course Mth 272 This is the query but the last orientation submission mentions to do this last after doing sub links under assignment 1. I do not know where all these are.
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13:43:47 INTRODUCTORY NOTE: The typical student starting out a second-semester calculus course it typically a bit rusty. It is also common that students you tend to use the calculator in appropriately, replacing analysis with calculator output. The calculator is in this course to be used to enhance the analysis but not to replace it, as you will learn on the first assignments. Some first-semester courses emphasize calculator over analysis rather than calculator as an adjunct to analysis, and even when that is not the emphasis the calculator tricks are all some students com away with. A student who has completed a first-semester course has the ability to do this work, but will often need a good review. If this is your case you will need to relearn the analytical techniques, which you can do as you go through this chapter. A solid review then will allow you to move along nicely when we get to the chapters on integration, starting with Ch 5. Calculator skills will be useful to illuminate the analytical process throughout. THis course certainly doesn't discourage use of the calculator, but only as an adjunct to the analytical process than a replacement for it. You will see what that means as you work through Chapter 4. If it turns out that you have inordinate difficulties with the basic first-semester techniques used in this chapter, a review might be appropriate. I'll advise you on that as we go through the chapter. For students who find that they are very rusty on their first-semester skills I recommend (but certainly don't require) that they download the programs q_a_cal1_1_13... and q_a_cal1_14_16... , from the Supervised Study Current Semester pages (Course Documents > Downloads > Calculus I or Applied Calculus I) and work through all 16 assignments, with the possible exception of #10 (a great application of exponential functions so do it if you have time), skipping anything they find trivial and using their own judgement on whether or not to self-critique. The review takes some time but will I believe save many students time in the long run. For students who whoose to do so I'll be glad to look at the SEND files and answer any questions you might have. Please take a minute to give me your own assessment of the status of your first-semeseter skills.
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RESPONSE --> if you are rusty go back and try the exercises give by the instructor. if you arent too rusty go forth with a slight review within chapter 4.
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13:47:06 You should understand the basic ideas, which include but are not limited to the following: rules of differentiation including product, quotient and chain rules, the use of first-derivative tests to find relative maxima and minima, the use of second-derivative tests to do the same, interpreation of the derivative, implicit differentiation and the complete analysis of graphs by analytically finding zeros, intervals on which the function is positive and negative, intervals on which the function is increasing or decreasing and intervals on which concavity is upward and downward. Comment once more on your level of preparedness for this course.
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RESPONSE --> you must remember the previous calc taken like derivative, implicit differentiation, different graphs and how to gragh, second derivative tests
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16:02:31 query 4.1.16 (was 4.1.14): Solve for x the equation 4^2=(x+2)^2
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RESPONSE --> 16^.5 = [(x+2)^2)]^.5 4 = x+2 x=2
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16:05:42 ** The steps in the solution: 4^2 = (x+2)^2. The solution of a^2 = b is a = +- sqrt(b). So we have x+2 = +- sqrt(4^2) or x+2 = +- 4. This gives us two equations, one for the + and one for the -: x+2 = 4 has solution x = 2 x+2 = -4 has solution x = -6. **
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RESPONSE --> Enter, as appropriate, an answer to the question, a critique of your answer in response to a given answer, your insights regarding the situation at this point, notes to yourself, or just an OK. Always critique your solutions by describing any insights you had or errors you makde, and by explaining how you can make use of the insight or how you now know how to avoid certain errors. Also pose for the instructor any question or questions that you have related to the problem or series of problems. you have to realize when + and - is involved (when square root is involved) because that added another answer as well -6*
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16:14:41 4.1.28 (was 4.1.32) graph 4^(-x). Describe your graph by telling where it is increasing, where it is decreasing, where it is concave up, where it is concave down, and what if any lines it has as asymptotes.
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RESPONSE --> it is concaved upwards. and glides by 2 and 3 of the x axis. the curve is decreasing but does not pass into th negative y axis but stays above this point.
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16:16:57 ** Many students graph this equation by plugging in numbers. That is a start, but you can only plug in so many numbers. In any case plugging in numbers is not a calculus-level skill. It is necessary to to reason out and include detailed reasons for the behavior, based ultimately on knowledge of derivatives and the related behavior of functions. A documented description of this graph will give a description and will explain the reasons for the major characteristics of the graph. The function y = 4^-x = 1 / 4^x has the following important characteristics: For increasing positive x the denominator increases very rapidly, resulting in a y value rapidly approaching zero. For x = 0 we have y = 1 / 4^0 = 1. For decreasing negative values of x the values of the function increase very rapidly. For example for x = -5 we get y = 1 / 4^-5 = 1 / (1/4^5) = 4^5 = 1024. Decreasing x by 1 to x = -6 we get 1 / 4^-6 = 4096. The values of y more and more rapidly approach infinity as x continues to decrease. This results in a graph which for increasing x decreases at a decreasing rate, passing through the y axis at (0, 1) and asymptotic to the positive x axis. The graph is decreasing and concave up. When we develop formulas for the derivatives of exponential functions we will be able to see that the derivative of this function is always negative and increasing toward 0, which will further explain many of the characteristics of the graph. **
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RESPONSE --> the curve also goes throught the y axis at (0,1)
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16:38:28 How does this graph compare to that of 5^-x, and why does it compare as it does?
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RESPONSE --> the latter curve still goes through the same point however the latter curve on the left side of the y axis is at a higher altitude and on the right side of the y axis the latter curve dipps closer to the x axis then the first curve.
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16:39:26 ** the graphs meet at the y axis; to the left of the y axis the graph of y = 5^-x is higher than that of y = 4^-x and to the right it is lower. This is because a higher positive power of a larger number will be larger, but applying a negative exponent will give a smaller results for the larger number. **
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RESPONSE --> the right and left axis is higher and lower respectively because if you apply the positive power of a larger number it will be larger, but a negative number will give a smaller result for a larger number.
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17:04:39 query 4.2.20 (was 4.1 #40) graph e^(2x) Describe your graph by telling where it is increasing, where it is decreasing, where it is concave up, where it is concave down, and what if any lines it has as asymptotes.
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RESPONSE --> this graph is concaved upwards towards the left. it is decreasing but not passing into the negative y axis point (doesnt go below 0).
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17:36:12 ** For large numbers x you have e raised to a large power, which gets extremely large. At x = 0 we have y = e^0 = 1. For large negative numbers e is raised to a large negative power, and since e^-a = 1 / e^a, the values of the function approach zero. } Thus the graph approaches the negative x axis as an asymptote and grows beyond all bounds as x gets large, passing thru the y axis as (0, 1). Since every time x increases by 1 the value of the function increases by factor e, becoming almost 3 times as great, the function will increase at a rapidly increasing rate. This will make the graph concave up. **
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RESPONSE --> the curve is increasing.
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17:48:03 The entire description given above would apply to both e^x and e^(2x). So what are the differences between the graphs of these functions?
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RESPONSE --> the latter curve is higher to the right of the y axis and to the left of the y axis the curve is lower then the first curve. the latter curve is more sharply curved then the first curve.
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18:22:20 ** Note that the graphing calculator can be useful for seeing the difference between the graphs, but you need to explain the properties of the functions. For example, on a test, a graph copied from a graphing calculator is not worth even a point; it is the explanation of the behavior of the function that counts. By the laws of exponents e^(2x) = (e^x)^2, so for every x the y value of e^(2x) is the square of the y value of e^x. For x > 1, this makes e^(2x) greater than e^x; for large x it is very much greater. For x < 1, the opposite is true. You will also be using derivatives and other techniques from first-semester calculus to analyze these functions. As you might already know, the derivative of e^x is e^x; by the Chain Rule the derivative of e^(2x) is 2 e^(2x). Thus at every point of the e^(2x) graph the slope is twice as great at the value of the function. In particular at x = 0, the slope of the e^x graph is 1, while that of the e^(2x) graph is 2. **
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RESPONSE --> on tests must use numbers not only graphs to describe and analyze .
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4.2.43 (was 4.1 #48) $2500 at 5% for 40 years, 1, 2, 4, 12, 365 compoundings and continuous compounding
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RESPONSE --> A= p(1+ r/n ) ^ n 1:$ 2625 2:$ 2500 4:$ 2627.36 12:$ 2627.90 365:$ 2628.17 A=Pe^rt 2500 e^.05*40 = 7.39* 2500 = $18472.64
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19:34:47 A = P[1 + (r/n)]^nt A = 2500[1 + (0.05/1]^(1)(40) = 17599.97 A = 2500[1 + (0.05/2]^(2)(40) = 18023.92 A = 2500[1 + (0.05/4]^(4)(40) = 18245.05 A = 2500[1 + (0.05/12]^(12)(40) = 18396.04 A = 2500[1 + (0.05/365]^(365)(40) = 18470.11
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RESPONSE --> i didnt multiply the number of years. so i must multiply by 40
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19:36:19 How did you obtain your result for continuous compounding?
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RESPONSE --> A = Pe ^rt
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19:41:21 ** For continuous compounding you have A = Pe^rt. For interest rate r = .05 and t = 40 years we have A = 2500e^(.05)(40). Evaluating we get A = 18472.64 The pattern of the results you obtained previously is to approach this value as a limit. **
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RESPONSE --> ok 19:45:05 4.2.4 (was 4.1 #60) typing rate N = 95 / (1 + 8.5 e^(-.12 t)) What is the limiting value of the typing rate?
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RESPONSE --> ok/
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19:50:47 ** As t increases e^(-.12 t) decreases exponentially, meaning that as an exponential function with a negative growth rate it approaches zero. The rate therefore approaches N = 95 / (1 + 8.5 * 0) = 95 / 1 = 95.
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RESPONSE --> as it approaches 0 it has a negative growth rate. because when t increases the overall exponential value decreases.
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19:52:32 How long did it take to average 70 words / minute?
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RESPONSE --> if t was 70 then plug it into the equation to get 94.81
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19:53:10 *&*& According to the graph of the calculator it takes about 26.4 weeks to get to 70 words per min. This result was requested from a calculator, but you should also understand the analytical techniques for obtaining this result. The calculator isn't the authority, except for basic arithmetic and evaluating functions, though it can be useful to confirm the results of actual analysis. You should also know how to solve the equation. We want N to be 70. So we get the equation 70=95 / (1+8.5e^(-0.12t)). Gotta isolate t. Note the division. You first multiply both sides by the denominator to get 95=70(1+8.5e^(-0.12t)). Distribute the multiplication: 95 = 70 + 595 e^(-.12 t). Subtract 70 and divide by 595: e^(-.12 t) = 25/595. Take the natural log of both sides: -.12 t = ln(25/595). Divide by .12: t = ln(25/595) / (-.12). Approximate using your calculator. t is around 26.4. **
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RESPONSE --> t is time hence the answer to the equation is 70 so solve for t
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20:10:25 How many words per minute were being typed after 10 weeks?
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RESPONSE --> put 10 as time into the equation to get = 26.69 words/min
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20:10:56 *&*& According to the calculator 26.6 words per min was being typed after 10 weeks. Straightforward substitution confirms this result: N(10) = 95 / (1+8.5e^(-0.12* 10)) = 26.68 approx. **
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RESPONSE --> ok.
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20:11:31 Find the exact rate at which the model predicts words will be typed after 10 weeks (not time limit here).
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RESPONSE --> put ten in the equation to get 26.69 words/min
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20:11:44 ** The rate is 26.6 words / minute, as you found before. Expanding a bit we can find the rate at which the number of words being typed will be changing at t = 10 weeks. This would require that you take the derivative of the function, obtaining dN / dt. This question provides a good example of an application of the Chain Rule, which might be useful for review: Recall that the derivative of e^t is d^t. N = 95 / (1 + 8.5 e^(-.12 t)), which is a composite of f(z) = 1/z with g(t) = (1 + 8.5 e^(-.12 t)). The derivative, by the Chain Rule, is N' = g'(t) * f'(g(t)) = (1 + 8.5 e^(-.12 t)) ' * (-1 / (1 + 8.5 e^(-.12 t))^2 ) = -.12 * 8.5 e^(-.12 t)) * (-1 / (1 + 8.5 e^(-.12 t))^2 ) = 1.02 / (1 + 8.5 e^(-.12 t))^2 ). **
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RESPONSE --> ok
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20:12:23 4.3.8 (was 4.2 #8) derivative of e^(1/x)
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RESPONSE --> rewritten as e^-x hence derivative is -1
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20:14:07 ** There are two ways to look at the function: This is a composite of f(z) = e^z with g(x) = 1/x. f'(z) = e^z, g'(x) = -1/x^2 so the derivative is g'(x) * f'(g(x)) = -1/x^2 e^(1/x). Alternatively, and equivalently, using the text's General Exponential Rule: You let u = 1/x du/dx = -1/x^2 f'(x) = e^u (du/dx) = e^(1/x) * -1 / x^2. dy/dx = -1 /x^2 e^(1/x) **
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RESPONSE --> use the exponential rule.
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20:14:56 Extra Question: What is the derivative of (e^-x + e^x)^3?
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RESPONSE --> derivative: 3(e^-x + e^x)^2
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20:17:01 ** This function is the composite f(z) = z^3 with g(x) = e^-x + e^x. f ' (z) = 3 z^2 and g ' (x) = - e^-x + e^x. The derivative is therefore (f(g(x)) ' = g ' (x) * f ' (g(x)) = (-e^-x + e^x) * 3 ( e^-x + e^x) ^ 2 = 3 (-e^-x + e^x) * ( e^-x + e^x) ^ 2 Alternative the General Power Rule is (u^n) ' = n u^(n-1) * du/dx. Letting u = e^-x + e^x and n = 3 we find that du/dx = -e^-x + e^x so that [ (e^-x + e^x)^3 ] ' = (u^3) ' = 3 u^2 du/dx = 3 (e^-x + e^x)^2 * (-e^-x + e^x), as before. **
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RESPONSE --> ok
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20:17:56 ** FIrst note that at x = 0 we have e^(4x-2) = e^(4*0 - 2)^3 - e^(-2)^3, which is not 1. So the graph does not pass through (0, 1). The textbook is apparently in error. We will continue with the process anyway and note where we differ from the text. }The function is the composite f(g(x)) wheren g(x) = e^(4x-2) and f(z) = z^3, with f ' (z) = 3 z^2. The derivative of e^(4x-2) itself requires the Chain Rule, and gives us 4 e^(4x-2). So our derivative is (f(g(x))' = g ' (x) * f ' (g(x)) = 4 (e^(4x-2) ) * 3 ( e^(4x - 2))^2 = 12 ( e^(4x - 2))^2. Now at x = 0 our derivative is 12 ( e^(4 * 0 - 2))^3 = 12 e^-6 = .0297. If (0, 1) was a graph point the tangent line would be the line through (0, 1) with slope .0297. This line has equation y - 1 = .0297 ( x - 0), or solving for y y = .0297 x + 1. As previously noted, however, (0, 1) is not a point of the original graph.
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RESPONSE --> Enter, as appropriate, an answer to the question, a critique of your answer in response to a given answer, your insights regarding the situation at this point, notes to yourself, or just an OK. Always critique your solutions by describing any insights you had or errors you makde, and by explaining how you can make use of the insight or how you now know how to avoid certain errors. Also pose for the instructor any question or questions that you have related to the problem or series of problems. ok
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20:19:48 4.3.24 (was 4.2.22) implicitly find y' for e^(xy) + x^2 - y^2 = 0
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RESPONSE --> ok??
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20:21:34 ** The the q_a_ program for assts 14-16 in calculus 1, located on the Supervised Study ... pages under Course Documents, Calculus I, has an introduction to implicit differentiation. I recommend it if you didn't learn implicit differentiation in your first-semester course, or if you're rusty and can't follow the introduction in your text. The derivative of y^2 is 2 y y'. y is itself a function of x, and the derivative is with respect to x so the y' comes from the Chain Rule. the derivative of e^(xy) is (xy)' e^(xy). (xy)' is x' y + x y' = y + x y '. the equation is thus (y + x y' ) * e^(xy) + 2x - 2y y' = 0. Multiply out to get y e^(xy) + x y ' e^(xy) + 2x - 2 y y' = 0, then collect all y ' terms on the left-hand side: x y ' e^(xy) - 2 y y ' = -y e^(xy) - 2x. Factor to get (x e^(xy) - 2y ) y' = - y e^(xy) - 2x, then divide to get y' = [- y e^(xy) - 2x] / (x e^(xy) - 2y ) . **
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RESPONSE --> ok.
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20:25:10 4.3.32 (was 4.2 #30) extrema of x e^(-x)
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RESPONSE --> from the graph it seems like (0,.5) the curve levels out. and also at (0,1)
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20:26:28 ** Again the calculator is useful but it doesn't replace analysis. You have to do the analysis for this problem and document it. Critical points occur when the derivative is 0. Applying the product rule you get x' e^(-x) + x (e^-x)' = 0. This gives you e^-x + x(-e^-x) = 0. Factoring out e^-x: e^(-x) (1-x) = 0 e^(-x) can't equal 0, so (1-x) = 0 and x = 1. Now, for 0 < x < 1 the derivative is positive because e^-x is positive and (1-x) is positive. For 1 < x the derivative is negative because e^-x is negative and (1-x) is negative. So at x = 1 the derivative goes from positive to negative, indicating the the original function goes from increasing to decreasing. Thus the critical point gives you a maximum. The y value is 1 * e^-1. The extremum is therefore a maximum, located at (1, e^-1). **
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RESPONSE --> ok
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20:34:16 4.3.40 (was 4.2 #38) memory model p = (100 - a) e^(-bt) + a, a=20 , b=.5, info retained after 1, 3 weeks.How much memory was maintained after each time interval?
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RESPONSE --> put 1 and 3 as t in the equation to get 1: 72.78 3: 26.76
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20:35:11 ** Plugging in a = 20, b = .5 and t = 1 we get p = (100 - 20) e^(-.5 * 1) + 20 = 80 * e^-.5 + 20 = 68.52, approx., meaning about 69% retention after 1 week. A similar calculation with t = 3 gives us 37.85, approx., indicating about 38% retention after 3 weeks. **
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RESPONSE --> ok.
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20:35:26 **** At what rate is memory being lost at 3 weeks (no time limit here)?
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RESPONSE --> the same answer as before.
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20:35:39 ** The average rate of change of y with respect to t is ave rate = change in y / change in t. This is taken to the limit, as t -> 0, to get the instantaneous rate dy/dt, which is the derivative of y with respect to t. This is the entire idea of the derivative--it's an instantaneous rate of change. The rate of memory loss is the derivative of the function with respect to t. dp/dt = d/dt [ (100 - a) e^(-bt) + a ] = (100-a) * -b e^-(bt). Evaluate at t = 3 to answer the question. The result is dp/dt = -8.93 approx.. This indicates about a 9% loss per week, at the 3-week point. Of course as we've seen you only have about 38% retention at t = 3, so a loss of almost 9 percentage points is a significant proportion of what you still remember. Note that between t = 1 and t = 3 the change in p is about -21 so the average rate of change is about -21 / 2 = -10.5. The rate is decreasing. This is consistent with the value -8.9 for the instantaneous rate at t = 3. **
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RESPONSE --> Enter, as appropriate, an answer to the question, a critique of your answer in response to a given answer, your insights regarding the situation at this point, notes to yourself, or just an OK. Always critique your solutions by describing any insights you had or errors you makde, and by explaining how you can make use of the insight or how you now know how to avoid certain errors. Also pose for the instructor any question or questions that you have related to the problem or series of problems. ok.
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20:37:20 4.2.46 (was 4.2 #42) effect of `mu on normal distribution
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RESPONSE --> not sure what the question is asking.
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20:38:34 ** The calculator should have showed you how the distribution varies with different values of `mu. The analytical explanation is as follows: The derivative of e^[ -(x-`mu)^2 / (2 `sigma) ] is -(x - `mu) e^[ -(x-`mu)^2 / 2 ] / `sigma. Setting this equal to zero we get -(x - `mu) e^[ -(x-`mu)^2 / 2 ] / `sigma = 0. Dividing both sides by e^[ -(x-`mu)^2 / 2 ] / `sigma we get -(x - `mu) = 0, which we easily solve for x to get x = `mu. The sign of the derivative -(x - `mu) e^[ -(x-`mu)^2 / 2 ] / `sigma is the same as the sign of -(x - `mu) = `mu - x. To the left of x = `mu this quantity is positive, to the right it is negative, so the derivative goes from positive to negative at the critical point. By the first-derivative test the maximum therefore occurs at x = `mu. More detail: We look for the extreme values of the function. e^[ -(x-`mu)^2 / (2 `sigma) ] is a composite of f(z) = e^z with g(x) = -(x-`mu)^2 / (2 `sigma). g'(x) = -(x - `mu) / `sigma. Thus the derivative of e^[ -(x-`mu)^2 / (2 `sigma) ] with respect to x is -(x - `mu) e^[ -(x-`mu)^2 / 2 ] / `sigma. Setting this equal to zero we get x = `mu. The maximum occurs at x = `mu. **
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RESPONSE --> ok
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20:39:08 Query Add comments on any surprises or insights you experienced as a result of this assignment.
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RESPONSE --> a lot of the information i felt was not taught in the sections. After studying sections one two and three, it was still difficult.
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