Algebra, NAP_22045
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
Variant 0
DifficultyLevel
646
Question
Vlad uses the formula below to estimate the population of wombats in Kosciuszko National Park over a three year period.
Year 1 = 900
Year 2 = Year 1 + 30Year 1
Year 3 = Year 2 + 30Year 2
Estimate the population of wombats in Kosciuszko National Park in Year 3?
Worked Solution
Year 1 = 900
Year 2 = 900 + 30900 = 930
Year 3 = 930 + 30930 = 961
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Vlad uses the formula below to estimate the population of wombats in Kosciuszko National Park over a three year period.
>Year 1 = 900
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{30}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{30}$
Estimate the population of wombats in Kosciuszko National Park in Year 3? |
| workedSolution | Year 1 = 900
Year 2 = 900 + $\dfrac{900}{30}$ = 930
Year 3 = 930 + $\dfrac{930}{30}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 961 | |
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
Variant 1
DifficultyLevel
648
Question
Morgan uses the formula below to estimate the population of Tasmanian devils in a breeding program over a three year period.
Year 1 = 300
Year 2 = Year 1 + 10Year 1
Year 3 = Year 2 + 10Year 2
Estimate the population of Tasmanian devils in Year 3?
Worked Solution
Year 1 = 300
Year 2 = 300 + 10300 = 330
Year 3 = 330 + 10330 = 363
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Morgan uses the formula below to estimate the population of Tasmanian devils in a breeding program over a three year period.
>Year 1 = 300
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{10}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{10}$
Estimate the population of Tasmanian devils in Year 3? |
| workedSolution | Year 1 = 300
Year 2 = 300 + $\dfrac{300}{10}$ = 330
Year 3 = 330 + $\dfrac{330}{10}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 363 | |
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
Variant 2
DifficultyLevel
650
Question
Kurt uses the formula below to estimate the population of humpback whales in the Eastern migration over a three year period.
Year 1 = 40 000
Year 2 = Year 1 + 40Year 1
Year 3 = Year 2 + 40Year 2
Estimate the population of humpback whales in Year 3?
Worked Solution
Year 1 = 40000
Year 2 = 40000 + 4040000 = 41000
Year 3 = 41000 + 4041000 = 42025
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Kurt uses the formula below to estimate the population of humpback whales in the Eastern migration over a three year period.
>Year 1 = 40 000
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{40}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{40}$
Estimate the population of humpback whales in Year 3? |
| workedSolution | Year 1 = 40000
Year 2 = 40000 + $\dfrac{40000}{40}$ = 41000
Year 3 = 41000 + $\dfrac{41000}{40}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 42025 | |
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
Variant 3
DifficultyLevel
652
Question
Bianca uses the formula below to estimate the population of female sea turtles on the Caribbean coast over a three year period.
Year 1 = 30000
Year 2 = Year 1 + 30Year 1
Year 3 = Year 2 + 30Year 2
Estimate the population of female sea turtles in Year 3?
Worked Solution
Year 1 = 30000
Year 2 = 30000 + 2030000 = 31500
Year 3 = 31500 + 2031500 = 33075
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Bianca uses the formula below to estimate the population of female sea turtles on the Caribbean coast over a three year period.
>Year 1 = 30000
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{30}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{30}$
Estimate the population of female sea turtles in Year 3? |
| workedSolution | Year 1 = 30000
Year 2 = 30000 + $\dfrac{30000}{20}$ = 31500
Year 3 = 31500 + $\dfrac{31500}{20}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 33075 | |
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
Variant 4
DifficultyLevel
654
Question
Gina uses the formula below to estimate the population of fairy penguins on Phillip Island over a three year period.
Year 1 = 32000
Year 2 = Year 1 + 16Year 1
Year 3 = Year 2 + 16Year 2
Estimate the population of fairy penguins in Year 3?
Worked Solution
Year 1 = 32000
Year 2 = 32000 + 1632000 = 34000
Year 3 = 34000 + 1634000 = 36125
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Gina uses the formula below to estimate the population of fairy penguins on Phillip Island over a three year period.
>Year 1 = 32000
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{16}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{16}$
Estimate the population of fairy penguins in Year 3? |
| workedSolution | Year 1 = 32000
Year 2 = 32000 + $\dfrac{32000}{16}$ = 34000
Year 3 = 34000 + $\dfrac{34000}{16}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 36125 | |
U2FsdGVkX18Uf3oygIowiI5X+szEtYCOCupodVw8gjiS8d0pBOZmEur770ZHQpg2tVyioQQHMP/V1jpx5Bg9bohOaWoibi9AvblA1XUb5gC0ujub1V94E4NFpG+cTGu0wpS8cM1i/WLMpFwButFGeLXKWdSHC+4cAcsb2tvqZAQKqzZDIFl5zXIBoSYFvY2S7T6jDrNrgf4UczGRxuVtNu2aCo3KY6eNuVlm8YLRAC78DzthfNwZ6a7OAKgvVuQF64J8imvq5yFCJ5xUsENfJdkxpye0pa5NF0u7rcYI1GXNelTuDglUO2O8Iwn/J2RP2tk0ny7KV1+N6W+SzWpZH9nfVRHRmCYVO3R7n2bAG2jDeF8wG412gMc1kZKtLTfY3HyZ5PsLDrwXlyojU8tHwJ+rkseqX34KEZk3W3S2iSa48siTbLPs045G5gR42rNM1i5EHKODuNbVCUarVNzdylb4zR+pk5s9eE6ZXkrCNMWEri732xqcXjy6XUXt5QnbcGP9FRF+WT/v/T1SC4BdWRwSoDYr/Gy5T9aLT0OO8+c52K9+fe4TrCEFSjFMKmKEfG+1iyiNaYun8KOqi4bLygv7N2S0Uwj3W4dZM+xRX84dGenYY2orD72LjVDrRYAKbB9CTQZuSgK4RvdbXyleQkrfqAjdhR79BOsrYplehAxtsGSDYBlZiCttb3HY5o0HZviegYtNAio0qec9E5YmJUg8x1Jyc2MzvkBPoMVzqTwCNbqG8j2nb2cmfWUXa2XTHY6A/xc7jxSpae6uNyRdF9jT63HtpXtdco/zOba/S8jAy6o8vShhDvMsREZVBRxdVW40z6/bR6T9xdYZMLk9rg6HjkqWn84WEzdwhILiLTrBEF/pql/zyUBaLSzxHhYGVYqH0La3SYvWlTgzlmP9otD31ASFK7CyMLA40a31WnYiv4RKEtKNUSOsuOPdIdoAKEqlayPWI5vkX9ITzOGuU3lkJ79hxdB4D0fENNAsX2xKVK9lIyQ8yAA+bBPYTJoU++mMw2droupvNDgQMBjWV3S2DhMujUYtjg03LjT+3H1yzTOdx0jMaF3dP4wwUG8sk9QKtwj3CmyIE1equE2dGBZM+8HiygF46Q6YCG/YOL5Ab31adXcOEWbH747W5F3QI8O6TROZSwn3wW7XJEySKegxIA/RESj3jYWvSkntxoSejnPArYJrjgTUXKP2DlIqL8wJLkzYYkXs85J0h4tN5P+0ezHQWvBlzhD/yCLHr1Kr6Y4+/FzzPqHzuuWq5Rt3LXPvtlSrV+V11eDaUQn3690xAQdJ4hhc5f0XzTBCkSfmzLmr740JD7qhg99C5DFLcBXjdRsJBePTgw4EakAN3P7AL/Yecx06AS7O091rhauj4idBNUMfya3SabztrmR3gOwbC74kibAr3bwCmwkW2PYNRdx9IG1HTVHhDln//EnXEwKs0Xv5mqSeWKcTeCG1JdlWqbsEEtvCIF/OBqDVC7R/Xmg/h+ZbtYQxss08t4nICXQopJCKTqeenA/ImDWwDXXKymMnG+CySVc1KjxjWmGgk3nat68wBygNFZjTrafdSReUWir240bNFHWZhjxyZbGM57qj7uiYCtD28oSNQBJjNzJlj4DiLr0iYGh7G1b093nqyPKtTsGxm1OxjY4Ud4J62CsxRqdzqOtrzEr0r/PZKBWPYQAfSMLWKtYd1+MKmFsPJjOWmPV+3c6J4SLJ/FRYpCIXbq5quxwcbD9EVXnPIA/u/t3VvCor7Mj/v9Nsu2VlUd3uUQaf3nBK7fIyOYvgTd61DMjbptGNT0d+Cz2LVGFSWt99M+/Ccei0yh2bGOyFcZR6tMLofzbfblbeYeItduiOP+wValTDSbaPhX8u5CLRPS0b5Q/yvV2ij1BX329BFA4sIjlHsELLixtlq/ZBnTu4RyxVq1MzmRV0opphiPVeFD4Iy5sbxnpJ9q3s4G64O0S1v+4IiT5IOc6mXFRvdStQnmfB8ho0hMDOWvm5Gj0Kg3/NESaCxaMm7axGfIEYYACAz2P9S5FO5M827eoOuIiXds2RUPYAIQxUPQTO4gBQKcWSURI7L+2RUFSTfCkbwOosACS38zIXeGYLiCkjeNUSYMFyuli7dHapu/V2reYBe6MeNqqA86mVxIBkL6g4jTLJUc87MVTXJ8kd1tp1WuYrftdPoe1X2BhhQ5UiGQDz9ZkOb88jmMeixN5zDvQ5dI41M+ow1tFnTbGlmJYqSoloh4mbRC/8DbeTeJ/s0ebXRvy1JKxyMlhP3FlLz7H629C1BglbgfynK7raQCPJW0p+8Qglj2XSWxTAdMJ1q6R9gsDb04vFKzhVudAGMR2yfuwRPEfBzU2BJZh/CjQRm5FqsKr/a95wpjXya7oTCid6z/fu5k/FN6e0DYxI1GrtS6Nzqilj/gt6hDKB7XdkJLT0VDQoYrRGJcyLnhkzqjRV5SdXVNPR6WpKPt0dfymAdZrr7Kwr8ZuGWhuDthTUH8f6E6Yw74k65fxbDBYTabmfNYX8Q7sUoWiV4Bmmjut3YDwHlQB+3BGCCoxGB8G/ss8714AB/JHm0U4DWlZS88QKjrjN75pcKNof9DeGuQfncHkhRySa/iiBybuySt9rqFhTzuWpdTxXBi9JredpGbIm3Y/scLvi/dHsltVQsZ8HsJTBvko4vIyYQdLNGPWDbQMjEJYoX87zb6jmRGKs5EqKKmEjB7enl4635eGZDbbEvTiEkej/n1TIOS6ij5QZoIuld8OoKcex5HW22z/xzWn280y46pxL4VzYS7LEWvduNoUNpB3HdZ0Zdaso/IWUYZKgNqvQ23fcJ3d+0gUkOzRADyAJEwXIn31I9aRYfk083ywPpWnspLhGkLWFm/F6N8sf81dScOqZhqpnrvcbhfwXIuLwc+gBexZ8LAFWY/jeolsQEHaXmP9vUvQONepL3IdihX/H/40boWyVY4MBkfBenxWnf04+wWmsMWKDr8+3r5aezi1bhKVsA7VyD4uBirQs4v5w9nsPM+OvSe66BiYNqRLVSz6wk6mycFp/tXBAVaEVCDjU2BBCR4ky5nXvhTFYS4bXr54O8EaL/ZR2tz/pxr0+ap31L0JilSN345EZnUE8RfeMEmbuPN0TW9iQpF+WL35+jlugCnNe6NzXBeW5W82STJ7odp7T2JxQ1DFvy+ejms7rXtxfNKrYd8I7ddcVtZLLtxPXD/jjPvILcljJzqvLISd5ma25eh5W8SKdSImlmaTqlE+dYkHhlG5oGtYpjYI3CQRhNP1FfAMddQho5dtL0qFnEpTAMRgqFgJWLVnulXIi37rtMR/wDKmaIeA4G0/iRDvvZ2HGQCrh8s16E75V1uKxSkYLe0C38J0nISf8C3594j8ws7C5qMOwsjIyVAX26badLVmxLxHkRndxg546aCtgaBG6l8f6dmkTaH9nRsfoNLQuhVelqN7LC4wUCQBz17PYz+guv9mzpCVtThdbT8TAKeAyerbkRFOBPK4US+1XWv9EFIfkjzDXi08tDHdmmmYsegrIq0v8ctm/IG8zxweWWUF59Cy0gedd8KPkqGewGDZ3l1Tji9R1D1uUPBC9IQFVECyuh8rz3parx4Le829W6sIsVPwWF9dafOuM3a2//YDQiOvQQeOtGpcsNrvUlmnfYy8H7YMVf96guyAbOcoueHV3zyaCfvdl7TN683dLlusp9jOAsWWqKDJt/3xxaxSqf/cP8W6ggQeKCBuAAho+BVc6pgIlEq6QNEjnaSdYlcdvXJaJTHp6Vy5pfj52hZixzjH/TJ1M0og4xqycZTwBbeyNfWaYlfwxLGUBABVBiOlXBRAqaDXW7e0HI3bt/Se9rt5vxMJwsmbS6QWXv1AzASo3eovXmTvGdH5e0hHRATPddYrTAw+3aHzC4LRghuh9OEeoYCUDP9TbZYtBUsX8DziEjhYAtePC6pmE3A/iakYfp+vhIJ0yrNmhQ3czxfepMjzD9OzFTrSQWvhJ/9aJIx5AeeQR7p8nDdHUPv0fY+Y9ON25jPLk3eOBBUHjE6WeIhXFcAEWijQYlOZKzCK8D7oxJjMY1hh9WkpKOZ9rNCVCUSnaj5xp4c72sHzTrDEnZJycCyBcjloCnJSxr3WRN/slO4Q/Mui4u8oQJWc7ZvLNaB3kMvkHZsFEULK4ao2XAUlAOard/sLj+4rxVQ9efnBWLrUu5wsZ/VcneDY+cggl4C3Bf9b4WOPhijv50HyID83KmbSZ/rN1dmlmXdgFgatsXu5kvpQTWmze3rU6ODUNqYDcqsvIE8gVYaaBzWSpv0SMqsw05wueSG8+BKIAtuE0so/PDFJYRr1470qts4/NNqJGRBXg8syhAIActxc+aoHt9TmC+Gwo4wwJ7NyC7p+P6eujMW/VeWZp33L9LldjfiADLB/BH2mIkXZvHu/4CfWEQ2UY6A9ksak3N3K9ni56Wito0ITrEsqWdijYSLVZX4eKTHHzwFL6E+aGluqLsHIbBwFRCDLPYniO9p1C1BmnyGODIIYDSUAVNdu7lcJo1kFdSJQp669JPfixB3nlaJSJgNju0gVzcTpJOJvlIQnHvHVAw/Kzyy9VllL0tBzS7pfc2uQdKWRIbZ0bkLFTLbdufriWOBNrI/5MkLy9gICIzq4oy4m70rE6Qvd3sHYora3UYQcYZZo245M+wHAeRZpMetLkuBHoU1kBSSrroUsXidxbJtIG1USFYrRL/LIYe4WXbY8QABcggAl9RYurhkX5vCGWDyDyQZp954iRSTuVPDkTnycB5T1oiu68RNZXxhJSBGSB2yF7ePWD0rlDY+k1l+zfVOAMIRCqVXZxmqKr/mqCI70L+iQoGxnxpXnaU8kKOyycy92Lx6OkEIoMLNLvQ2SzAv3PzptR8MiqTIpZI+zeGqDenebCElTpeetf4J/uPXudkAEBcfDRjiDy1eTj2OFj5GHCJGfdTiQeD7aNH9zcuNG6hqiVPYsf4ZMS9mV0rI2/pD5P1Sfh6jNN6YuPGIxshiC1xYXuEVRbXYWfV/iyqceBuL13ek0Xz4uOt2Q3oYlRYMs2sCQoip1a3qeBhlW+FW9DPSEb8PPFAKH2RcVTeR0TtIG7r6pqYkBf2m54sWaCjFEol9Gfth5PDtqHdVQ8Tv0Squ1VevRnoDy2FROH87RdOpos47dVOQzGIQP/U34PbxiAaGfBtLYxktivo7RlPBI0zEz7ywIrK+QVF8ibE/kbUCwKdrjKNR1DdxfUIobW/79SsZTiD7cGkYfPAn/8knNAnvx+YYEa1B/RiF06JB4t1mtIqFNY7ytSPeVNrS4Dcy4xRH0qb+madgSRANN3ljAIAF/frp9XZP5Iba5TT5SEPhn2MJhsDcpMhUCy4LidzIepYL8QAtv0g3sVkWyJoHLul4+KxHVJMt5U3vl9bSx9HssUX45qrYtZUtOBcEIZ9vWqmKLn+Bj9Vn9QilF32MdUbRX6H4DC1uROUre2+DYMotoxKqUVR8KD4CJQsBh27U26JLAdyG1qhzSw928z4nNMcDtgG237xjFP0Vk1aRQ4WW9ljMdgN/4R2kcDP9tkgyjZT4oxbZ/BvVgqiOM6dlF/10q6zTfuJV0vUqbNBJcnizYPnEjYZDyDiTnVEk5YSmCVaqKOq84Hnj0t4EppFKPhgQfTVSN+jehVNtFC0TvA1Gnb6ZMXurUNXCuckmw406lmBT9mTO63LPXv58JDulUuCBYbr4OZYjM5XVZzfLQ5OaTmBDxjcwaGW/9XEKjfI9mRyCPXRdr7LZ2Y3m138c+SW0mz22/3FFjazxlb79aIJ9AV++7kxjOrX8BLmUR2jCmYCYPmpmhqVqQIESXFJRN5B/IOyHTIBfAYicqnk++lKTfSK8YVWkwCON1TeGUHDxzpRsY30IzyU6kNF9U+LchI0qHFwd5Ecj2dh/nKE9ggI8wDISSisyuTE6aoTgZdQxahTwhXeDlkAu2q3DjhoMpzw5Mq62JcxP5WTMR09o+kUJ2MnHe+OklOsKRcasK+nSjnBBEVnt80mU1FKSMa7i8qfAkLkZ8R5SZ0RdTclo++TcQuUs22XV8Pq7pXh5R4Ghfl1opl++ERKIv05umZcpS4IqVLnrz9Ql1L0SJq8qQtmjkn+CaxbAtbr3cKrncxkOdgD9zr1l8IUBo4VTWfeaxIj6/2lPSImyyQ8RTImVnrF/lfd3+NE42QZBJo0POnAwLDXlZD3w3fDLTJ1fvSIbMlNPXIBT70+Kyua7xs0GVHFCULmpIaLhwBj5633RwItTpk4gs6/ChlNYfHOlH5prV/mp6gPLsOv66gMm+2aDwjqLahYLHvQ56+d8CSfGo+KU5gyspLHAFu1YxPRrvYYcF+834I56Od44efaw6hNL5WLXMw5mshrm/m5Ds1zQoe1IZSMw3ejoij8l0psVu55euOpJ6kMIV6EUmOgGqUJO8PeEBUMnUu7NJU8SffCDlagxWHG2vQCernB1W3Cbx25MSota8d1koESXiAsn0QwaGZ4cmf/NcM9FULbfWIzRPuttfqYLOpS8o2XVFu3mXQjVr+qOSgWV2zXVIw3ioGOgPpNaPEWXqkzQwgHmB0VoW6EbYUpZiwgIHJFM5BS0GeotmXynmM3vPlFhSTr/tE6yBeTXpLrZgaZgT8D0ydkyXtr1Pg0jhk5AYAYyrO7Q0Rv2nHC+H9ABY6adub1oGeYWxFnoBVDMLHkF5OnWwmS3idd4XuKMpgg0DLeowIRmswhazwnUh6BHig+Izlrz20GI2n+nUHDH1vVqK9pkv3zSmEUr0C7QDzb13cUiexT8/3PRrYGT4rpsgr8yNUYRyx+fS1TbLjUfqr+PtJg/kMnTFtf3PV5f98X6IVL4d3D2bY2S1cmkEpmSSp7sDttoeWSx5Lem0RyB0VHQJ/sQs2hjR5jvJZ8o40X/Qqa6cRU5bj15L+MJDU4qGMxulv4g3Kjxh6BwlnFO3QeJU02WkK6G95rPwjFaNJ4ZPbgjjT92DZy7etGLCx4xHJjvlT/tQBKdhsmO3c4k8Kx13jb7mEL1mDR9ixQBv2gNZc5V/1qzyjxIU64O0g+t9C3rRcyfNbWdT/9W1IWInsoksoavoZJo67256oY23s3GaXP1Tjc77VIHefqF+yw0crJEQUvX1vlUrnN/6pyvqVPxnpsDspHqRNciJPGYMSuvb/0GoDtgau+Vaw5Ay1csxPcEddeyCUvs+WjWghoJB2Hm00zMDLkOVTOGkr4mrmU60TvDw+TLf+o3s6t5cWae+G4oFei2lBgncdBvwiRtPy7gHII5ctaMX0gxOkR/5yl6/khLPNlObC1XoEFWqi+VFXD5ZcizEwMDYZNdVHgUjCGjARh19Zux36s6hWR9RP2X+/I/DlRBVb4kxw/CyhpjOIpcoewILiNnKbNbWYWUuQpV6j0SDaRPbcMySG/4v5q8bLaPB1PiGObuETkVqGdSZbcejVt5KnsEJENUa/XGy+oSl+W6RnTEKFJOO/sd9rmD7LTRD55UUJkGSbxiBXlMDBZoKw9XBn4RVCEtwMt9Lb94BjrT/ataWVH1zwPMUu2y6RQY2m1XbI9hA2Jyo7sa7eJNGbZuAmhn75pu4mmpGoWFIJobX2cSfbU8IknYJ23ej/h0RrfecmHsnL/t8rn+XdZmZSTwG0SII3hgONwk5L1WucSebR3B5f1Mxub46yC+fUR5zB/DSbRz/McSreKy7b2VnyW3azayLdQ0mbY/dTNsMRUX5l778YSy911TanGwgfRz8tIneGQU6jzusuclI5VFjbCGiiKYgVFImaAXBvioWAn7ZfJeSmwrhejLwdC+iZDEIhGnwn+W1TxPgfTdfJznAHGey8M9JkEWG7EQJsJcFof/4A9XKJNbE1UMd/s2Xy/OHZTArEEiLkhsXECnI2pOLyQq/YhJITuOOZwz3RwnkN9mca73TTGQk4nCVd2hyB2MTYQ1y1XQ8EHCEfJ4rnVzIbaVdHvZl7+IDgP+4gcqXJo81NFuJY5oQ5DDaW1Yr39HeBXiVbv/EuEcJmX6Wga4vzDGju340HYvyiV7L/yyd+6vxFLt7NmVRNy1Tbb7+8Fqllng7fdtdwXpdWO9Xl67/AL9GhIy3txr5Ff0cYXoZ33ub1Azmnh4fkD0+NodfD9/DoZBR+EBcr8+4Bwvjs+0FTP363nVy30OhkXUSbaks4gFzAMsRH8d/P+FK3ahjW0HSydoI8pmk+o/6v8r+7qwDXUh2CX8+VvLk9OkniPr0s8f8JJrPC36D/aFQJml956LtIJpqjD7fNcJSBllMcG6KR57haWSAldUTSE2OYAq6pkZSn4Cxg9WDccnLQpBrelH6puU0573hhy/VNUXPhYfJYLbCMKLbXwbmL8vpTH5S9GNs3O5fEZ1EgqAgdTDz1v/Z4YXs4AkTJHsVup9PLUrNGKLOQDFAtkXRo20SY8Pc6QCxNkOMGMEKhVRND05a6D+q7e1ltLG3UPXQXEf+2MhFzco2RiUBh5beW9BYgOZ1anNmEvHLbMFp2AFFHCMTlFUOr07/lg9crMn4G7FOMTErImeB0i+Oq0C14MQ0My3JylaxWoxpNL6lOLP6bzt1fde/Lyu9DyrLFTtVwDMdRuMXN/oPaeKkEJgLN6tXlwtXnRqi6mm2GkfLdqXrjF3MGj4KK95LIwhA5PqHqI1u+Ob2GxdMeR3ZstCjunEC1m+jSMNk0+P0plUSfshDwCKBRcYzZpqf3kOt05t3ddO493AgV+T2ux8OvzNzAoCWpIUr/xOchsdaFckWj2BG7PrU3k/GNnpXPlj/lYF1S1hamwkmd5+Hwk2Eec/uMDTQG/cRIDca7CfPlUOt29Y4JJNP6986pfRzLJqQG2uab1OyFGLcqul6OB890ecuYh9Mhj6TFwq7z1z1G6e3eD3YvgiSIbafQNgZtxWuZMcBbbIN6PPBFh54zmKJczTn4NiDN+0c9F/g3iQHLYCQBuxdjvhKUHCAxBnSSq14bprVVj71p6gEGXA0uegv9M8gVPI27aZMGRqxPwXOApZPqDOcLbKyrdyqPZvKSR45/P3MSSQspvHhgzoZ8UrMespawuA5mt0Kua+U7QHGrNrb8OnlwF3leZwJClw+n3pFXsSK5qcawsl+ZcchKMs4H4uNb9lTn/DDW3xh44f0uQoX/K+CZR5rMwGH4eFp4MllBnXmjS2cVTm2+btFi+wjX4FzfQYWPrcShR6oR5FIxgUsSX/7u97ck8/xyyv7w6OcjFi2Ie9NuVtf/mQCMQM0QNRrG41mp0jlfIhXq7UFh5eLZ2vUd3DjxK1c8R/jHEU5BmEfAZQ0VzkBtfngV85i4qUa2F6CCK4XgJ2Aa14UYgt2927I3Dr0RapEOrlMhPlxJOvnXS2Z2t99R7SKO2rcACkzkfawQvY/HqW8Vl/ap/CN/Af5xGSF12xKBAnZ1JA8CM4UvxS8qHg/rMvZkcfC5iWTohutus4LGCPbECYUtu9OZd4jj42ny0GU4RAeVfk9v/+SoUZ/huvFovezpF9YT+6sRTDqsC/RYsYsb0R9Sc1C3ziAP2KM+Pyo6NS9a49Bso5E8MZBJcRl7HQ3c7HoWyml35Dc/gLnXRaqGt/6PBu2WMCJeEgpVknhoNUgZd4CKHk6cQv/qnWrOL4Ibh7OVFFW9Nr22k+qYEbVMslslTnccb+onNGoOzcbI5nXhab4u8fEFKs/KE6yZKx7NAxo9qmnUkAIhwaHELKhTcSO0pcAg2MvboUZ/Gqxn6he/8uT+4eM2KcGCUFNBTzlhL59nxQLtQ1NOmZVwdsQM
Variant 5
DifficultyLevel
656
Question
Skippy uses the formula below to estimate the population of kangaroos in New South Wales over a three year period.
Year 1 = 11.8 million
Year 2 = Year 1 + 10Year 1
Year 3 = Year 2 + 10Year 2
Estimate the population of kangaroos in New South Wales in Year 3?
Worked Solution
Year 1 = 11 800 000
Year 2 = 11 800 000 + 1011800000 = 12980000
Year 3 = 12 980 000 + 1012980000 = 14278000
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | Skippy uses the formula below to estimate the population of kangaroos in New South Wales over a three year period.
>Year 1 = 11.8 million
>Year 2 = Year 1 + $\dfrac{ \text{Year 1}}{10}$
>Year 3 = Year 2 + $\dfrac{ \text{Year 2}}{10}$
Estimate the population of kangaroos in New South Wales in Year 3? |
| workedSolution | Year 1 = 11 800 000
Year 2 = 11 800 000 + $\dfrac{11 800 000}{10}$ = 12980000
Year 3 = 12 980 000 + $\dfrac{12 980 000}{10}$ = {{{correctAnswer0}}} |
| correctAnswer0 | |
| prefix0 | |
| suffix0 | |
Answers
Specify one or more 'ANSWER' block(s) as exampled below.
Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example:
correctAnswer: 123.40
And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present.
prefix: $
suffix: mm$^2$
width: 5
| correctAnswerN | correctAnswerValue | Answer |
| correctAnswer0 | 14278000 | |