **

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Self-critique (if necessary): I think my graph is correct by I am a little uncertain.

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Self-critique Rating: ok

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Question: `qWhat three points did you use as a basis for your quadratic model (express as ordered pairs)?

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Your solution: (20,60) (50, 35) (60, 30)

confidence rating #$&*: 3

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Given Solution:

** A good choice of points `spreads' the points out rather than using three adjacent points. For example choosing the t = 10, 20, 30 points would not be a good idea here since the resulting model will fit those points perfectly but by the time we get to t = 60 the fit will probably not be good. Using for example t = 10, 30 and 60 would spread the three points out more and the solution would be more likely to fit the data. The solution to this problem by a former student will be outlined in the remaining nswers'.

STUDENT SOLUTION (this student probably used a version different from the one you used; this solution is given here for comparison of the steps, you should not expect that the numbers given here will be the same as the numbers you obtained when you solved the problem.)

For my quadratic model, I used the three points

(10, 75)

(20, 60)

(60, 30). **

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Self-critique (if necessary):

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Self-critique Rating: OK

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Question: `qWhat is the first equation you got when you substituted into the form of a quadratic?

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Your solution: (20,60) the equation from this data point was 400a+20b+c=60

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from the first data point (10,75) was 100a + 10b +c = 75.**

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat is the second equation you got when you substituted into the form of a quadratic?

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Your solution: (50, 35) The equation I got from this data point was 2500a+50b+c=35

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from my second data point was 400a + 20b + c = 60 **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qWhat is the third equation you got when you substituted into the form of a quadratic?

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Your solution: (60, 30) The equation I got from this data point was 3600a+60b+c=30

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from my third data point was 3600a + 60b + c = 30. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qWhat multiple of which equation did you first add to what multiple of which other equation to eliminate c, and what is the first equation you got when you eliminated c?

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Your solution: I first subtracted the second equation from the first equation. The resulting equation was -2100a-30b=25

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: First, I subtracted the second equation from the third equation in order to eliminate c.

By doing this, I obtained my first new equation

3200a + 40b = -30. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qTo get the second equation what multiple of which equation did you add to what multiple of which other quation, and what is the resulting equation?

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Your solution: To get a second equation without c in it, I subtracted the third equation from the first equation. The resulting equation was -3200a-40b=30

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: This time, I subtracted the first equation from the third equation in order to again eliminate c.

I obtained my second new equation:

3500a + 50b = -45**

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qWhich variable did you eliminate from these two equations, and what was the value of the variable for which you solved these equations?

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Your solution: I then eliminated b by multiplying one equation by 4 and the other by -3 which canceled out the b’s by making one of them 120 and the other -120 and got that a=.008333

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a and b, I decided to eliminate b because of its smaller value. In order to do this, I multiplied the first new equation by -5

-5 ( 3200a + 40b = -30)

and multiplied the second new equation by 4

4 ( 3500a + 50b = -45)

making the values of -200 b and 200 b cancel one another out. The resulting equation is -2000 a = -310. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qWhat equation did you get when you substituted this value into one of the 2-variable equations, and what did you get for the other variable?

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Your solution: I substituted a =.00833 into one of the equations with 2 variables and got that b= -1.416643

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: After eliminating b, I solved a to equal .015

a = .015

I then substituted this value into the equation

3200 (.015) + 40b = -30

and solved to find that b = -1.95. **

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Self-critique (if necessary): ok

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Self-critique Rating:

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Question: `qWhat is the value of c obtained from substituting into one of the original equations?

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Your solution: When I substituted the two values into one of the original equations I got that c=84.99966

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: By substituting both a and b into the original equations, I found that c = 93 **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat is the resulting quadratic model?

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Your solution: The resulting quadratic model I got was (.008333)t^2-(1.416643)t + 84.99966

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Therefore, the quadratic model that I obtained was

y = (.015) x^2 - (1.95)x + 93. **

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Self-critique (if necessary): ok

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Self-critique Rating:

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Question: `qWhat did your quadratic model give you for the first, second and third clock times on your table, and what were your deviations for these clock times?

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Your solution: The model when I input the clock time of 0 gave me 85 which was a deviation of 10. When I input 10, I got 72 which was a deviation of 5. When I input 20, I got 60 which was a deviation of 0.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: This model y = (.015) x^2 - (1.95)x + 93 evaluated for clock times 0, 10 and 20 gave me these numbers:

First prediction: 93

Deviation: 2

Then, since I used the next two ordered pairs to make the model, I got back

}the exact numbers with no deviation. So. the next two were

Fourth prediction: 48

Deviation: 1

Fifth prediction: 39

Deviation: 2. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat was your average deviation?

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Your solution: My average deviation was 9.25 which seemed a little high but I know I probably used some of the points that were not very good points to fit into my quadratic model.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: My average deviation was .6 **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qIs there a pattern to your deviations?

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Your solution: My deviations went from negative to zero and back to negative.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: There was no obvious pattern to my deviations.

INSTRUCTOR NOTE: Common patterns include deviations that start positive, go negative in the middle then end up positive again at the end, and deviations that do the opposite, going from negative to positive to negative. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qHave you studied the steps in the modeling process as presented in Overview, the Flow Model, Summaries of the Modeling Process, and do you completely understand the process?

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Your solution: I do completely understand the process. It is a long process so I am a little concerned with losing some of the information along the way or inputting an incorrect figure but I completely understand how to do the problem.

@&

The devil is definitely in the details, but you appear to have navigated this problem accurately. Very good.

You also appear to clearly understand the process. Even better.

*@

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Yes, I do completely understand the process after studying these outlines and explanations. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qHave you memorized the steps of the modeling process, and are you gonna remember them forever? Convince me.

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Your solution: I have printed out the outline and I have memorized the steps of the modeling process. I made a mistake in my first round of calculations so I had to go back and redo the whole thing twice which has helped me remember plus I learned some of this at the end of last semester when we studied the quadratic equation so it is still fresh in my mind.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Yes, sir, I have memorized the steps of the modeling process at this point. I also printed out an outline of the steps in order to refresh my memory often, so that I will remember them forever!!!

INSTRUCTOR COMMENT: OK, I'm convinced. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qQuery Completion of Model first problem: Completion of model from your data.Give your data in the form of depth vs. clock time ordered pairs.

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Your solution: I used the data from the simulated data for pre-calculus under randomized data. The pairs were as follows:

(5.3, 63.7), (10.6, 54.8), (15.9, 46), (21.2, 37.7), (26.5, 32), (31.8, 26.6)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION: Here are my data which are from the simulated data provided on the website under randomized problems.

(5.3, 63.7)

(10.6. 54.8)

(15.9, 46)

(21.2, 37.7)

(26.5, 32)

(31.8, 26.6). **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat three points on your graph did you use as a basis for your model?

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Your solution: (5.3, 63.7), (15.9, 46), (26.5, 32). I decided to use one of the first, last and middle points to see how that would work out with my deviations. I also felt it would be helpful to use the same points in the examples so that I could effectively check my work.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: As the basis for my graph, I used

( 5.3, 63.7)

(15.9, 46)

(26.5, 32)**

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qGive the first of your three equations.

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Your solution: 28.09a+5.3b+c=63.7

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (5.3, 63.7) gives me the equation 28.09a + 5.3b + c = 63.7 **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qGive the second of your three equations.

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Your solution: 252.81a+15.9b+c=46

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (15.9, 46) gives me the equation 252.81a +15.9b + c = 46 **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qGive the third of your three equations.

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Your solution: 702.25a+26.5b+c=32

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (26.5,32) gives me the equation 702.25a + 26.5b + c = 32. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qGive the first of the equations you got when you eliminated c.

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Your solution: I subtracted the second equation from the third and got 449.44a+10.6b= -14 Confidence Assessment: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Subtracting the second equation from the third gave me 449.44a + 10.6b = -14. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qGive the second of the equations you got when you eliminated c.

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Your solution: I subtracted the first equation from the third and got the equation 674.16a+21.2b= -31.7

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Subtracting the first equation from the third gave me 674.16a + 21.2b = -31.7. **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qExplain how you solved for one of the variables.

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Your solution: I multiplied the first equation by 21.2 and the second by -10.6 so that the b’s would be the same number but one would be positive and one negative to cancel out.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a, I eliminated b by multiplying the first equation by 21.2, which was the b value in the second equation. Then, I multiplied the seond equation by -10.6, which was the b value of the first equation, only I made it negative so they would cancel out. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat values did you get for a and b?

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Your solution: a=.0165 and b= -2.02

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: a = .0165, b = -2 **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat did you then get for c?

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Your solution: I then input both a and b back into one of the original equations to calculate that c=73.94

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: c = 73.4 **

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Self-critique (if necessary): I got 73.94 when I worked it out instead of 73.4 as stated in the answer.

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Self-critique Rating:ok

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Question: `qWhat is your function model?

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Your solution: y=(.0165)t^2+ (-2.02)t+ (73.94)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: y = (.0165)x^2 + (-2)x + 73.4. **

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qWhat is your depth prediction for the given clock time (give clock time also)?

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Your solution: When the clock time is 46 seconds my depth prediction would be 15.934 cm

confidence rating #$&*: 2

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Given Solution:

** STUDENT SOLUTION CONTINUED: The given clock time was 46 seconds, and my depth prediction was 16.314 cm.**

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Self-critique (if necessary): I am a little uncertain because I got the 73.94 as the c answer instead of the 73.4 answer given but I am hoping it was a misprint on here and I actually have it correct.

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Self-critique Rating:

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Question: `qWhat clock time corresponds to the given depth (give depth also)?

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Your solution: I got 2 answers for a depth of 14. Once was 71.9 and the other was 50.526

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Given Solution:

** INSTRUCTOR COMMENT: The exercise should have specified a depth.

The specifics will depend on your model and the requested depth. For your model y = (.0165)x^2 + (-2)x + 73.4, if we wanted to find the clock time associated with depth 68 we would note that depth is y, so we would let y be 68 and solve the resulting equation:

68 = .01t^2 - 1.6t + 126

using the quadratic formula. There are two solutions, x = 55.5 and x = 104.5, approximately. **

STUDENT QUESTION

I have done what I could with the completion of flow model page 7 directions when I hit the sqrt

button on calculator so sqrt -.652 I would get (0,.807465169527) I do not remember ever doing a problem with 0,.8…. so I

hope I used the correct numbers to solve the rest of quad equation using quad formula

INSTRUCTOR RESPONSE:

Short answer:

The square root of a negative isn't a real number, so there is no solution to the equation for your given depth. Your calculator indicated a complex-number solution.

Longer answer:

The square root of a negative number is an imaginary number; the result you got is a point in the complex-number plane, on the imaginary axis. You might not understand what that means, but the point is that there is no real-number solution. You can't square a real number and get a negative, so the square root of a negative isn't a real number.

What this means is that the equation has no real-number solution. There is no clock time t for which the depth takes the y value you used in the equation.

In terms of the graph, note that the graph of the quadratic function is a parabola, which opens upward. So there are y values that lie completely below the parabola. If you try to solve the quadratic for one of these y values, you won't get a solution.

This sort of thing can certainly happen with a mathematical model. When it does, the answer is simply that there is no such solution.

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Self-critique (if necessary): I understand that we have to put the equation into the quadratic formula but I am not sure how to tell which answer that comes from that is the correct one.

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Self-critique Rating:2

@&

Very good question.

The decision on which of two solutions to use, or even whether both solutions might be valid, depends on the specific situation. For different situations, it is possible for one solution or the other to represent the actual behavior; and for some systems it is possible that neither solution applies, or that both solutions apply.

We have to ask ourselves in each case which solutions match the system we are analyzing.

In this case we know that the depth is decreasing, while the graph of the function first decreases, then increases.

The increasing part of the parabola doesn't correspond to the real-world behavior of this system. So in this case we would choose the result that corresponds to the decreasing part of the parabola. That would be 50.5 seconds.

*@

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Question: `qCompletion of Model second problem: grade average Give your data in the form of grade vs. clock time ordered pairs.

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Your solution: I assume this question is actually looking for grade vs. percent of assignments reviewed and not clock time. The ordered pairs I came up with were:

(0,1), (10, 1.790569), (20, 2.118034), (30, 2.369306), (40, 2.581139), (50, 2.767767), (60, 2.936492), (70, 3.09165), (80, 3.236068), (90, 3.371708), (100, 3.5).

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION: Grade vs. percent of assignments reviewed

(0, 1)

(10, 1.790569)

(20, 2.118034)

(30, 2.369306)

(40, 2.581139)

(50, 2.767767)

(60, 2.936492)

(70, 3.09165)

(80, 3.236068)

(90, 3.371708)

(100, 3.5). **

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Self-critique (if necessary):

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Self-critique Rating:ok

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Question: `qWhat three points on your graph did you use as a basis for your model?

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Your solution: (10, 1.790569), (50, 2.767767), and (100, 3.5)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED:

(20, 2.118034)

(50, 2.767767)

(100, 3.5)**

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Self-critique (if necessary):

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Self-critique Rating: ok

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Question: `qGive the first of your three equations.

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Your solution: 100a+10b+c=1.790569

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 400a + 20b + c = 2.118034**

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Question: `qGive the second of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: 2500a+50b+c=2.767767

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 2500a + 50b + c = 2.767767 **

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Question: `qGive the third of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: 10000a+100b+c=3.5

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 10,000a + 100b + c = 3.5 **

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Self-critique (if necessary): ok

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Question: `qGive the first of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: I subtracted the second equation from the first equation to get: 2400a+40b=.977198

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 7500a + 50b = .732233. **

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Self-critique Rating: ok

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Question: `qGive the second of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: I subtracted the second equation from the third equation to get: 7500a+50b=.732233

confidence rating #$&*:

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Given Solution:

** STUDENT SOLUTION CONTINUED: Subracting the first equation from the third I go

9600a + 80b = 1.381966 **

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Self-critique Rating: ok

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Question: `qExplain how you solved for one of the variables.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: In order to eliminate b, I multiplied 2400a+40b=.977198 by -50 to make negative 2000 b, then I multiplied 7500a+50b =.732233 by 40 to make positive 2000 b. Then I added them together.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a, I eliminated the variable b. In order to do this, I multiplied the first new equation by 80 and the second new equation by -50. **

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Self-critique Rating: ok

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Question: `qWhat values did you get for a and b?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: a= -.00000679534028 and b= -.0248376704

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED:

a = -.0000876638

b = .01727 **

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Self-critique Rating: ok

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Question: `qWhat did you then get for c?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: c=1.54287183

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: c = 1.773. **

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Self-critique Rating: ok

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Question: `qWhat is your function model?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: y=(-.00000679534028) t^2+(.0248376704) t+1.54287183

confidence rating #$&*: 3

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Given Solution:

** y = -.0000876638 x^2 + (.01727)x + 1.773 **

STUDENT QUESTION

Hello! I am working on the Modeling Project #1 still and I am having such issues with the data sets for the rest of the

worksheet. I keep reading and I see that your doing grade average versus percentage of assignments, but I am confused on what

it is asking or what method I am supposed to be using. I got the first question, solving for a, b, and c and I am familiar

with the quadratic forumla, I am just missing something on how to start these next two problems.

Could you give me a boost to what to do?

INSTRUCTOR RESPONSE

What that boils down to can be summarized by a table.

For example, consider the following

x y

2 20

5 50

12 130

From this table and the form y = a x^2 + b x + c you get the equations

20 = 4 a + 2 b + c

50 = 25 a + 5 b + c

130 = 144 a + 12 b + c

which you can solve by elimination, as you did with the first question.

Now you are given data for grade ave. vs. percent of review.

• You could make a table of y vs. x, with y the grade average and x the percent of review.

• You could replace the heading 'x' in the first column with the identifier 'percent of review' and the 'y' in the second column with 'grade ave', so your table would represent percent of review vs. grade average.

Your table would have several additional rows (one additional row for every 'data point').

• You are instructed to choose three data points, and to base your model on those three points.

• You could for example make a 'shortened table' with just the three points you choose, very similar to the table given above (but with different numbers).

• To get a quadratic model you would again use the form y = a x^2 + b x + c to get three equations, one for each point.

• Solving the equations for a, b and c and plugging those values back into the form y = a x^2 + b x + c gives you your model.

Let me know if this doesn't help.

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Question: `qWhat is your percent-of-review prediction for the given range of grades (give grade range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: From the quadratic formula I got two answers, 3595.464089 which I can determine will not work for the answer to this problem and the second answer of 59.639169817 or approx. 60% which is the answer to the percent of review prediction for a 3.0 grade. For the 4.0 grade the question asked me for, I have determined that the correct answer would be 102% based on my results for the quadratic equation.

confidence rating #$&*: 3

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Given Solution:

** The precise solution depends on the model desired average.

For example if the model is y = -.00028 x^2 + .06 x + .5 (your model will probably be different from this) and the grade average desired is 3.3 we would find the percent of review x corresponding to grade average y = 3.3 then we have

3.3 = -.00028 x^2 + .06 x + .5.

This equation is easily solved using the quadratic formula, remembering to put the equation into the required form a x^2 + b x + c = 0.

We get two solutions, x = 69 and x = 146. Our solutions are therefore 69% grade review, which is realistically within the 0 - 100% range, and 146%, which we might reject as being outside the range of possibility.

To get a range you would solve two equations, on each for the percent of review for the lower and higher ends of the range.

In many models the attempt to solve for a 4.0 average results in an expression which includes the square root of a negative number; this indicates that there is no real solution and that a 4.0 is not possible. **

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Self-critique Rating: ok

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Question: `qWhat grade average corresponds to the given percent of review (give grade average also)?

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Your solution: After plugging in the percent of review which was 80% for x in my equation. I got that y or grade average =3.57337564 or 3.6 for reviewing 80% of the material.

confidence rating #$&*: 3

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Given Solution:

** Here you plug in your percent of review for the variable. For example if your model is y = -.00028 x^2 + .06 x + .5 and the percent of review is 75, you plug in 75 for x and evaluate the result. The result gives you the grade average corresponding to the percent of review according to the model. **

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Question: `qHow well does your model fit the data (support your answer)?

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Your solution: After comparing my model to the data given, I have determined that my model fits the data. For 80% of review based on the chart given, the grade average would be 3.236068 and based on my model the grade average would be 3.57337564, therefore a deviation of .33730764 is fairly accurate. I also assessed my model for 10, 20, 30, 40…100 percent of assignments reviewed and determined that my model is pretty accurate throughout. For example at 10%, my model deviated .00137 from the chart given and at 100%, it deviated .595 from the chart.

confidence rating #$&*: 3

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Given Solution:

** You should have evaluated your function at each given percent of review-i.e., at 0, 10, 20, 30, . 100 to get the predicted grade average for each. Comparing your results with the given grade averages shows whether your model fits the data. **

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Question: `qillumination vs. distance

Give your data in the form of illumination vs. distance ordered pairs.

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Your solution: (1, 935.1395) (2, 264.4411) (3, 105.1209) (4, 61.01488) (5, 43.06238) (6, 25.91537) (7, 19.92772) (8, 16.27232) (9, 11.28082) (10, 9.484465)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION: (1, 935.1395)

(2, 264..4411)

(3, 105.1209)

(4, 61.01488)

(5, 43.06238)

(6, 25.91537)

(7, 19.92772)

(8, 16.27232)

(9, 11.28082)

(10, 9.484465)**

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Question: `qWhat three points on your graph did you use as a basis for your model?

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Your solution: (2, 264.4411) (5, 43.06238) (10, 9.484465)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED:

(2, 264.4411)

(4, 61.01488)

(8, 16.27232) **

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Question: `qGive the first of your three equations.

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Your solution: 4a+2b+c=264.4411

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 4a + 2b + c = 264.4411**

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Question: `qGive the second of your three equations.

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Your solution: 25a+5b+c=43.06238

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 16a + 4b + c = 61.01488**

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Question: `qGive the third of your three equations.

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Your solution: 100a+10b+c=9.484465

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 64a + 8b + c = 16.27232**

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Self-critique Rating:ok

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Question: `qGive the first of the equations you got when you eliminated c.

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Your solution: I subtracted the first equation from the third equation and got 21a+3b= -221.37872

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 48a + 4b = -44.74256**

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Question: `qGive the second of the equations you got when you eliminated c.

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Your solution: I subtracted equation two from equation 3 and got 75a+5b= -33.577915

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: 60a + 6b = -248.16878**

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Question: `qExplain how you solved for one of the variables.

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Your solution: I multiplied one of the two variable equations by 3 and the other by -5 so that the b’s would be positive and negative 15 and would cancel out to give me the answer for a. I then canceled out the b and got that a = 8.384665458

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: I solved for a by eliminating the variable b. I multiplied the first new equation by 4 and the second new equation by -6 **

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Question: `qWhat values did you get for a and b?

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Your solution: a=8.384665458 and b= -132.4855649

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: a = 15.088, b = -192.24 **

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Question: `qWhat did you then get for c?

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Your solution: c=495.873568

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: c = 588.5691**

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Question: `qWhat is your function model?

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Your solution: y=8.384665458x^2-132.4855649x+495.873568

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: y = (15.088) x^2 - (192.24)x + 588.5691 **

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Question: `qWhat is your illumination prediction for the given distance (give distance also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: The illumination prediction for the distance of 1.6 is 305.3614078 w/m^2

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The given distance was 1.6 Earth distances from the sun. My illumination prediction was 319.61 w/m^2, obtained by evaluating my function model for x = 1.6. **

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Question: `qWhat distances correspond to the given illumination range (give illumination range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution: The illumination range was 25 to 100 w/m^2. The solutions are when y=100, r=3.85 and when y=25, r=5.17, so when the distance has a range of 3.85 to 5.17, the illumination range is 25-100

confidence rating #$&*: 2, While I completely understand how to work the problem, I am having a little difficulty at the end when analyzing the data. But the solutions going into such detail are really helping me with it.

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Given Solution:

** The precise solution depends on the model and the range of averages.

For example if the model is y =9.4 r^2 - 139 r + 500 and the illumination range is 25 to 100 we would find the distance r corresponding to illumination y = 25, then the distance r corresponding to illumination y = 100, by solving the equations

25=9.4 r^2 - 139 r + 500

and

100 =9.4 r^2 - 139 r + 500

Both of these equations are easily solved using the quadratic formula, remembering to put both into the required form a r^2 + b r + c = 0. Both give two solutions, only one solution of each having and correspondence at all with the data.

The solutions which correspond to the data are

r = 3.9 when y = 100 and r = 5.4 when y = 25.

So when the distance x has range 3.9 - 5.4 the illumination range is 25 to 100.

Note that a quadratic model does not fit this data well. Sometimes data is quadratic in nature, sometimes it is not. We will see as the course goes on how some situations are accurately modeled by quadratic functions, while others are more accurately modeled by exponential or power functions. **

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end document

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Self-critique rating:

@&

You are doing extremely well with this.

I've inserted a couple of notes, which you can find by scrolling through the document. They will be in boldface type.

Keep up the excellent work.

*@