Maths-
General
Easy
Question
Find the solution of the system of equations.
![y equals negative x squared minus 2 x plus 9](data:image/png;base64,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)
Y = 3x+20
Hint:
The quadratic formula corresponding to the equation ![a x squared plus b x plus c equals 0 text is end text fraction numerator negative b plus-or-minus square root of b squared minus 4 a c end root over denominator 2 a end fraction](data:image/png;base64,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)
We are asked to solve the given set of equation.
The correct answer is: We are asked to solve the given set of equation.
Step 1 of 2:
The LHS of the given set is equal. Hence, we can equate them. Thus, we get:
![table attributes columnalign right left right left right left right left right left right left columnspacing 0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em end attributes row cell 3 x plus 20 equals negative x squared minus 2 x plus 9 space space end cell row cell x squared plus 2 x plus 3 x plus 20 minus 9 equals 0 end cell row cell x squared plus 5 x plus 11 equals 0 space space space space space space space space space space space space space space end cell end table](data:image/png;base64,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)
Step 2 of
Solve the equation using the quadratic formula. Here, ![a equals 1 comma b equals 5 straight & c equals 11 text . That is, end text](data:image/png;base64,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)
![table attributes columnalign right left right left right left right left right left right left columnspacing 0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em end attributes row cell fraction numerator negative b plus-or-minus square root of b squared minus 4 a c end root over denominator 2 a end fraction equals fraction numerator negative 5 plus-or-minus square root of 5 squared minus 4 left parenthesis 1 right parenthesis left parenthesis 11 right parenthesis end root over denominator 2 left parenthesis 1 right parenthesis end fraction end cell row cell equals fraction numerator negative 5 plus-or-minus square root of 25 minus 44 end root over denominator 2 end fraction space space space space space space space space space space space space space space space space space space space space space space space space space space space end cell row cell equals fraction numerator negative 5 plus-or-minus square root of negative 19 end root over denominator 2 end fraction space space space space space space space space space space space space space space space space space space space space space space space space space space space space space space space space space end cell end 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Here, we get negative values in the root.
So, we can conclude that the set has no real solutions.
It is not necessary that every single quadratic equation would have two sets of real solution.
Related Questions to study
General
Solve the reading game.
Baby couldn't finish his HUMONGOUS sandwich
Solve the reading game.
Baby couldn't finish his HUMONGOUS sandwich
GeneralGeneral
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
Maths-
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
Maths-General
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
![](data:image/png;base64,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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
Maths-
Which number is next in the sequence? 35, 85, 135, 185, __
Which number is next in the sequence? 35, 85, 135, 185, __
Maths-General
Maths-
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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KnEH8UeXnxGMDfhvufjxEOiaFdvnDGPx/k5eResJ96k4VUf6Z+G/H0lyCeF7HS1+XPiJcxLcQd+Xm1tw+DXCpqpdYaoXYi/qTfxitevqvyjBcpIawNrqds/ozrjrz0yW6CrN3O6LvBiXkJYa7vu5AmngGHP9dM9TJEgq3fxnVGmoWKkW9dReuWBeUu2z4M11uSUm1ghZOOlElI9Av7bUM6FiQbOvsA1zqteEufsiD6pn3Y2axr8qSmVRjRPiz+jJOcxSMOsORnVH+5Jc8q/vG65HXCwjpjLPuws3mPP9f5vCy7BfwAJZtlWSh3EOz+54RX5XLTG8P9ulRWE55o30z6tJpnGbuOliKO/BxjkEEP9vwkNWflS0ZV/Kyyeca6mxD+BuXZ4M81ZZDEVPop8m6xzG6C0tjSdonwA31BkpZpU93pT/GFKT/D/WbZZSyPV+LM/ueErlXgo8Eqz3jRVeUvPaPBj4xB+gYVZ9ueZPT5w5z+57hw5g/DN5xGrF9d/tzGrL0H9Nt9fCQ8CSnNQP/Ftg+LDNs+7AgoHDQw9O74KjmlSswCZ/Dnmr7Gji3HPqwHdJbQ0ClDOps/B3SGfAKu/BwXVv9zdAzZb0fEgH47LobmD4sKxz4sLpzxz7ExoN+OCmv8c3RY83sO2W/HhKvfjgtLfo6OIfvtmHD123Hh2m9HRjxN8yAc/hwbQ/3PMfHfz++pHePAHf8cF+1baIfLn3GzV0aOBPT8p/Z2OOz5SaJj5Pk98fjrY4zLnwfm94yKTA263APkZyx7gkVnsLkB4BIE0dsJ5VnfwT34BdvBR+FniB+aPwuamhRsZx+9+8D9bAHV9wdsvUDvrzFwhtnjD+GP2FTkwAfIy3EPAS6aWjsVjsSPHqo3J0FGh/ir0G/j3iZJS+pyC4H4v+DPwnEgLw+EPuC19s7/IggL/iwyzAfcAlF4vt+gnsXiVcjpQ+jDgNjA3vNKeO63naG1JT+ztGLzisE2n1fCcTzUfcAmCKSXvQdy2xMX3kr3/Jd6fupF/LskqXxyODRleYlwrsjF3qk3iCblUj8KPRpyDK64F9svcbff5QtxUg9Ou1Qsfa/mTG3idi4gLsefyJ95bYJKCvmn/0yQ3XshL71Xp23y0+dpA26d3rDBI0n2EOr91eNORDQrSPML7uRL8FE61Sa/RF29TxVryIvyDp6os3ol4kVc9BO/Df7YvBjlGTMiplSVeNTXqCDkMk1hN/F4GcuzY/BNPEo/A846iOR3HgRDkH98dD5AzAY8CB1jJ17GC7/CIH0dgFAIMiMHf9CDRznNcCQo+ipjjQA96PIAViYH1IeTvu7d3ljRptLOPoBuj/TK8yLA0wN98RSOWr1V9EPO8sJJtncesH8NHgm/PK9ARRBiaQtn+VBc5K7cGso39YdTL3Aqm3u460E+3UP8MgD1atVUMvw2VBCCyMs/g7wmbyTEk/4hcXBIfPpO3kBMdCqBe3Gif6d/LS4qyjxcq2TVpRxc+sE+mdWPJA4OT3w1x1eN3f9cF6ETSP4ZY68X+/M8pnXnALpL7RgJL43UhIyG3/c/x0EZMvnlJzD2erHf3yMajw7AnZ9EO8ZBMvb6zyOvFzs0P0lM4JHXl4TybNlvR8ZFFWVc7e+A3fUx4mJs/bYzXjIyrPHPwJ+jLe01hLH7n//19SXt9TFiY/z1JU377dgYfX3JsfufRy/PTv/zqO2xf94+LB23+rbtt2PjP+h//rfL89j8+Xp0/myUZ8M+DFMulk+UoyXA/YV/CW77D/HnOo82m5u9ftVZfdWx3I7BWnwK/+lTcbVW9V0/sS63YuUjEbHmF1fu/GEQ8XbsSPq89mlIuetj4EX+TTv3qOWqmX75zrYPq/Musy0cE7km5099dxJ+NBvtUsC8Y1lMiXRjGgwB/W5tLIAaCHs8BhX0o2V/oG/pR/r8GVN2m6ZqUBXmy/fyKTjm6oHxGFdiAY5IWJjzeyaMAEqzRMy6HdmRw6p+J+HGLM/3laC/NHVkSSXpe+UCe/wzXnS3tsVVzST9V5/6yB7/jNusubVjv0uB/m7rlcus+Unajm26XyYpDOEnu9RrUvRZadTX9WbZEHJBfUgN40kvv6hQZymkbxNvfJ41PwneQPBJGnFEpmsfpl0SNyUhOrNidhFhWvoB/tyWYUOeDbwaM5HUXZnlWWPNtkqX7CvzHNW6eO+X54QtN1ddY03d8qUC+t21V3Gw+XPNj+tL7vFFhL/zC789vkrMiG3OHwIJAvTvvq790sTkz0klqurrC6MSpBXr2FfP8BvtbZx3NOFV0IISFsz1JbOy22YliShkmfw5L++2OfCEeA1U2z7Mkp8XzX46oDgDfRPHfhtfFxHTwxz/TMVgUtQ2Rif7t26DEfKMQHP8s1xzE9HUmM41yaA5gD09cOVnbtd2dcaRd/jt+bcRxI41/S9eZz+Avmfdbdhv4+w9g1ZKUha9xjXuOIbo8aM/M+y3a9nwok1EHZYhP/+UK6skVcT5AJ/65bmGqIAzizV7LsCSn+3+Z/RM9HTf284Ws3yQNJY+DG277j0ef14Y46u4bFugnPSZ0tXcS3JTMORnTGUy4+64xDGAh0yA9vv5PQ+gISvGDMwfZo+4okETZBjrS65KmXvx/Hx7LL40ZIIVo7/qYyapJmW02XqhPPQTmKqGPN/FK2/G/NuJkpzbxzTafEl/029D5STjv51HEVKc/ufFHeW7KlqfqMmfZ+rb2sdeJp6xYus/BYc5/hlLOoif96aMr6sLnnjTd8c/H9aX1Jh1Zd6bz+VEuPOHGfN7AnDW5AEToBvrS7ap9A1lvUWMatbk/vE/pN9Olr+sOioABn+uVThXZbT1nszxzzp/JlW8CUSd+cPs/uerd5Kjs9V+XsBA2PJz3eUocIlYA4P9z+1jr5KC1tmuWftOkTnU/4y278f2NrraEdJ4q1yH1pc0e3ShdU/8ww/tbaus9uf3FGgLct4w72ky+vIzzokaHZD1JKqw8D8MjJekLOIUAUP9z8kynsJ2qP+5XgasYGTBmT/M7n+G1mSzQFeR5ji0+5/zdQ0SYkT5eaj/mTa96u+VVcU5aZxOoM/BnX8bYujp8kgf8WpZEFIuvArEwPwk+/Ux9mirZQnh9+zjcNevAv5scOwbtixTkvppt035GXX7JZneDg3WDwr0z0nhqVvFhT35+MdKrnsWC0P9z21pdcIFwJCfNaBQRGNof5GfATcvhPEuUoPD4s9tB1UrtLejfY65/rPCQ2dWRvgmL6DA6bvTMMSfV3NzDfMfbWarvD8N9PWv8vPZ7Oa6hALtVSBc+zCbP0MYbrbe9A35+YHpuZjzXb+H4Ucrwu8X/057u/5S7V4iduAO8edNxCmZh/gzL9QM3DHwCfsw3kADMlKMmfN7YvYd6EJ5HpU/L5ZX9jfdVIYK6/O42bnVNxUriBhA0Gj1q6NwZuu3D+tj9NG+ED+dw+D8207so2ROeqtanYKiOtQX6BuUZ5lvtudm8UWt1sqcDLu9jdqsfPO0JRjEAH/+WUWb7hnqhnenPNd3QVPamrDk56HxVTWLszaGgDG/J9rIZeJj8mfbPgyw6gZaS4vGT8WxcPlzcpe7rIynfqtYuPbbh/UxDLR6pZdT4c7v2V//+YikJH48oz++anbgz856q4vGTyft6sPQ7PqWfI2WgVz+jNcB66k56C7tfIHyiOsZD8wf5mbOLJ4BlyE/t8tu0S7aDKQpf42tCWf9Z2FzMMDJcPb+pJ0nwbXfrjdD/UeYPfpIiIPy89D6WOj51osnufLzEH8WmWzn1yTrz+95kJ+vSWnlYng1UAv+Hagx598WQH11Wyhc/syFTBgNzvoYZ7SL17oQsoFR+w+Nr8JZvP50Q37OHxsBMWVDrBY3tRdIRHw9SHqbeuUn2377bJYPdgejrPHjP+76VengCAd+4Uf/j+tX9UCbjZfVcn/9Z5QT1fqGcm3XqdepVxfN4Pye0MSIVp4d/tyuYxZnV35uY6mmFD7Bn6H+ixZf/fUlUfI9yzbZhpGmi2Uh68jPdD3cmPniV97ac7P6Rq+/sVvc+pkguOtX3b8Nrl/Zll7hH1r/2X4i0RauouAzMOy3te0ZZmRtM/tt6cWVBsdXPUir0jiw+XPSRbBy7sFeX7K+9uxp+Q3+NL5KA61H4s8II4yRqMWD103Yw+p/xjST0YdvLB6HM78uCEu/jXkmjc2wbUFSDwntn8BA/7Oj3xZA135WYrj8W/+zAtreedE37bfrSi2JWTnCMur8rOgGy/Nq6RfZQ7D4c7uWIcdJrAJgzb+dZKq6CFw17Ah3fhInaqC9PY78rPF6Hm8FZYs/06qjC0p5t95zPUxl54ZvK8eUnzGvMqB/z9mhu7bmsqOHzv2WmXLlZ0u/PVPLu7TMjz3/1T5Mx0/SefZXmV2pXC6GuWiOhXem4//Ojz4amp8k92urDMLkzwnrePtK6VoY6keBKT8njF21tOVZ13pJNy4+od9eVaSJ1eiw7cMErkjPXDIQ5vrPoqetSS+bVAhrOK+gaXNTNuxmxX11EIZ+G2/fyW2TAnnRW1tnFZzvi6ZLktxXh+LYb+McKlOZ1hD+LwiasGnXrjh7NX/2WSC7/xnT9FG1jmbXot9ttUzZYkXvfO1JDPvts1lXLFCtlkxcdaIO+lnK8PsKjUZ/Faa/GK3rfBmxSWzw5/uSpJdidk9bK+MPQ35OKvIGGQjoM6sW98bf5eeE31XVdaRl11YD45/bKhvS+HjB0G/X2bJallVZvYgeB9SlwCxm66ap1rkn9zHtw+puWQnqy0rwn3qeZggY26OgbwpJn4fNn/Eiq+ZXsjWPO6FyrkX4n3PPhT4d/vzQ5vNK2lOjb0zWepsmrbrc20LDsN+GSNl0OTAf4UyqS4i7BxX/vguV4qZvH0bL2+quy3wTcwh9/gw1KGQgSOGyiqYTM8ozl9Qh/1Se7MWFq9/Wrj3QQ72qk5VeIjgUQ/wZr2aRGhuQwv3xVXgF4RabLA8ooSIrP7Sc+ldOhvw8qxPYgHwt4hC194Js3VLqv062u/4zfEIiIx/dLESjrwb5QXrkBXv9KlSvDvRV+DGE35++Mz8JkNOxjVu5jrUIv3/8m+MlgXhIYg6hz5/RCiBTWA3kioF+ef4Qibuq60QlQBTY/HlAfo6J0ecPs9Z/jo0h+7CYcOXnuHD7nyNj7PWrHPvtyBiwD4sKW7+tEY2h/d1+OyqG+HNMjD2/54B9WFT8ef3ncLj9z5Fhys/RMTS+Kipc+7C4GHt9Sdd+O1pVMYSh+cNiYuz5PUdeX/LfX//Zkp9jY1C/HRNj82fXPiwuPqHfjonR+fPI8+n/B/NvRxOlhuCOf46MkdfHwIU5v2d0PI3Mn7P+/CQjwJ7fs0qzrOttes/WcusCzxl7e/wO1LJnua+fxTPY5cvQA6hljDSCPEBQFYc8C//FJvbjs73/nz53G0aW4u+HeOntygdwwg/FIe+fTzuy54IABf1PRXNgF5Au9YvPn7N1es70n9V36X2/iV1COdXXfP6cZW+pdCkPwQm7fGEdcv9dKH93Fn8iF9ov9UgAzsqj8D0TI2mfJFW4k+TF08P74D0vyRwIq9ykd+lUHxR2iN2yF0J5WRhbo85wutDOoHO5LAu4ArFCErwQDwV1+Yvwo3ypBD04BFVxkmfY9r+QT/a7DITcPuEuyvKiLA8RYWzyBB9zoC1/f/IBXrwIYurv6gou+UZTha0XIvHspHMFHwAuIHakIl6qH0hvROrIF+JHnz+LPxXlUocfHmjS8Fi8EPvxKi76J58+w7WA6BFu9VBQkUEV74+/CzhD/C9fdMToD4JNnn7/p1POzQsUgB5ptcmMo34VeBRlZvJnjGdy15eZ3sQuH4ZvGD9IWgB1A2d4ovw4uL3OevuB4KwfKG/UJrx6QPK3AHXev/2Me9Z7BBf9UG5y/7F/Lq/Ct9M2ETZFR1I5XOVTSV79Tr05bn2f/uTWD9RJQr2TDr3LG0VeBAf+84nzTES4ovAD/inDrf0SsSwfiQv8Wnoh36iXJ501GXCpW/lE3MfaRBKDV+AfEp5IP4RDXvYRGnIWpGE7klb70RWwK/rjilP/PxhVBJ0wYcKECRMmTJgwYcKECRMmTJjwz+Ps7P8Ax/ySWnVMf3wAAAAASUVORK5CYII=)
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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)
Maths-General
Maths-
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Maths-General
General
Complete the sentences with the plural form of the word in brackets.
Complete the sentences with the plural form of the word in brackets.
GeneralGeneral
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
Maths-
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Maths-General
General
Identify Text Structure.
Sharks and orcas hare a lot in common. Both of these sea animals are carnivores (meat-eaters) that hurt for their food. Like sharks, orcas have smooth bodies that can speed through the water, and lots of sharp teeth. But these is are major difference sharks are wish, while orcas are mammals! Like most fish, sharks by lay eggs: But orca babies are born live and drink milk from their mothers. Another difference is that orcas have Sony skeletons, but sharks have no bones at all-only casttly.
Identify Text Structure.
Sharks and orcas hare a lot in common. Both of these sea animals are carnivores (meat-eaters) that hurt for their food. Like sharks, orcas have smooth bodies that can speed through the water, and lots of sharp teeth. But these is are major difference sharks are wish, while orcas are mammals! Like most fish, sharks by lay eggs: But orca babies are born live and drink milk from their mothers. Another difference is that orcas have Sony skeletons, but sharks have no bones at all-only casttly.
GeneralGeneral
Maths-
Consider this simple bivariate data set. Draw a scatter plot for the data.
a)Describe the correlation between x and y as positive or negative .
b)Describe the correlation between x and y as strong or weak.
c)Identify any outliers.
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)
Consider this simple bivariate data set. Draw a scatter plot for the data.
a)Describe the correlation between x and y as positive or negative .
b)Describe the correlation between x and y as strong or weak.
c)Identify any outliers.
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)
Maths-General
Maths-
Consider this simple bivariate data set
a) Draw a scatter plot for the data
b) Describe the correlation between x and y as positive or negative.
c) Describe the correlation between x and y as strong or weak.
d) Identify any outliers.
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)
Consider this simple bivariate data set
a) Draw a scatter plot for the data
b) Describe the correlation between x and y as positive or negative.
c) Describe the correlation between x and y as strong or weak.
d) Identify any outliers.
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)
Maths-General
Maths-
At what percent of simple interest will the sum of money amount to 5/3 of itself in 6 years 8 months?
At what percent of simple interest will the sum of money amount to 5/3 of itself in 6 years 8 months?
Maths-General
Maths-
Show the conjecture is false by finding a counterexample. Two adjacent angles always form a linear pair.
Show the conjecture is false by finding a counterexample. Two adjacent angles always form a linear pair.
Maths-General