CMA M Description CACVersion1.000  WithResults32 Kind MeasureMode Duration@ DurationUnit NumPoints@ Delay DelayUnit Samples? ManualSamples?! EventDrivenSamples? T0atfirstpulse FirstPointAtStart DoubleClickType T0atfirstpulseManual RepeatUse RepeatCondition RepeatUseCount RepeatCount$ RepeatDelayUser@ RepeatDelayUnit% ResetCountersEachInterval! UseTimeForEventDriven UseEvents# EventThreshold EventDirection CanUsePWindow CanUseMWindow WithProgram AnimateDigital AlwaysQuickly AngleUnits PupilLevel LanguageEN MonitorSpeed HomePageName HomePageURL# DelayTillStart StartTime- ManualData Number=Layout Splitters1 Splitter11,1,0,0,0,0,0.497744360902256* Splitter21,0,0,1,0,0,0.49921875* Splitter31,0,1,0,0,0,0.49921875 Quadrants Quadrant11,0,0,2,1 Quadrant21,2,0,0,1 Quadrant31,0,1,3,0 Quadrant41,3,1,0,0PWindow Visible Xcor? Ycor? width? heightOY? DockedToAWindow Visible Xcor Ycor width height DockedToVWindow Visible Xcor? Ycor? width? height? DockedToMWindow Visible Xcor? Ycor? width? heightOY? DockedToNewText Answers Model explanation= Modeling problem (continuation of Activity 2a)NewTextAnswers Assignment 1 The mice population does not grow unrestricted. The capacity and the growth factor determine the maximum amount of mice. This amount does not have to be stable. For example, choose Growth_Factor = 2 and Capacity=50. Assignment 2 The changing of the population is shown in Births = (Growth_Factor - Restraining)*Mice The variable Restraining has a negative influence at the net amount of births. If Restraining > Growth_Factor then net growth is negative. This means that mice disappear from the population (for example by death or moving to another garden). So, death rate is implemented in the model. If the population stabilizes then the following applies: Births = 0 (Growth_Factor - Restraining) * Mice = 0 Then Mice = 0 or (Growth_Factor - Restraining) = Growth_Factor - Mice/Capacity = 0 Mice = Growth_Factor * Capacity If Growth Factor is 0.8 and Capacity = 75 then Mice = 60 RichTextAnswers {\rtf1\ansi\deff0\deftab254{\fonttbl{\f0\swiss\fcharset0 Arial;}{\f1\fnil\fcharset0 Arial;}{\f2\fnil\fcharset2 Symbol;}{\f3\fnil\fcharset2 WingDings;}}{\colortbl\red0\green0\blue0;\red255\green0\blue0;\red0\green128\blue0;\red0\green0\blue255;\red255\green255\blue0;\red255\green0\blue255;\red128\green0\blue128;\red128\green0\blue0;\red0\green255\blue0;\red0\green255\blue255;\red0\green128\blue128;\red0\green0\blue128;\red255\green255\blue255;\red192\green192\blue192;\red128\green128\blue128;\red0\green0\blue0;}\wptoolsver4\wpprheadfoot1\paperw12240\paperh15840\margl1000\margr1880\margt400\margb400\headery400\footery720\sectd {\*\pnseclvl1\pnucrm\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{.}}} {\*\pnseclvl2\pnucltr\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{.}}} {\*\pnseclvl3\pndec\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{.}}} {\*\pnseclvl4\pnlcltr\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} {\*\pnseclvl5\pnlcrm\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} {\*\pnseclvl6\pnlcltr\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} {\*\pnseclvl7\pndec\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} {\*\pnseclvl8\pndec\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} {\*\pnseclvl9\pndec\pnstart1\pnhang\pnindent360{\pntxtb}{\pntxta{)}}} \endnhere\sectdefaultcl{\pard{\ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0\b Assignment 1\par {\pntext\f2 \tab}{{\*\pn \pnlvlblt\pnf2\pnhang\pnindent360{\pntxtb{}}{\pntxta}}\ql\wpparid1\li435\fi-435\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The mice population does not grow unrestricted. The capacity and the growth factor \plain\f1\fs22\cf0 determine the maximum amount of mice. This amount does not have to be stable. For \plain\f1\fs22\cf0 example, choose Growth_Factor = 2 and Capacity=50.\par }\pard{\ql\wpparid0\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0\b Assignment 2\par {\pntext\f2 \tab}{{\*\pn \pnlvlblt\pnf2\pnhang\pnindent360{\pntxtb{}}{\pntxta}}\ql\li435\fi-435\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The changing of the population is shown in Births = (Growth_Factor - Restraining)*Mice\par {\pntext\f2 \tab}\ql\wpparid2\li435\fi-435\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The variable Restraining has a negative influence at the net amount of births. \par {\pntext\f2 \tab}\ql\wpparid1\li435\fi-435\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 If Restraining > Growth_Factor then net growth is negative. This means that mice \plain\f1\fs22\cf0 disappear from the population (for example by death or moving to another garden). So, \plain\f1\fs22\cf0 death rate is implemented in the model.\par {\pntext\f2 \tab}\ql\wpparid9\li435\fi-435\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 If the population stabilizes then the following applies:\line \plain\f1\fs22\cf0 Births = 0\line \plain\f1\fs22\cf0 (Growth_Factor - Restraining) * Mice = 0\line \plain\f1\fs22\cf0 Then Mice = 0 or (Growth_Factor - Restraining) = Growth_Factor - Mice/Capacity = 0 \line \plain\f1\fs22\cf0 Mice = Growth_Factor * Capacity\line \plain\f1\fs22\cf0 If Growth Factor is 0.8 and Capacity = 75 then Mice = 60\par }\ql\wpparid9\li290\fi-285\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \pard{\ql\wpparid9\li5\fi0\ri290\sb0\sl\sa0 \plain\f1\fs22\cf0 }}}} }NewTextModel explanation[ Growth factor causes the increase in amount of mature mice if no restrictions are imposed. In one period from 100 mice 100 mature offspring originates, the growth factor is 1. The Capacity is the optimal amount of mice that can live in the garden. The mortality is high when the capacity is small compared to the amount Mice. Then the amount of Mice divided by Capacity is >> 1. The mortality is small if the Capacity is high compared to the amount Mice. Then the amount of Mice divided by Capacity is << 1. The relation Mice/Capacity is a measure for the Restraining. RichTextModel explanation| {\rtf1\ansi\deff0\deftab254{\fonttbl{\f0\swiss\fcharset0 Arial;}{\f1\fnil\fcharset0 Arial;}{\f2\fnil\fcharset2 WingDings;}}{\colortbl\red0\green0\blue0;\red255\green0\blue0;\red0\green128\blue0;\red0\green0\blue255;\red255\green255\blue0;\red255\green0\blue255;\red128\green0\blue128;\red128\green0\blue0;\red0\green255\blue0;\red0\green255\blue255;\red0\green128\blue128;\red0\green0\blue128;\red255\green255\blue255;\red192\green192\blue192;\red128\green128\blue128;\red0\green0\blue0;}\wptoolsver4\wpprheadfoot1\paperw12240\paperh15840\margl1000\margr1880\margt400\margb400\headery400\footery720\sectd {\*\pnseclvl1\pnucrm\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl2\pnucltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl3\pndec\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl4\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl5\pndec\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl6\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl7\pnlcrm\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl8\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl9\pnlcrm\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} \endnhere\sectdefaultcl{\pard{\ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Growth factor causes the increase in amount of mature mice if no restrictions are imposed. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 In one period from 100 mice 100 mature offspring originates, the growth factor is 1. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The Capacity is the optimal amount of mice that can live in the garden. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The mortality is high when the capacity is small compared to the amount Mice. Then the \plain\f1\fs22\cf0 amount of Mice divided by Capacity is >> 1. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The mortality is small if the Capacity is high compared to the amount Mice. Then the amount \plain\f1\fs22\cf0 of Mice divided by Capacity is << 1. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The relation Mice/Capacity is a measure for the Restraining. \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 }} }6NewTextModeling problem (continuation of Activity 2a) 10 mice live in a garden. Nevertheless there is a limited amount of food. The maximum number of mice the garden can accommodate is called the capacity. Is the size of the garden an effective restraining for mice growth? Assignment 1 Execute the model by pressing the green Start button . How the graph shows that restrained growth take place? Find out what is the effect of doubling or halving the initial values. What is your conclusion? Assignment 2 The size of the garden restrains growth of the population. Which variable in the model shows this? Explain how the restrained growth is implemented in the model. Explain why no death rate is implemented in the model. Predict at which value the population will stabilize if there is 80 young born mice per 100 mice and garden capacity is 75 mice. Assignment 3 Is this model suitable for describing the development of the mice population? Explain your answer. 7RichTextModeling problem (continuation of Activity 2a)b {\rtf1\ansi\deff0\deftab254{\fonttbl{\f0\swiss\fcharset0 Arial;}{\f1\fnil\fcharset0 Arial;}{\f2\fnil\fcharset2 Symbol;}{\f3\fnil\fcharset2 WingDings;}}{\colortbl\red0\green0\blue0;\red255\green0\blue0;\red0\green128\blue0;\red0\green0\blue255;\red255\green255\blue0;\red255\green0\blue255;\red128\green0\blue128;\red128\green0\blue0;\red0\green255\blue0;\red0\green255\blue255;\red0\green128\blue128;\red0\green0\blue128;\red255\green255\blue255;\red192\green192\blue192;\red128\green128\blue128;\red0\green0\blue0;}\wptoolsver4\wpprheadfoot1\paperw12240\paperh15840\margl1000\margr1880\margt400\margb400\headery400\footery720\sectd {\*\pnseclvl1\pnucrm\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl2\pnucltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl3\pndec\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{.}}} {\*\pnseclvl4\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb}{\pntxta{)}}} {\*\pnseclvl5\pndec\pnstart1\pnhang\pnindent720{\pntxtb{(}}{\pntxta{)}}} {\*\pnseclvl6\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb{(}}{\pntxta{)}}} {\*\pnseclvl7\pnlcrm\pnstart1\pnhang\pnindent720{\pntxtb{(}}{\pntxta{)}}} {\*\pnseclvl8\pnlcltr\pnstart1\pnhang\pnindent720{\pntxtb{(}}{\pntxta{)}}} {\*\pnseclvl9\pnlcrm\pnstart1\pnhang\pnindent720{\pntxtb{(}}{\pntxta{)}}} \endnhere\sectdefaultcl{\pard{\qj\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 10 mice live in a garden. Nevertheless there is a limited amount of food. The maximum \plain\f1\fs22\cf0 number of mice the garden can accommodate is called the capacity. Is the size of the \plain\f1\fs22\cf0 garden an effective restraining for mice growth? \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\wpparid1\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0\b Assignment 1\par {\pntext\f2 \tab}{{\*\pn \pnlvlblt\pnf2\pnhang\pnindent360{\pntxtb{}}{\pntxta}}\qj\wpparid1\li430\fi-430\ri420\sb0\sl\sa0 \plain\f1\fs22\cf0 Execute the model by pressing the green Start button . How the graph shows that \plain\f1\fs22\cf0 restrained growth take place?\par {\pntext\f2 \tab}\ql\wpparid0\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Find out what is the effect of doubling or halving the initial values. What is your \plain\f1\fs22\cf0 conclusion?\par }\pard{\ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0\b Assignment 2\par {\pntext\f2 \tab}{{\*\pn \pnlvlblt\pnf2\pnhang\pnindent360{\pntxtb{}}{\pntxta}}\ql\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 The size of the garden restrains growth of the population. Which variable in the model \plain\f1\fs22\cf0 shows this? \par {\pntext\f2 \tab}\ql\wpparid2\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Explain how the restrained growth is implemented in the model.\par {\pntext\f2 \tab}\ql\wpparid3\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Explain why no death rate is implemented in the model. \par {\pntext\f2 \tab}\ql\wpparid1\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Predict at which value the population will stabilize if there is 80 young born mice per \plain\f1\fs22\cf0 100 mice and garden capacity is 75 mice.\par }\pard{\ql\wpparid0\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0\b Assignment 3\par {\pntext\f2 \tab}{{\*\pn \pnlvlblt\pnf2\pnhang\pnindent360{\pntxtb{}}{\pntxta}}\ql\wpparid1\li420\fi-420\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 Is this model suitable for describing the development of the mice population? Explain \plain\f1\fs22\cf0 your answer.\par }\pard{\ql\wpparid1\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 \par \ql\wpparid0\li0\fi0\ri0\sb0\sl\sa0 \plain\f1\fs22\cf0 }}}}} }*NewNotes Notes+NewNotesNotes /NewRichNotesNotes ' Procedures $Program - Animations NumberBitmaps Number 10MiceD:\My Documents\C5 ontwikkeling\Coach 32bit\My C6 Projects\Presentatie Coach 6\Modeling\Modeling - 2. Biology Models\MICE2.jpg12723310048000000034867+WebPages NumberL NewTablesC10 Histogramm PopulationwTableHistogramm LineNumbers ColumnLetters Grid KeepRatio NameAsConnection HasOld OldXLabel OldYLabel OldShift OldColor  OldWidth OldConnect OldPoints Oldaxis oldXmin OldXmax@ oldYmin OldYmax@ Oldkoefx Oldkoefy Rows4 Column1x,,x,2,0,1,8,1,0,1,1,0,0,0,0,2,8,14 Column2y,,y,2,0,1,1,2,9,1,2,0,0,0,0,0,1,1|TablePopulation LineNumbers ColumnLetters Grid KeepRatio NameAsConnection HasOld OldXLabel OldYLabel OldShift OldColor  OldWidth OldConnect OldPoints Oldaxis oldXmin OldXmax@ oldYmin OldYmax@ Oldkoefx Oldkoefy Rows9 Column1t,Takt,t,2,0,35,8,1,0,0,1,0,0,0,0,2,8,14 Column2x,,x,2,0,2,3,1,3,0,2,0,0,0,0,0,3,1Screen$ Quadrant1GRAPH,Histogramm Quadrant2EMPTY, Quadrant3DRAWING,Mice$ Quadrant4GRAPH,Population ActiveQuad IsMaximized ShowBox ShowPrg ProgXRel0 @ ProgYRel @ ProgWRel @ ProgHRel @ DebugListW ShowMenu ShowButtons ShowEdit QuadrantData1 1 0 2 9 4 @ @? @ @? @{Gz? @9Lq? @ @9Lq? 8 1 0 @P>L@ @ x 0 QuadrantData3 1 0  QuadrantData4x 1 0 1 3 0 @ @@ @ @@ 8 3 1 @@ @ x  NewScreen$ Quadrant1GRAPH,Histogramm NewQuadrant1% NewOmschrijving1Histogramm Quadrant2EMPTY, NewQuadrant2 NewOmschrijving2 Quadrant3DRAWING,Mice NewQuadrant3 NewOmschrijving3Mice$ Quadrant4GRAPH,Population NewQuadrant4% NewOmschrijving4Population: GrModMain Mode Changed MainModel alwaysmonitorfalse eM11`? eM12 eM21 eM22`? eDx eDy^&ModelXML ! 0 36  1 % RK4 2 differential ; false 0  1 1   16711680 412 137 MS Sans Serif 8 Takt 2 true true south false false 0 false false false false 16711680 true   16711680 314 84 MS Sans Serif 8 Rekursion 2 true true south true t=0 xstart y false xneu false false false false 16711680   16711680 344 133 MS Sans Serif 8 Vermehrungsfaktor 2 true true south false false 3.5 false false false false 16711680   16711680 261 125 MS Sans Serif 8 2 true true south false false 0.17 false false false false 16711680   0 282 103 MS Sans Serif 8 2 true false south false false false false false false 16711680 xstart 266 117 x 304 92 269 103 292 101   16711680 408 74 MS Sans Serif 8 2 true true south false false a*x*(1-x) false false false false 16711680   0 361 82 MS Sans Serif 8 2 true false south false false false false false false 16711680 x 327 84 y 396 78 347 84 374 82   0 371 102 MS Sans Serif 8 2 true false south false false false false false false 16711680 a 349 125 y 399 83 354 107 385 97   0 427 108 MS Sans Serif 8 2 true false south false false false false false false 16711680 t 426 127 y 413 86 439 118 419 100   16711680 352 173 MS Sans Serif 8 2 true true south false false Je nher man sich mit dem Vermehrungsfaktor dem FEIGENBAUM-Punkt a=3,57 nhert, um so instabiler wird das System und die Population gert durch Periodenverdopplung ins Chaos. Die Grafik zeigt eine Periode 4 false false false false 16711680 false grcomment }  16711680 458 66 MS Sans Serif 8 2 true true south false false Startpoplation xstart = 0,17 Vermehrungsfaktor a = 3,5 ralative Populationsstrke x bzw. y false false false false 0 false grcomment  * MDAnimations NResults Name Number ResultChannel10 ResultChannel2a ResultChannel3dt ResultChannel4t ResultChannel5x ResultChannel6xstart ResultChannel7y\  BinaryResults%@?{Gz?{Gz?@??dZB>?{Gz?dZB>?@?@ S?{Gz? 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