<?xml version="1.0" encoding="UTF-8"?>
<quiz>
<!-- question: 4378  -->
  <question type="formulas">
    <name>
      <text>02 Vector components</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<!--
Notes
- Vector W has components Wx and Wy.
- In upper case, W, Wx and Wy are labels, not variables
- In the graph, there are:
   . the components wx and wy of vector w
   . the components u and v that students must adjust to match wx and wy

Formulas variables
r                         random values for wx and wy
wx_answer       numerical answer Wx (answer box #1)
wy_answer       numerical answer Wy (answer box #2) 
u                         graphical answer u (answer box #3)
v                         graphical answer v (answer box #4) 
wx                      graphical answer wx (answer box #5) 
wy                      graphical answer wy (answer box #6)
w_given             backcalculated scalar value (length) of W
theta                  intermediate value of the angle between positive x axis and W in degrees
theta360           value of the angle between positive x axis and W in degrees            

Script variables
u                         x-coodinate of the tip of vector u
v                         y-coodinate of the tip of vector v
wx                      x-coodinate of the tip of vector w
wy                      y-coodinate of the tip of vector w
u_store              name of storage element for u
v_store              name of storage element for v
wx_store           name of storage element for wx
wy_store           name of storage element for wy
u_get                 value of u read from answer box
v_get                 value of v read from answer box
wx_get              value of wx read from answer box
wy_get              value of wy read from answer box

JSXGraph variables
u                         x-coodinate of the tip of vector u
                           vector u is constrained to remain horizontal
                           only the x-coodinate of the tip of vector u is required herein
v                         y-coodinate of the tip of vector v
                           vector v is constrained to remain vertical
                           only the y-coodinate of the tip of vector v is required herein
wx                      x-coodinate of the tip of vector w
wy                      y-coodinate of the tip of vector w
uP1                    start point (initial or tail) of vector u
uP2                    end point (terminal or head) of vector u
vP1                    start point of vector v
vP2                    end point of vector v
wP1                   start point of vector w
wP2                   end point of vector w
uvP                    coincident end point of lines parallell to u and v
wuP                   end point for line parallel to wx
wvP                   end point for line parallel to wy
Line 1                line parallet to u
Line 2                line parallet to v
Line 3                line parallet to wy
Line 4                line parallet to wx
uArrow              vector u
vArrow              vector v
wArrow             vector w
u_s                     value of u in displaced position (read every second)
v_s                     value of v in displaced position (read every second)
wx_s                  value of wx in displaced position (read every second)
wy_s                  value of wy in displaced position (read every second)
-->

<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
<script>
function resetGraph() {
    // Define the initial values of vectors u, v and w
    var u = 10;
    var v = 10;
    var wx = 10;
    var wy = 10;

    // Place the above values in the answer boxes
    $("input.formulas_number:eq(2):text").val(u);
    $("input.formulas_number:eq(3):text").val(v);
    $("input.formulas_number:eq(4):text").val(wx);
    $("input.formulas_number:eq(5):text").val(wy);

    // Save the above values in session storage
    sessionStorage.setItem("u_store", u);
    sessionStorage.setItem("v_store", v);
    sessionStorage.setItem("wx_store", wx);
    sessionStorage.setItem("wy_store", wy);
}

$(window).on( "load", function() {

    // Get the values of vectors u, v and w from the answer boxes
    $("input.submit").on("focus", function(){
        var u_get = $("input.formulas_number:eq(2):text").val();
        var v_get = $("input.formulas_number:eq(3):text").val();
        var wx_get = $("input.formulas_number:eq(4):text").val();
        var wy_get = $("input.formulas_number:eq(5):text").val();

        // Save the above values in session storage
        sessionStorage.setItem("u_store", u_get);
        sessionStorage.setItem("v_store", v_get);
        sessionStorage.setItem("wx_store", wx_get);
        sessionStorage.setItem("wy_store", wy_get);
    });

    // Hide answer boxes #3, #4, #5 and #6
    $("input.formulas_number:eq(2)").css("display","none");
    $("input.formulas_number:eq(3)").css("display","none");
    $("input.formulas_number:eq(4)").css("display","none");
    $("input.formulas_number:eq(5)").css("display","none");

    // Position the green check mark (correct) or red cross mark (incorrect)
    // Note. There may be a simpler way to do this, but this is the best I could get.
    $("div.formulaspart:eq(2)").css("position","relative");
    $("div.formulaspart:eq(3)").css("position","relative");
    $("div.formulaspart:eq(4)").css("position","relative");
    $("div.formulaspart:eq(5)").css("position","relative");
    $("div.formulaspart:eq(2) .icon").css("position","absolute");
    $("div.formulaspart:eq(3) .icon").css("position","absolute");
    $("div.formulaspart:eq(4) .icon").css("position","absolute");
    $("div.formulaspart:eq(5) .icon").css("position","absolute");
    $("div.formulaspart:eq(2) .icon").css("left","87px");
    $("div.formulaspart:eq(3) .icon").css("left","139px");
    $("div.formulaspart:eq(4) .icon").css("left","184px");
    $("div.formulaspart:eq(5) .icon").css("left","198px");
    $("div.formulaspart:eq(2) .icon").css("top","-28px");
    $("div.formulaspart:eq(3) .icon").css("top","-40px");
    $("div.formulaspart:eq(4) .icon").css("top","-40px");
    $("div.formulaspart:eq(5) .icon").css("top","-40px");
});
</script>

<!-- Question text -->
<h3 style="margin-top: 5px;">
    Resolve a vector into components
</h3>
<p>
    Vector W has a magnitude of {w_given} and direction {theta360} degrees measured anti-clockwise from the positive x-axis.
</p>
<p>
    The black vector W needs to be adjusted to fit to the given coordinates. Proceed as follows:
</p>
<ol>
    <li>
        Calculate the component vectors Wx and Wy:<br>
        <div style="margin:5px 0 -12px;"><div style="display:inline-block;">{#1}</div> &nbsp;
        <div style="display:inline-block;">{#2}</div></div>
    </li>
    <li>
        Draw the component vectors Wx (blue) and Wy (red).<br>
        <i>Hint: Drag and stretch the component vectors so that they form a rectangular triangle with Vector W.</i>
    </li>
    <li style="margin-top:5px;">
        Draw Vector W (black) using the tail-to-tip method.
    </li>
</ul>
<br>

<!-- *************** For debugging only. Remove in final version. -->
<p>
    <b>Note.</b>The correct answer is Wx = {wx_answer}, Wy = {wy_answer}.
</p>
<!-- *************** -->

<!-- Reset button -->
<button style="margin: 10px 0 0 0;" onclick="resetGraph()">
    Reset graph
</button>

<!-- JXSGraph -->
<div style="display: flex; margin-top:25px;">
    <div>

        <!-- Define a unique box name using the creation date -->
        <jsxgraph width="560" height="560" box="box202009121644">
JXG.Options.point.cssClass = 'boldc';
            var brd = JXG.JSXGraph.initBoard('box202009121644', {boundingbox:[-18,18,18,-18], axis:true, showNavigation:false, showCopyright:false});

            // Labels for x and y axes
            brd.create('text', [16, -2, 'x'], {fontSize:22});
            brd.create('text', [1, 16, 'y'], {fontSize:22});

            // Retreive the values of vectors u, v and w
            var u = parseInt(sessionStorage.getItem("u_store"));
            var v = parseInt(sessionStorage.getItem("v_store"));
            var wx = parseInt(sessionStorage.getItem("wx_store"));
            var wy = parseInt(sessionStorage.getItem("wy_store"));

            // Create end points for vector u (= Wx)
            var uP1 = brd.create('point',
                                [0,0],
                                {name:'',snapToGrid:true, size:3, face:'[]', color:'#00F'});
            brd.on('move', function(){
                 uP1.moveTo([0,uP1.Y()]);
            });
            var uP2 = brd.create('point',
                                [u,0],
                                {name:'',snapToGrid:true, size:1, color:'#0A0'});
            brd.on('move', function(){
                 uP2.moveTo([uP2.X(),uP1.Y()]);
            });

            // Create end points for vector v (= Wy)
            var vP1 = brd.create('point',
                                [0,0],
                                {name:'',snapToGrid:true, size:3, face:'[]', color:'#F00'});
            brd.on('move', function(){
                 vP1.moveTo([vP1.X(),0]);
            });
            var vP2 = brd.create('point',
                                [0,v],
                                {name:'',snapToGrid:true, size:1, color:'#0A0'});
            brd.on('move', function(){
                 vP2.moveTo([vP1.X(),vP2.Y()]);
            });

            // Create end points for vector w (=W)
            var wP1 = brd.create('point',
                                [0,0],
                                {name:'',size:0, color:'#808080', fixed:true});
            var wP2 = brd.create('point',
                                [wx,wy],
                                {name:'',snapToGrid:true, size:1, color:'#0A0'});

            // Create end point for lines parallel to u and v
            var uvP = brd.create('point',
                                [uP2.X(),vP2.Y()],
                                {name:'',size:0, fixed:true});
            brd.on('move', function(){
                 uvP.moveTo([uP2.X(),vP2.Y()]);
            });
            // Create end point for line parallel to wx
            var wuP = brd.create('point',
                                [wP2.X(),0],
                                {name:'',size:0, fixed:true});
            brd.on('move', function(){
                 wuP.moveTo([wP2.X(),0]);
            });
            // Create end point for line parallel to wy
            var wvP = brd.create('point',
                                [0,wP2.Y()],
                                {name:'',size:0, fixed:true});
            brd.on('move', function(){
                 wvP.moveTo([0,wP2.Y()]);
            });

            // Plot parallel lines
            var Line1 = brd.create('segment', [uP2,uvP], {color:'#999', strokeWidth:1});
            var Line2 = brd.create('segment', [vP2,uvP], {color:'#999', strokeWidth:1});
            var Line3 = brd.create('segment', [wP2,wuP], {color:'#999', strokeWidth:1});
            var Line4 = brd.create('segment', [wP2,wvP], {color:'#999', strokeWidth:1});

            // Plot v (=Wy)
            var vArrow = brd.create('arrow', [vP1,vP2], {color:'#F00', strokeWidth:3, dash:2, label:{position:'bot',autoPosition: true, offset:[10,10]}});
            // Use setLabel rather than name: otherwise the name is not displayed
            vArrow.setLabel("Wy");

            // Plot u (=Wx)
            var uArrow = brd.create('arrow', [uP1,uP2], {color:'#00F', strokeWidth:3, dash:2, label:{position:'bot',autoPosition: true, offset:[10,10]}});
            // Use setLabel rather than name: otherwise the name is not displayed
            uArrow.setLabel("Wx");

            // Plot w (=W)
            var wArrow = brd.create('arrow', [wP1,wP2], {color:'#000', strokeWidth:3, lastArrow:{type:1}, label:{position:'bot',autoPosition: true, offset:[10,10]}});
            // Use setLabel rather than name: otherwise the name is not displayed
            wArrow.setLabel("W");

            // Get the values the values of vectors u, v and w
            g = setInterval(function(){
                u_s = uP2.X();
                v_s = vP2.Y();
                wx_s = wP2.X();
                wy_s = wP2.Y();

            // Place the above values in the answer boxes
                $("input.formulas_number:eq(2):text").val(u_s);
                $("input.formulas_number:eq(3):text").val(v_s);
                $("input.formulas_number:eq(4):text").val(wx_s);
                $("input.formulas_number:eq(5):text").val(wy_s);

            // Place the above values in session storage
                sessionStorage.setItem("u_store", u_s);
                sessionStorage.setItem("v_store", v_s);
                sessionStorage.setItem("wx_store", wx_s);
                sessionStorage.setItem("wy_store", wy_s);
            }, 1000);
        </jsxgraph>
    </div>
</div>

<!-- Answer boxes #3, #4, #5 and #6 -->
<p style="margin-top:10px;">Graph: &nbsp; Wx &nbsp; &nbsp; &nbsp; Wy  &nbsp; &nbsp; &nbsp; W</p>
{#3}{#4}{#5}{#6}]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>7</defaultgrade>
    <penalty>0</penalty>
    <hidden>0</hidden>
    <idnumber>question_20200910_2118</idnumber>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
<varsrandom><text>r = shuffle([-15,-14,-13,-12,-11,-10,-9,-8,-7,7,8,9,10,11,12,13,14,15]);
</text>
</varsrandom>
<varsglobal><text><![CDATA[# Numerical (answer boxes #1 and #2)
wx_answer = r[0];
wy_answer = r[1];

# Graph (answer boxes #3, #4, #5 and #6)
u = wx_answer;
v = wy_answer;
wx = wx_answer;
wy = wy_answer;


# Given
w_given = round(sqrt(wx**2+wy**2),1);
theta = round(180*atan(wy/wx)/pi(),1);
theta360 = wx > 0 ? theta : theta+180;
]]></text>
</varsglobal>
<answernumbering><text>none</text>
</answernumbering>
<answers>
 <partindex>
  <text>0</text>
 </partindex>
 <placeholder>
  <text>#1</text>
 </placeholder>
 <answermark>
  <text>2</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>wx_answer</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.01]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text><![CDATA[x-coordinate Wx = {_0}&nbsp;]]></text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
<answers>
 <partindex>
  <text>1</text>
 </partindex>
 <placeholder>
  <text>#2</text>
 </placeholder>
 <answermark>
  <text>2</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>wy_answer</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.01]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text><![CDATA[y-coordinate Wy = {_0}&nbsp;]]></text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
<answers>
 <partindex>
  <text>2</text>
 </partindex>
 <placeholder>
  <text>#3</text>
 </placeholder>
 <answermark>
  <text>1</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>u</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.02]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text>{_0}</text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
<answers>
 <partindex>
  <text>3</text>
 </partindex>
 <placeholder>
  <text>#4</text>
 </placeholder>
 <answermark>
  <text>1</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>v</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.02]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text>{_0}</text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
<answers>
 <partindex>
  <text>4</text>
 </partindex>
 <placeholder>
  <text>#5</text>
 </placeholder>
 <answermark>
  <text>0.5</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>wx</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.02]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text>{_0}</text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
<answers>
 <partindex>
  <text>5</text>
 </partindex>
 <placeholder>
  <text>#6</text>
 </placeholder>
 <answermark>
  <text>0.5</text>
 </answermark>
 <answertype>
  <text>0</text>
 </answertype>
 <numbox>
  <text>1</text>
 </numbox>
 <vars1>
  <text></text>
 </vars1>
 <answer>
  <text>wy</text>
 </answer>
 <vars2>
  <text></text>
 </vars2>
 <correctness>
  <text><![CDATA[_relerr < 0.02]]></text>
 </correctness>
 <unitpenalty>
  <text>1</text>
 </unitpenalty>
 <postunit>
  <text></text>
 </postunit>
 <ruleid>
  <text>1</text>
 </ruleid>
 <otherrule>
  <text></text>
 </otherrule>
 <subqtext format="html">
<text>{_0}</text>
 </subqtext>
 <feedback format="html">
<text></text>
 </feedback>
 <correctfeedback format="html">
<text></text>
 </correctfeedback>
 <partiallycorrectfeedback format="html">
<text></text>
 </partiallycorrectfeedback>
 <incorrectfeedback format="html">
<text></text>
 </incorrectfeedback>
</answers>
  </question>

</quiz>