<?xml version="1.0" encoding="UTF-8"?>
<quiz>
	<!--Titre du QCM-->
	<question type="category">
		<category>
			<text><![CDATA[<infos><name>E1: automatismes 1ere bac -</name><answernumbering>123</answernumbering><niveau>1ERE</niveau><matiere>MATHEMATIQUES</matiere></infos>]]></text>
		</category>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A1 : Quelle est la valeur de l'inverse du double de 5 ?]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">Quelle est la valeur de l'inverse du double de 5 ?</div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">5</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 12px;"><img data-latex="\frac{1}{10}" alt="\frac{1}{10}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAmBAMAAADD6y0oAAAAHlBMVEX///94eHgAAAC5ubk0NDSEhIQYGBjR0dGXl5dQUVHU43lnAAAAZ0lEQVR4nGNgIATYJyJxmF0UkeWYB5LH7qLmgd3J5IJAQQgIAPNCoSCAMkPZnRkYSlyghrC6KDMwpDJkQOUYlRk4FBjEEDzOBIagAjiPxYHByIAMHtAUoQIcNiBs53BTcQe6TADDxQA0ZBJVzcZvvAAAAABJRU5ErkJggg=="></span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">2</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">10</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A1 : On considère la relation 𝐹 ]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On considère la relation :</span></div><div style="font-family: Arial; font-size: 13px;">&nbsp;<img data-latex="𝐹=𝑎+\frac{b}{cd}" alt="𝐹=𝑎+\frac{b}{cd}" src="data:image/png;base64,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"><br><img data-latex="Lorsque:a=\frac{1}{2},b=3,c=4,d=-\frac{1}{4}" alt="Lorsque:a=\frac{1}{2},b=3,c=4,d=-\frac{1}{4}" src="data:image/png;base64,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"></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">La valeur de 𝐹 est égale à:</span></div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="-\frac{5}{2}" alt="-\frac{5}{2}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB4AAAAmBAMAAAAhNzZRAAAAHlBMVEX////6+vozMzN7e3sAAAC0tLQQEBBMTEyUlJTS0tLA0huCAAAAkElEQVR4nGNgwAVmovFDnJQEkPlhboUo8sFo6jH4Rako/DCBkAnIfEkGlgJUHSwJyDwlBhYFZH4SmnoLBjMU85iVKhloCDiMjY1NwQwlIFBG8KlmQZkqCj+coSQAmV/KIILi/zQB1PBSE0CVZ2RoQdHPwJiBaiFTAyq/ggElPDkaGFDMC1NSQ+GnuLgYMGAAAD2MFcZyF0pyAAAAAElFTkSuQmCC"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="-\frac{3}{2}" alt="-\frac{3}{2}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB4AAAAmBAMAAAAhNzZRAAAAHlBMVEX//////v82NzYAAACBgYHt7e21tbURERFpaWmXl5eAs5rIAAAA3klEQVR4nH1QPQvCMBS8qB26veLkVoq2jkL/QKFF10AdHIsOrsWC4ia46Fbo4N81bdN8WPAgIfd4d7n3gBZEUGDieKIEGzQLrlbhw9PC5Gl9Sky+500tpZ0nnMtg36NaMWYKsLP8gNyXD69VvTDfmP0xz0sdkrCGzCOLhyC0Bxge9qdj/KQabaJbD9wsy7YtcQOBJVPcUNBY+hfEPE3cKNRyBjriWShvETFkYj86KrvxaWlGjrjaX6dx0BRkTu/c7UEndd8oq/RGYeoXNfxhMhEH5yB6qG5xV3Gc6O4BX5aOGkraSgrcAAAAAElFTkSuQmCC"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="\frac{5}{2}" alt="\frac{5}{2}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAmBAMAAADQPG3cAAAAHlBMVEX////6+vqEhIQAAABwcHDOzs4zMzMRERG3t7dNTU205bw8AAAAgUlEQVR4nGNgQAKsATAWi3n6BCiruAQm1sCAyVJLg+phmcBSCDVFgMMIJs9hCaHFHThMIKxgB5gsZwBnAoTFOC1TgIFMoAQEDWgsooFnJcz1CmJQ17MzwNwXnAB3fQJMjJGBsxCmuR0WWoylMCGxAFYoy5UhBGpyWRrMPGNjCxTbAZvbE6gtJxsxAAAAAElFTkSuQmCC"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="\frac{3}{2}" alt="\frac{3}{2}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAmBAMAAADQPG3cAAAAHlBMVEX////+/v4FBQUxMTHOzs5zc3OHh4eztLRMTEzt7e0m2PmlAAAAwUlEQVR4nGWPOw7CMBBEZ0kiJ53poA0hny5SGuiMJXokiEQZCqij3ABxA9JwXPzFBWvZGr/dHa8BrhZIbxAB+gZk5+5AJpE+owaaIyqSyiSX8ZAWWmgsTzBBsiY4GO2dIra12c/ANjDmU8tqy96jdeEUv3YC/0E26zWHn86dRt37vh+NfKgQv04iXxiKQ69j19o1JLe5MZAWYKVlMkzaasaV7ZqvGj/aJJxfVlg/wixixy44OudNV9ovyDyvwtuKfQEknxS8fx7zFwAAAABJRU5ErkJggg=="></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A1 : On considère 𝑥, 𝑦, 𝑢 des réels non nuls tels que]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On considère 𝑥, 𝑦, 𝑢 des réels non nuls tels que :</span></div><div style="font-family: Arial; font-size: 13px;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEcAAAAqBAMAAAAT9FuoAAAAHlBMVEX///8AAAAzMzOLi4t5eXmzs7PU1NRQUFAVFRVmZmYp1EBkAAABAUlEQVR4nGNgoCqIQOakOyBxWBtgrKJGJOEgRSRF7BoCcLYiskmByCYxjSoiUdGkRiWEcJJikwGcw6khpMCACgwYiADomgZQkQsQuMIUsQA5zgwcgiCQwAySgnjHGAhMGRJBwhIMzCAeTDuYE0CRm6DWkepwGijC6gaSwCTVIkQCMFJgUMbC4QzwSIc7h22aKJsojMOK4LAzFLHDTeJMFmAWQHAaEBxNJLuZCtgVsHJEkRQxGnA4IDgBHBOg1qUKsCEcHpiQGIDMCYbwDMMF2BPg4okJhQzInHAIK6l4UhlCnLOpCYnTHo4IDyRgxtCMTRgFsAqzFxBUxFCkQlgNjQEAWBIvI2J4TpsAAAAASUVORK5CYII=" alt="\frac{1}{x}+\frac{1}{y}=\frac{1}{u}" data-latex="\frac{1}{x}+\frac{1}{y}=\frac{1}{u}"><br><span style="font-size: 16px;">On peut affirmer que :</span></div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="u=\frac{xy}{x+y}" alt="u=\frac{xy}{x+y}" src="data:image/png;base64,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"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="u=\frac{x+y}{xy}" alt="u=\frac{x+y}{xy}" src="data:image/png;base64,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"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="u=xy" alt="u=xy" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAC4AAAAaBAMAAAA6fHO/AAAAHlBMVEX////8/PwAAAAyMjLCwsJOTk6fn58XFxdra2vc3NxUjVhEAAAApElEQVR4nGNgGK6AzViAOQHKFjV2NmE0T2ArALI9Jjk4OUDFDZktK1inGrAaANmd6QxJUGGWBPZOE1H2BvYGEM+UIZhhkhIQqDMwCAFNTJowCaSfUY2hAm5ZkgADQztEP4smp1oK1JzAZoYUsH4QR4VVJRBiDmtlMWMAQygLRH97WDDUnWymzqYCDO7GKtj8wwJxPgZgLnB3wCbOZhyCM2wGDgAA/oMbXCKiyx8AAAAASUVORK5CYII="></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="u=x+y" alt="u=x+y" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADsAAAAaBAMAAAD7+zkTAAAAHlBMVEX///8AAAD19vW0tLQwMDDW1tZwcHBOTk6VlZUUFBQBR7sUAAAAvUlEQVR4nGNgGEkgGL+0GRKbw0WBpQHKVncxcYZKs7sxRAaA2IEGgQZQaScW12lQ6eZGhkaQUGonhAYC5gbOVFeodEEJQwlY0B1IBwoCgSQDg6IBzG4mCQaQQQxMwhAaDAwVGDhAKgULmEVZhcEmAulmiCRrUQpDK1Q32wQOAbCYKLtwEcRw9qlTmAqg0hwTVBzAejKLS6AeY3Y3cVeA2e3imYAnWNQUAgPwSGcGeeCQZVAF4hAXA1zSQwIAADAaHqRv3Z8gAAAAAElFTkSuQmCC"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A2 : Le prix d’un article est noté 𝑃. Ce prix augmente de]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">Le prix d’un article est noté 𝑃. Ce prix augmente de 10% puis baisse de 10%.<br>A l’issue de ces deux variations, le nouveau prix est noté 𝑃<sub>1</sub>. On peut affirmer que :</div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑃<sub>1 </sub>= 𝑃</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑃<sub>1 </sub>&gt; 𝑃</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑃<sub>1 </sub>&lt; 𝑃</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Cela dépend de 𝑃</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A3 : Le prix d’un article est multiplié par ]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">Le prix d’un article est multiplié par 0,975.<br>Cela signifie que le prix de cet article a connu :</div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="100" format="plain_text">
			<text><![CDATA[une baisse de 2,5%]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[une baisse de 25%]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[une augmentation de 97,5%]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[une augmentation de 0,975%]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A4 : On a représenté ci-dessous la parabole d’équation ]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On a représenté ci-dessous la parabole d’équation 𝑦 = 𝑥².</span><br><span style="font-size: 16px;">On note (ℐ) l’inéquation, sur R, 𝑥<sup>2 </sup>≥ 10.</span><br><span style="font-size: 16px;">L’inéquation (ℐ) est équivalente à :</span></div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAAO0AAACrCAIAAAAFLoypAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="100" format="plain_text">
			<text><![CDATA[x ≤ -√10 ou x ≥ √10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[x = -√10 ou x = √10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[-√10 ≤ x ≤ √10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[x ≥ √10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A4 : On a représenté ci-contre une droite 𝒟 dans un repère orthonormé. ]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">On a représenté ci-contre une droite 𝒟 dans un repère orthonormé. Une équation de la droite 𝒟 est :</div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAARsAAADdCAIAAAAEiUFrAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="y=-\frac{3}{2}x+2" alt="y=-\frac{3}{2}x+2" src="data:image/png;base64,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"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEYAAAAmBAMAAACL9PDtAAAAHlBMVEX////8/PwAAABxcXEwMDDS0tK0tLROTk6Ojo4SEhJhmLhZAAABTUlEQVR4nLWUT0+DMBjGX4TSceNAsuxmOpk7Etk03raAIbsx5gcgRE284UL02jATPfrfr2tLYNiE8HrxSZqS9teHpy+0AP+is+8YQ3TuvGKMBeYUY5KFeYwxowXuowFF8wDcovsC7RO3cWKCMnPYYIj+EeL1YWyiDJDivXfBtWiOXXp9zKloOzBeRDcIweDK5GXwuKyZbWq4otskaZIqGfKD+6+aOUkrn3lpl4qNHic3dzWjQVLliaCANybkws73feGZ2U0eOSvRKez39ywkmBkAlYsYBz2X46ZL1JoMvAC8xucJ1jKiSw+bd1WyLsakYcRDZXS+WqiZo6ugyTMKV1V9Ykstz+8abhmTBhl/2A9rszBWmFrDsP0iNDfaf3Xd6Q6Gq0+6Z1oRTl2Mgbr0/Qh6BGWiJc6YY4wYcvMIY7K/3AkpRQ8qKSL8vHfqB4zSNYcSa+nSAAAAAElFTkSuQmCC" alt="y=\frac{2}{3}x+2" data-latex="y=\frac{2}{3}x+2"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="2x-3y-6=0" alt="2x-3y-6=0" src="data:image/png;base64,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"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img src="data:image/png;base64,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" alt="\frac{x}{3}+\frac{y}{2}-1=0" data-latex="\frac{x}{3}+\frac{y}{2}-1=0"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A4 : On considère trois fonctions définies sur R]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">On considère trois fonctions définies sur R :</div><div style="font-family: Arial; font-size: 13px;">&nbsp;</div><div style="font-family: Arial; font-size: 13px;"><img data-latex="f_1:x\rightarrow x^2-(1-x)^2" alt="f_1:x\rightarrow x^2-(1-x)^2" src="data:image/png;base64,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"> &nbsp; &nbsp; &nbsp;</div><div style="font-family: Arial; font-size: 13px;"><img data-latex="f_2:x\rightarrow\frac{x}{2}-(1-\frac{1}{\sqrt{2}})" alt="f_2:x\rightarrow\frac{x}{2}-(1-\frac{1}{\sqrt{2}})" src="data:image/png;base64,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"></div><div style="font-family: Arial; font-size: 13px;"><img data-latex="f_3:x\rightarrow\frac{5-\frac{2}{3}x}{0,7}" alt="f_3:x\rightarrow\frac{5-\frac{2}{3}x}{0,7}" src="data:image/png;base64,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"></div><div style="font-family: Arial; font-size: 13px;">Parmi ces trois fonctions, celles qui sont des fonctions affines sont :</div>]]></text>
		</questiontext>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[Aucune]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[toutes]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">uniquement la fonction 𝑓<sub>1</sub></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">uniquement la fonction 𝑓<sub>2</sub> et 𝑓<sub>3</sub></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A4 : On a représenté ci-contre une parabole 𝒫.]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;">On a représenté ci-contre une parabole 𝒫.<br>Une seule des quatre fonctions ci-dessous est susceptible d’être représentée par la parabole 𝒫. Laquelle ?</div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAAREAAAC5CAIAAACAzpzuAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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=]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[x ↦ x² + 10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[x ↦ -x² - 10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="plain_text">
			<text><![CDATA[x ↦ -x² + 10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="plain_text">
			<text><![CDATA[x ↦ x² - 10]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A4 : On a représenté ci-dessous la courbe 𝒞 d’une fonction 𝑓.]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On a représenté ci-dessous la courbe 𝒞 d’une fonction 𝑓.</span><br><span style="font-size: 16px;">Les points A, B, R et S appartiennent à la courbe 𝒞.</span><br><span style="font-size: 16px;">Leurs abscisses sont notées respectivement 𝑥<sub>𝐴</sub>, 𝑥<sub>𝐵</sub>, 𝑥<sub>𝑅</sub> et 𝑥<sub>𝑆</sub>.</span><br><span style="font-size: 16px;">L’inéquation 𝑥×𝑓(𝑥)&gt;0 est vérifiée par :</span></div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAAQ8AAAC4CAIAAABy9f4QAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥<sub>𝐴</sub> et 𝑥<sub>𝐵</sub></span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥<sub>𝐴</sub> et 𝑥<sub>𝑅</sub></span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥<sub>𝐴 </sub>et 𝑥<sub>𝑆</sub>.</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥<sub>𝐴</sub> , 𝑥<sub>𝐵</sub> et 𝑥<sub>𝑆</sub>.</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<tags>
			<tag>
				<text>compulsory</text>
			</tag>
		</tags>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A5 : Voici une série de notes avec les coefficients associés.]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Voici une série de notes avec les coefficients associés.</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On note 𝑚 la moyenne de cette série. Que doit valoir 𝑥 pour que 𝑚 =15 ?</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;"><strong>Note </strong>: 10&nbsp; &nbsp; <strong>Coefficient</strong> :1</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;"><strong>Note </strong>: 8&nbsp; &nbsp; <strong>Coefficient</strong> :2</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;"><strong>Note </strong>: 16&nbsp; &nbsp; <strong>Coefficient</strong> : <em><span style="font-family: 'times new roman', times;">x</span></em></span></div><div style="font-family: Arial; font-size: 13px;">&nbsp;</div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAAUAAAAAcCAIAAACfyfHFAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">impossible</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="x=10^{-3}" alt="x=10^{-3}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADwAAAAaBAMAAAAZJyJqAAAAHlBMVEX///8AAAA7OzvT09N1dXVdXV2xsbETExMpKSmPj49WBqbdAAAArUlEQVR4nGNgoBGYoolPlrk4Ea9u5UQDvPJOGCLpDAxsTW0QNksxumxQIQODoYGhgYmLiwsDgzmG4YpAJQxMAWCnOTA6gLW0aUxAki5lYCoAMTkLGBOAFGuCu1EDkrQIA4sAmB0K9jcrQwTTBGzSMNAKdI8gEIhjlxZDcRqaNJOZADOy4UVQp0HBxCQBVgMkw2EegwIjzQhlZMNBwYIeHFAQVKgEDFQ1HLIjCAAA6hgY6cbvQe8AAAAASUVORK5CYII="></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥 = 3</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">𝑥 = 19</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<tags>
			<tag>
				<text>compulsory</text>
			</tag>
		</tags>
	</question>
	<question type="multichoice">
		<name>
			<text><![CDATA[A6 : On lance un dé à 4 faces.]]></text>
		</name>
		<questiontext format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">On lance un dé à 4 faces. La probabilité d’obtenir chacune des faces est donnée dans le tableau ci-dessous :</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Face numéro 1 : 0,5</span></div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Face numéro 2 : <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABEAAAAmBAMAAADQPG3cAAAAHlBMVEX////+/v6DhIQAAAC4t7hycnIwMDARERHPz89MTEziCyklAAAAtElEQVR4nE1POw7CMAy1owYYHUEvwMAJ0s5IuUBWdtTCRiWGjJV6gR6ZxK5TLCXy531sAEDYg7gigNNz65jB68x6hubPeqXlbONbT4WYH+NKinlKrInKIOaKXquZGfuXkMGRtDLW/S3mZDkN1ALxmuPOFWdU76EdXo8rMkhQxdohohTv5is9+7kkdoPjqsTlMc5iF5JJskBYoRNciNQXU6RzhF7sDyt2wm0mM20yt2GuqxSrH80xE2XcTeGnAAAAAElFTkSuQmCC" alt="\frac{1}{6}" data-latex="\frac{1}{6}"></span></div><div style="font-family: Arial; font-size: 13px;">&nbsp;</div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Face numéro 3 : 0,2</span></div><div style="font-family: Arial; font-size: 13px;">&nbsp;</div><div style="font-family: Arial; font-size: 13px;"><span style="font-size: 16px;">Face numéro 4 : <span style="font-family: 'times new roman', times;"><em>x</em></span></span></div><div style="font-family: Arial; font-size: 13px;">&nbsp;</div>]]></text>
		</questiontext>
		<image_base64>
			<text><![CDATA[iVBORw0KGgoAAAANSUhEUgAAAUAAAAAlCAIAAAC8vKegAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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]]></text>
		</image_base64>
		<externallink/>
		<usecase>1</usecase>
		<defaultgrade>1</defaultgrade>
		<single>true</single>
		<answer fraction="100" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="x=\frac{2}{15}" alt="x=\frac{2}{15}" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAmBAMAAABwowUyAAAAHlBMVEX////9/f0AAAB1dXUvLy+JiYm2trbPz89LS0sSEhIeHjdmAAAA5ElEQVR4nKWRzQsBURTFz5spM8spCTsmKTthFnbiRXYSC7vX2LCbJCypkewk8e/6muTjPBbO7p7fu/e89y7wt8zthgNPtB0KdvA7zLdy8JcMiIOmAw62PAOxE/eRDrgvWuDEDKwiBVVZ5+9wXVdp0n+r0gzpVFNVFzUGbIT2e0f0KQ1gcrmMW0C8fJd380X+cTLRj3QtUrOsRcO7o4wdRKNeNF1XNOt/15y6UwU/Jz932KsrjAsr0lFSGD6VQgdeO8IjB2PHJ1u/gCSMJQWAsaNAwqhRcNCN8jD4DO/tZWDKr596BnBXLA7W8mvsAAAAAElFTkSuQmCC"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><img data-latex="x=\frac{2}{3}" alt="x=\frac{2}{3}" src="data:image/png;base64,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"></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-family: 'times new roman', times; font-size: 16px;"><em>x</em> = 0,4</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
		<answer fraction="0" format="html">
			<text><![CDATA[<div style="font-family: Arial; font-size: 13px;"><span style="font-family: 'times new roman', times; font-size: 16px;"><em>x</em> = 0,1</span></div>]]></text>
			<feedback>
				<text><![CDATA[]]></text>
			</feedback>
		</answer>
	</question>
</quiz>