Question
![fraction numerator x squared minus 2 over denominator x minus square root of 2 end fraction](data:image/png;base64,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)
Which of the following is equivalent to the expression above for ![x not equal to square root of 2 ?](data:image/png;base64,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)
- x - 1
- x + 1
![x minus square root of 2](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADYAAAATCAYAAADbJP5YAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAQ3ZOC+gAAAXZJREFUeNpjYBi8gAeI/1OABy2IAOL9DMMQbAfilOHmKREgfg+lhxXIAOL1WMStgXgNEH8C4l9AfAGIo4eSx0B5KwSL+EEgjoQWLCCgBcRHoWKDHigA8Wsg5iBSvTwQX8KnIBmIO7CIN0Pl6AUqgHg2iXp+EFJwDojFkfiJQDyFzjF2Hog9SFBvCU2OeAHIwD4o2wWI99K4AkYHOkD8HIhZiDQDlFxPQgsVgmA3ENtDSxxhAmrJaQGoAPF8qJwNmlw7EPcT6SlBIN4AxG7EhmQBtCjVo1FM1UA9BqqnTqHJ3QdiEyLMUIJ6SoVYS2H1RB8ditAsIP6HlKctgPg2EclQA1q4cBFrESgUNkE1gNL/GSKSIqXgGxAvg7InA3EDAfWgQFhFQh5kEAXibWge8QHixTT22Bwg/g516GtobOADW4hQAwdsQLwOiKWxyC0nseglFQgA8V8gXgvEx4lQP6S6KYehDisYbg1eU6jHZIZj3yuE2gYCAPyIXOWXH/hAAAAAc3RFWHRNYXRoTUwAPG1hdGggeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzE5OTgvTWF0aC9NYXRoTUwiPjxtaT54PC9taT48bW8+JiN4MjIxMjs8L21vPjxtc3FydD48bW4+MjwvbW4+PC9tc3FydD48L21hdGg+JNJP2wAAAABJRU5ErkJggg==)
![x plus square root of 2](data:image/png;base64,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)
The correct answer is: ![x plus square root of 2](data:image/png;base64,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)
Given, ![fraction numerator x squared minus 2 over denominator x minus square root of 2 end fraction equals fraction numerator x squared minus left parenthesis square root of 2 right parenthesis squared over denominator x minus square root of 2 end fraction not stretchy rightwards double arrow fraction numerator left parenthesis x minus square root of 2 right parenthesis left parenthesis x plus square root of 2 right parenthesis over denominator x minus square root of 2 end fraction equals x plus square root of 2](data:image/png;base64,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)
Where ![x not equal to square root of 2 text if end text x equals square root of 2 text then it will be end text left parenthesis 0 divided by 0 right parenthesis text not defined end text](data:image/png;base64,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)
Related Questions to study
The graph of y =r(x) is shown in the xy-plane
![](data:image/png;base64,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)
If a,b, and c are positive constants, which of the following could define the function r ?
The graph of y =r(x) is shown in the xy-plane
![](data:image/png;base64,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)
If a,b, and c are positive constants, which of the following could define the function r ?
![2 x minus y equals 3](data:image/png;base64,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)
![4 x minus y equals 3](data:image/png;base64,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)
How many solutions does the system of equations have?
![2 x minus y equals 3](data:image/png;base64,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)
![4 x minus y equals 3](data:image/png;base64,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)
How many solutions does the system of equations have?
A company found that the average customer rating of a certain product can be used to estimate the total income from that product, according to the equation y=44x + 500, where is the income, in dollars, and x is the average customer rating. Which of the following best describes the slope of the graph of the equation in the xy-plane?
A company found that the average customer rating of a certain product can be used to estimate the total income from that product, according to the equation y=44x + 500, where is the income, in dollars, and x is the average customer rating. Which of the following best describes the slope of the graph of the equation in the xy-plane?
![S left parenthesis t right parenthesis equals 158 t squared minus 771 t plus 10 comma 268](data:image/png;base64,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)
The number of students enrolled in a certain university years after 1969 can be modeled by the function above, for
. The constant term 10,268 in the function is an estimate for which of the following?
![S left parenthesis t right parenthesis equals 158 t squared minus 771 t plus 10 comma 268](data:image/png;base64,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)
The number of students enrolled in a certain university years after 1969 can be modeled by the function above, for
. The constant term 10,268 in the function is an estimate for which of the following?
The speed of a lightning bolt is approximately 320 million feet per second. What is the speed, in yards per minute? yard feet
The speed of a lightning bolt is approximately 320 million feet per second. What is the speed, in yards per minute? yard feet
![y equals left parenthesis x plus 3 right parenthesis left parenthesis x minus 7 right parenthesis](data:image/png;base64,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)
![y equals x minus 7](data:image/png;base64,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)
If (x, y) is a solution to the given system of equations, which of the following could be the value of x ?
![y equals left parenthesis x plus 3 right parenthesis left parenthesis x minus 7 right parenthesis](data:image/png;base64,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)
![y equals x minus 7](data:image/png;base64,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)
If (x, y) is a solution to the given system of equations, which of the following could be the value of x ?
At the beginning of a study, the number of bacteria in a population is 150,000 . The number of bacteria doubles every hour for a limited period of time. For this period of time, which equation models the number of bacteria in this population after hours?
At the beginning of a study, the number of bacteria in a population is 150,000 . The number of bacteria doubles every hour for a limited period of time. For this period of time, which equation models the number of bacteria in this population after hours?
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Knp4f/+q//Iisri2984xtUV1cD16Qg/H4/mZmZN8wsdTgcuFwuTCbTrAdOhKuLzy5cuMDBgwd55JFHWLdu3az9mUwmbDYbLS0tVFVVkZuby8WLF/n44495+umnU0SzCOF2uzly5Ag7duygrKws4XYOh4PXX38dpVJJVVUVfr9fCpPFawwDs/K1BKHMJzomNGHmqiYKcS2dTkd1dbXMt4onJREdLWRHRcJnTk4O27ZtuytlR30+3y2RqFpotAioVCpWr16NUqmkpaUFj8fD+fPnOXv2LM3Nzeh0Or7//e+jVqvp7OxkdHSUiYkJSkpK6Ovr4+LFiwwODhKNRnn++ecpLCyc1eGlS5f46KOPpBbs7t27sVgsNDU1cenSJUZGRrj33nvZuHEjn3zyCZ9++ikAZrNZZoaL4ywoKACuPVQmk4mCggLGxsZumLiZwlcLp9NJc3MzGzduTKpdLBbD6/Wyfv16nnnmGZRKJX6/f5ZEAzCv/MJckhH7i1eV9Pv9uN1umY8lVB03bdpENBqViYuisoOQgwgGg1J0y+FwUF9fT0lJyV1HNJFIhIaGBpYsWUJeXt6C9qH2+XyzpCSVSiVpaWmUl5cTiUQYGRnh/fffZ9euXRQWFvL666/T29vL+vXrWb16NWlpaSxZsgS73c57771HdXU15eXlvP7669TW1mKz2WZlmB44cACPx8MTTzzB6OiotG5OnjxJSUkJHR0d/PM//zM/+MEPWLJkCbm5uVRWVl6X2Q2/Lc1x/vx5Wltb6e7u5qmnnrqu8kIKiwOx2LVig/NNm24mZ6HRaMjNzSUvL09Ob4Q0yBeNcDgsNa/r6uoSbjc6Osqrr756x0TqJoPJyUl+/vOfs2vXLh5++OEF7UOp0+lmCfMoFAp8Ph+jo6NkZ2dTXFzMH/7hH7Jp0ybKysrIzMwkEAig1WqxWq3k5eVhsVgoLi7m0UcfZePGjaxYsQKtVjtvNQKz2cz4+Dg6nY4tW7ZQVFTE0aNH6evrw2q1UlhYiNfrZWpqipqaGlk1s6io6Lp9ifl5NBqVUgKXLl1iaGhoQRcjhdsLkakt9KfjcTOH7lzR99uJcDjMzMwMExMTSbWLn7LdbYhEIjidzlvKFFdrNBo8Hg+A1AC5ePEiw8PD7Ny5k0AgwPHjx2UpWb1eLwnE6/ViMpmk7sjQ0BCnTp2SuqlCvT8ejz76KMPDw/z4xz+mtraWP/mTP2FoaAiz2czSpUuprKxk165dFBcX09fXJ+fj80GskC1btozKykoqKir4l3/5F44ePco3v/nNu3J0udPhdrtpb2/H7/dLP4dwssaLsItpj1qtZnJyUpZrvt0QZXnEO5EoxDRKvJB3E+FotVry8/NvaaagttvtDAwMMD4+jkaj4cKFCxw4cICamhq2bNlCd3c3hw4d4umnn6agoIC0tDT6+/txOBzyhigUCvr7+3nppZf4nd/5HbZu3cpnn30mqw3GT828Xi9//ud/zuHDhzl06BB1dXVotVquXr1KNBqloKBAVlZwuVzSSTcfwuEwCoWCjIwMLBYL99xzDzqdDo/Hk4qvWYSIRqNMT0/T3NxMe3s709PTs74XqzZpaWkEAgHpgPR4PHR1dbFr167bfoxiBSnZQUoQ4+XLlwGkEFj89+L3fIL18X/Hr2YJCMezIOF4iIFefC/OI37pf25bcZ7x1UVF3/Hkr1QqcTqd0oe1UKizs7MZHR3l448/lg/Cjh072LFjBwUFBUQiEfR6PZcuXQKuyWVOT08zOTmJ2Wymt7eXkydPkpubi06no7Ozk5ycHGZmZujp6WF8fJycnBwpaPTOO++wZcsWcnJyMJvNGAwG1q1bx49+9CNefvllKisricViPPLII9LD39jYSFVVlVxJisViOJ1Orl69itvtZnBwEI1Gw7lz59DpdFRVVcm2d9PIcjcgOzub7du3s2HDhlkDkFhBil8+Fto1g4OD/OhHP2JmZua2H594AReqgTQ2NkZzczM+n08uwc+tljGXaOJ/i3Ofu5I218EdrycsJHGFKqJYFYsv5zNXy1hca51OJ0lNaAgJX63BYECn08kSRslaefFQ/9M//ZOMGTAYDJjN5llLw8XFxfzd3/0dXV1dlJeXs2nTJnw+H2azmccff5z+/n7C4TBms5nvfve7tLa2YjQaefTRR8nOzparA4I9V6xYQVdXF4WFhbzwwgusXLkStVqNy+Xi4sWLtLS0sGPHDkwmExUVFaxbt46Ojg6Gh4epqqqSN8ThcKDRaFi+fDn9/f2Mj48zNjbGvn37qKurS4llLUIIAav09PSEwg8yMjKAazKl8YL5txORSASPx5N0kTu4ZrGtXbuWJ598Ur7wAvP5N27k8wgGg7OW75VK5awVrvi2gkjmCqALi1BsFwgEpHyqwNw2oVBIlvCJRCKyXpYoUncrNaTU99xzz+dutH79etavX3/d51arddaSc2FhIevWrbvhfpRKJb/3e78nZQjjsX//fvbt2ydjFeCa+fniiy/KkS1+P0VFRTz77LPS4hJVI1MEszgRi8Xw+/2EQqGkww9isWsVPQXx3E6o1WriiyomCuGszs/Pn1UzSiAZy1qv1y+qwL+JiQnpj10ovnSFPaEvOx/mu7k3EmBWKpWz1P5TWNzw+Xx4PB5pricDhUIhfTXd3d3SiSymCvHF1+J9DDB72jK3flI8hPXg8/lklLDL5ZpXmH+ukLuYehiNxjtG8S4ZCOvsVhZXUlKeKXwp0Gg02Gw2tm/fnvTIqFarMRqNXLp0iQsXLsgpgbCQxPdGo1GSjigUN7eAnHBwxv+IRQohij40NERmZiZTU1PS/xG/EiamgMLdIEoxKxSKO6bOUjIIh8PzhqokgxTRpPClQKPRkJOTw549e5J20BsMBvbv38/o6CiAjMwV1R5CoZCsmiDE0EXkrt/vl4mY8Y5UYfXEx/aIqpMlJSXEYjF0Op30TcTvIxQK4XK55GfBYJD09HTKysruSis7GAxiMpluKeI+JeWZwh2DxbqKKFZpFuOxfRHw+/2MjIyQm5u7YLJJEU0KKaRw25EKnU0hhRRuO1JEk0IKKdx2pIgmhRRSuO1IEU0KKaRw25EimhRSSOG242tHNAtZZJubFJdCCikkh68N0YTDYfr6+pIWxQqFQly+fDlpISS/38/w8HDSiWgOhyPpvgBmZmYWFL3p9/sX1C6+GkEKKXwevjZE43K5+OSTT2hubk5oe5GmPzExweHDh+nv70+qv6GhId55552kpQ0uX77Mhx9+mHRK/okTJ2hqakqa2FpaWrhy5UpSbQCuXr26ICGqsbGxFEF9DfG1IRqR7h4MBhPaXiSQaTQaqf6WDJRKJT6fb96E0JvB7XbjdDqTagPXNGs7OzsJhUIJt4nFYvT39zM5OZlUG7vdzsGDB5NqB9dK5HzyySdJCyiNjo5y9OjR64SyPg89PT2cO3cu4XsO186vr6+P9vb2pPoKh8N0d3cnfe+EdGiyA4TIP0qWtEX6xpeNrw3RqNVq9Hq9VM2P194IBAJ4vV75v/hbCAGlp6fLnJhEoVKpsFqtN8xUvxE0Gg3p6elJE5SoFJDMgxeLxXC5XEm38fl89Pf3MzU1ldQxzszMcPr06aQtob6+Pg4fPozD4UjqOM+dO8fx48eTIppQKMS5c+c4f/58UsfocDj47LPPGBkZSardwMAAL7/8sszjShQtLS0cO3ZsXv3lm6G5uZnu7u6k2gQCARoaGpIm+nh8bZIqQ6EQAwMDOJ1OtFot09PTTE9PSxkAoUYmZAd0Oh0Wi4Xh4WHOnDmDy+Wit7dXqpfFZ/SKNpFIRGYPj46O0t3dzblz5ygrK8Nut+P3+9HpdHIbQCqamUwmTCYTdrudrq4uLl68iNVqxe/3YzQaJUkKiYJQKIRKpUKv1xOJRLDb7eTm5krNWiGQJGQe58oj+Hw+3G43MzMzmM1mSaqfp+kj1NqE1nQoFEqYTAWJu1yupLRlNBoNWVlZSWm0iOsrdIoSRfz1SgaxWIzR0dGkp8pKpZL+/v6kCWNsbIy2tja2b9+ecJtwOMw777yDqEybCISF98Ybb/D000+zadOmpI5T4GtDNEJBTEgcxiuQaTQaWURMiFNPTU3hdDoZGxvD4XDQ1dXF4OAgPp+PYDAoqyIC8uUUL6BWq8XhcNDe3o5SqaS4uJi2tjY8Hg86nU5aVIDMOM7Pz8dms9Hc3Izdbsftdkv5ASFtEG9ROZ1Oqcljs9k4deoUFosFl8uFSqWStYnipRTS0tKIRqMyKzkUCvHJJ5+QlZXF2NgYLpdL6jALU15IawpC1el0TE9Pc/nyZUwmE2NjY2g0mlmi4uJljUajUr0xGo3S19fHxMQEx44do7y8XH4fn1WtVqvRaDTyZQ+Hw7S2tuJ2u+no6GB8fFy2E9Na+G2tJiE/KZTyYrEYk5OTcuorZB/iq0/GS2L6/X5JoGLgSATiGRAEnyg0Gg0ZGRlJJ2QKIkxmSq9SqeS5JYpoNPqF6Ox8bYhGVB7MzMzkoYceSridqGu1adMmli1bBiBJCX77gIsHRXze3t7O4cOHZZ2p6elpqSzo9/vx+/2yyqHf7yc9PR2NRoPZbObq1avs37+fnJwcAoGArATh9Xpl3y6Xi2g0Snp6OpmZmdjtdrKysti4caOUfhSVF8ULp1QqCQQCUg3O5/NRXFyM1WqloKBAWhti6hgMBiUxRyIRMjMz5TQyEokwPT2N3W6XL6oosCaug7CQzGazLG88PDzM6dOnGR4elhIOgUCAQCAgzy1epFypVNLc3ExTUxMOh4Ps7GxJ1IJwBBkolUrMZrMUyTp9+rQcXISwldClif87EokQDAZJS0sjGAxy9uxZSdYGg0HeA0HCQp9XXFOho93Y2IjD4aCtrU1uJ/oSxC0I0mg0kp6eTkNDA11dXRw9epSKigqAWdUz44k03jLt7OyU8rfCSo7fLl57R7gLhE9nfHyciYkJtFqtnG7HC5zPFbpyu904HI5bk/JccMs7EDdSV7sZxOgYX5s5EWRmZmIymcjKykKr1WKz2RJqZ7PZUKlU1NbWJnWcy5cvJzs7m23btiV8joFAgPHxcZYtW8aOHTuu+148WOJFFRIBAwMDBINBHnvsMVasWCF9POFwmFAoJKd3QgnPYDDgdrtpbm5menqaZ599lpUrV84SxBaWQLy1J6Y9Z86cwWKx8MQTT1BaWgowS0M3/oUSUzu32y3Jq66uThJNMBic5UQV2/v9flkBc3x8HIVCgcVikVacsMqE6H0wGCQYDMqpo8vlYmRkBKPRSH5+PqFQiJmZmVnXIn7qK4S6RkZGcLlcstZZvH/Q5/Ph8/nk9YhXpxwYGJDWq0ajwe12S7kKYBYJx9+L9vZ2uru75cAm6pnH71+QrLA0w+EwAwMDtyR+9bUhGvGQJGsChsPhWTc7UYgHNhAIJOVbEKNmsohEIszMzBAKhRI+R4VCgcfjuaGzVIySc6cPGo0Gp9M5q1ys+PxG52o2myktLUWv17Ny5UrMZnNCxwiQn59PaWkpq1evxmq1Jtxuenoar9dLXV3d5w4SggTE9Bbg8ccfl+3mauEIS0kIcIkXcevWrdx7773SuouXFBWIL+FbU1ODx+Nh165dLFmyRBKvILNAIDArZkkQ6tmzZxkeHubBBx/EaDRKYogn73hlQSEQdvXqVYqLi9myZQsqlUqSsXAtCOtHTLHEIHP16tVbqg76tSEag8HAihUrkpZaNBqN3HfffUnXUzabzWzcuDHp/pYvX47L5UqqDUBVVRV6vT4pq0ulUrF27VqWLFmSVF9erxedTpcUgYpVMbVanfTIGI1GpW8smTbT09M4nc6EHNbz1T+KbzOX/IVfSiAzMxOtVktmZiZpaWmkpaUl9GIK+U+bzYbFYkn4/IaGhnA4HKxatSrhgSUSiXDgwAFqa2tZu3btTbeNj4Z3u91MTU2RmZmZ8PHNxdeGaFQqlfSxJAO9Xn/Tyg43QlZWFtu2bUu63fLly4lGo0mrtm3YsIG0tMQOX6wAAA+VSURBVLSkrCGVSsX27duTnk4uWbKE3/3d302KfBUKBUuWLOH5558nOzs7qf7y8/PZuXNnwi+ikN4sLi7GYDAkZcUqFArpG0oGsf9fVzzZGBWlUimrvSYDr9crizcmimg0il6vT0izOV6A3ePx0N/fj9vtTuoYZ+0vpbCXwkIglteTfUGETyUZiBWpZEvp+P1+GYaQKERxQiApEXUxLbFarQnVrIpv193dTXl5eVKEeOXKFcbHx9myZUvC5xeJRDhx4gRlZWUsXbo04b7Gx8f55S9/yc6dO6XDOlmkiCYO0WiUkZEROjo6mJycZOXKlbJoHVy74IODgwQCAfLy8igtLf3C6nsHAgGcTidWq1U6HF0ul6xfnqojnkI8hO8kGXKKxWK43W40Gk3SU3q/35+0xRyPFNHEYWBggPfee4/e3l5Z0+cP/uAPqKurY3p6mtdee01WEYxGozz33HMJBz7dDJFIhE8++YSmpib2799PYWEh4+PjvPXWWzISd+3atdx3331fSDmPqakp2tvbmZmZYePGjWRnZ+N2uzl37pxcIi4tLcVkMt2y4Lbb7WZkZASTyUR2dvas/YmVobS0tKSsAAGxZCtigxK1lBZiVd1JEM7kZKPSw+HwrGDSLxJ379VeAEwmE3V1dezZs4dYLMb3v/99jh8/zpo1azhx4gSNjY389V//NWq1mtdee40zZ85QVlaW9A2di+7ubo4dO8aVK1d45JFHADh79iwTExNs376d48eP88tf/pKioiJqampuqa+uri5+85vfMDo6SnV1tYzr+eCDDzh//jzl5eUMDw9TW1vLvn37FlyG1u/38+GHH9LT00M0GsXj8bBnzx42b97M+Pg4v/rVrxgZGZHLut/+9rcTDgGIR29vL21tbdL6FFHT7e3ttLe3MzU1hdls5tFHH8VgMDA1NcWFCxdkWeWKigoSqdYKv3WQut1uDAbDrBgXj8dDa2srTqeTmpoaCgsLZbvx8XEmJycJBoOsWrUq4XOLL++SjOUinObJPpciPupGJCwc7Onp6cnn/iW19V0Ok8nE+vXrqaiooLCwkJycHBn8duLECdLT01m5ciU1NTVUV1fT0tKSVP7NfJiYmOD8+fMy6jgjI4OpqSl+/etfYzQaeeCBB9i3bx8+n4/e3t5b6qujo4N/+7d/Y2Zmhj/+4z/m2WefxWQy0dbWxsGDB6mrq+OP/uiPKC8v59y5c7dU1N3lcnH8+HFisRjPPPMM09PTvP/++7jdblpaWjh+/DibN2/mueeeo6enhzNnziQdEKZSqZiZmeHAgQM0NjZKR2xTUxP/8R//wfDwMNXV1Xz22WccPnwYuEbg//M//8PU1BTDw8P89Kc/paurK6H+3G43P/7xj3nhhRe4ePGi/PzYsWP84z/+Iz/84Q95+eWXeeutt6TVe/r0ad544w3OnDnDT37yE44cOZJQuoHI1fre977Hu+++Kz+LR0dHBy+99JI8llAoxNGjR3nllVf42c9+xltvvZXw8+l0Orl48SKHDh2ir6/vuu9DoRCdnZ2cPn1aKhl4PB4OHTrEkSNHaGpqkukv8yFFNDdAf3+/HJ3g2qgUv7wai8UYHh6+5Qp+/f39mM1mampqSE9Px2KxMDY2xvj4uFzVycnJISsrC7vdvuDozEgkwvvvv09vby9FRUWMjIzQ09MDXLMKnE4nJSUlaLVa+X2yiX7xED6EgYEBlEoltbW1ZGVlMTg4yJkzZ7DZbGzYsIHKykrS0tK4fPly0rFKAEVFRSgUilkJpZ2dnXR1dbF69Wruv/9+KioqOHHiBFNTU7S2tqJWq9m2bRu7d++WSZSJ9G00GikpKcHn880ii+zsbDZt2sR3vvMdnnzySS5cuMDQ0JCMKrdarezbt48tW7Zw+PBhOjs7P7cvhUKByWTi6tWr8j7FT2kmJyc5fPgwv/jFLyQxtLS08N5771FcXMyaNWu4ePEiH3zwAT6f73P7CwQC1NfX88orr3DmzBn5eTQapb29nffee09m0CuVSrxeL2+//Ta//vWv6e/v5xe/+AWvvfbaDVemUkQzByJtv6GhgezsbBlvMDfXSFRHvJWw7O7ubtra2igrK6O6ulqGfk9PTxOJRKT5nZGRIUu0Jpt8J+ByuTh37pysE/3GG2/wyiuv4PV6ZT6V8JPk5ubidrsZHx9f8LlptVpKS0u5cuUKP/nJT/D7/ezevRuLxUJHRweFhYWkp6ej1WqxWq0MDAwknScEyByx+JHUbrdLwlQqlZSXl9PT00NHRwdjY2PU1NSQn59PTk4OOp2Orq6uhGJ0lEqlJOP4l762tpbHH3+cdevWodfr5aDU39/P5cuXycrKIjMzk6qqKlpaWhK2TPPz88nOzr7ungcCAdra2hgbG5OpE3CNYN1uN/feey+bN2/GZrNx9uzZhJals7KyqKyslDleAqOjo3z00Ue0trayefNmvvGNb8jrefDgQQoLC9m3bx9VVVVcvnxZSofMtWxSRDMHSqWSpqYmenp6eOaZZygqKkKlUmGz2WYtdwoHZrJLrgI+n4/XX3+dQ4cO0dXVRU9PDz6fj9bWVmZmZtBoNDJuJBQK4Xa7ZSDZQuB0OnE4HGzevJk9e/awd+9eJicneffdd2eF7gOkp6fj9/sXJGwlkJWVRVVVFRaLhQsXLvDBBx8wNjYmw/pFtKtWqyU7O/uWcmlEnpUogzs0NITVapUBczabjWAwSFdXF4FAgLKyMgAZVCeubSLQ6/UYjcZZ90GlUqHVamUCZ1FREfn5+TLhNCcnBwCr1YrX62VsbCyhvkT6w1zdmY6ODvr6+lizZg25ubnyvrW2tqLVatHr9SgUCqxWK93d3QlZ3UqlEqPRiNlsnhW1ffToUerr6ykrK2N4eJje3l4UCgUjIyP4fD62bduG1Wpl6dKluFwuKUEx16GcIpo4BINBaerv3r2bdevW4XK58Pl8VFRUyBsqkvCqqqoWXCJUpVJRXFxMWVkZV69epa2tTRKKzWbDYDDIkU9kkhcUFCx41UkEaxmNRrKysrjnnntQKBQ0NDRIyQYhcSDiSG5lZWZiYoKenh6eeOIJ/uZv/obCwkKpKWOxWPD5fDJc3uVyYTQaF0zaIrpWrJio1WoZ9AjXrDmtVivz1uJJReS/JbrSEgwGZeLnXIyOjqLRaHj88cexWCwolUp0Op0kPHFMyQwWIvdIwO1209nZSW5urpxu2+12fD4fk5OT6PV6eX6BQEAm3yYCkVIiFgBisRjNzc309fUxPT3NwYMH+cEPfsDJkydxu93o9Xqqq6sBZGrIjUg0teoUB2Hmx2IxKisrOXLkCC6Xi4cffpjNmzfT3NxMY2MjHo+HiYkJtm3btuD8D61Wy7PPPotCoZDWg8vlIisri+rqagoKCjhy5Ag7d+7Ebrej0+mora1d8MtvsVgoKCigqakJj8cjp0v5+fmUlZVhNBoZHBwkFArR1dWF1WolLy9vQX3BNUnSs2fP8v3vf59ly5bR399PU1MTwWCQrKwsmcw3PT1NV1cXW7ZsWRBpi+TBzMxMmRRYXV3N5cuXcTqdRCIRGhsbsVgsrFu3jtOnT0vdaJFLNHfZ/WZwuVz4/f7rjtXn89HQ0EBhYSFbt26V8hji/obDYSYnJ2dZqolCp9NJi/Ps2bOcOHGC1atX09TUxMjICH19fQwODqLT6WS6RSgUoq+v77pp3s0gnkFhAYkVtnXr1vH444+zc+dOXn75ZQ4dOiTjy+ITamOx2A1Xo1IWTRxMJhMVFRXSHBV+hqKiImpra3nwwQdpbGykvr6epUuXsmLFigUv/8I156LBYMDhcBAOhzEajTLLdvfu3WRkZPDWW2/R1NRETU0NJSUlC+4rMzOTuro6RkdHefPNN2ltbWX58uXs3LmT6upq6urqaG9v51e/+hVNTU1s3bpVTjEWAo1GQyQS4eLFi9Jpnpubi16vp66uDofDwfvvv8+FCxfIy8tj69atCwr77+zsZHh4mJ6eHukfqK2txWKx0NLSwuTkJOPj45SVlZGXl0dVVRWdnZ3Y7XbsdjuBQIDa2tqE76NOp5O5VwJ+vx+73Y5Go2HJkiWEQiFGRkbIz88nMzOT8fFx1Go1ExMTmEymhFM3otGo9KGJ6W1RURFr165Fo9HIgUGlUklLeGZmRvpkJicnyc7OTnhwElIRIodNLK9nZGSQl5fHihUrqK6ulmJp0Wh0FmnfTL8nZdHEoaioiN///d+XkgLw24xkhULBQw89hNvtlvKeCwkymw82m43nnnuOUCgk5/MbN26kpKSEiYkJLBYLJpMpqYznuVAoFOzdu5eMjAwmJiYIhUJs3LiR2tpaVCoVjz32GJ999hkej4elS5fKrOCFQkhPNDQ0yBSChx9+GKvVyqpVqzh16hT19fVkZmayevVqVq9enXQfQuNGqVTicDhwuVzk5OSwcuVK7rvvPhoaGnC5XDidTh555BF0Oh2bNm2ipaWFEydOMDo6SlpampxGfh6ED2ZsbIzh4WH58h8+fJj/+7//k9HiQ0NDZGdn8+KLL1JdXU1vby/Dw8N0dXWxYsWKhMP4/X6/PC+Px0N6ejqVlZUUFRURiUQoKiqSfVVWVuL1erlw4QI9PT1UVFQQCoWoqKhIeLodi8VmBT4KYTW3243X65XJotnZ2ZSXl5Obm0tvby+1tbW4XC7S0tLQ6XTXZbpDimhmQalU3lRiUqfTfSGRuXNhMBiuM8XVajVFRUUUFRV9Yf1YrVYee+wxufQsBJIASkpKKCoq+lwTOFFkZWXxwgsv4PF4pAypCGE3m8381V/9lQxGu5m8xM2g0Wiora3lL/7iL+TUEK5Zis8++6x0sK9atYq1a9eiUChYtmwZzzzzjExIvP/++xOaIooAP41Gw/bt2+W0IiMjQ2pNRyIRpqamUKlUVFZWotPp2L59O+fPn+fo0aOYTCb27NmTcGDi2NgYWq0Wi8XC4OAgNTU1ckoWiURwOp1SjkKtVlNTU8P69etlRYy8vDx27NiR0IDhdDrp7+8nGo3S0NDA6tWrMZvN7N27lyNHjvD2229js9nw+/1s3bqV0tJSnnzySQYHBzl16hQff/wxZWVlN7SCUykIX1MIgaq5ZrVYubkdhDof4tUK71YIAalknd3CmStWx+KvUzQaZWxsjIGBAUwmE0uWLJFCVu3t7eh0OoqLi8nKykqoL6fTSWtrq5wCbt68mZycHMLhMGfOnGFiYgKj0UhGRgbLly+XK5Nvv/02KpUKn8/HunXrWL58+bw5USmiSSGFuxTCUX47cpeERZyornKKaFJIIYXbjrvbZk0hhRQWBVJEk0IKKdx2/D+BqdvBWqJ/0QAAAABJRU5ErkJggg==)
Each of the box plots shown summarizes a data set. Data set has a range of 130 , and data set B has a range of 80 . If the two data sets are combined into one data set, what is the range of the combined data set?
![](data:image/png;base64,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)
Each of the box plots shown summarizes a data set. Data set has a range of 130 , and data set B has a range of 80 . If the two data sets are combined into one data set, what is the range of the combined data set?
![](data:image/png;base64,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)
Note: Figure not drawn to scale.
The rectangular mirror shown above has width 3 feet and length 5 feet and is surrounded by a mosaic border with a width of x feet. If the area of the mirror with the border is 35 square feet, what is the width x, in feet, of the border?
![](data:image/png;base64,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)
Note: Figure not drawn to scale.
The rectangular mirror shown above has width 3 feet and length 5 feet and is surrounded by a mosaic border with a width of x feet. If the area of the mirror with the border is 35 square feet, what is the width x, in feet, of the border?
![f left parenthesis x right parenthesis equals x squared plus b x](data:image/png;base64,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)
![g left parenthesis x right parenthesis equals 3 x squared minus 9 x](data:image/png;base64,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)
The functions f and g are defined above, where b is a constant. If
, what is the value of b ?
![f left parenthesis x right parenthesis equals x squared plus b x](data:image/png;base64,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)
![g left parenthesis x right parenthesis equals 3 x squared minus 9 x](data:image/png;base64,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)
The functions f and g are defined above, where b is a constant. If
, what is the value of b ?
The procedure was applied to a new sample of 9.00 milliliters of the liquid mixture to extract component C. Due to the loss of volume from the procedure, the extracted volume of component was only 90.0% of the original volume of this component. What was the extracted volume of component C, in milliliters?
Percentage of Components in a Liquid Mixture, by Volume
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)
A liquid mixture is composed of four components, and the table shows the percentage, by volume, of each component. The volume of each component prior to mixing is the same as the volume of that component in the mixture. A procedure can be used to extract the individual components that were combined to form the liquid mixture. When the procedure is applied to extract the components in the mixture, a portion of the volume of the components may be lost.
The procedure was applied to a new sample of 9.00 milliliters of the liquid mixture to extract component C. Due to the loss of volume from the procedure, the extracted volume of component was only 90.0% of the original volume of this component. What was the extracted volume of component C, in milliliters?
Percentage of Components in a Liquid Mixture, by Volume
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JVTXjW01N+p9D7cQ6av0rCi4wl7VEkYV7MwiFg/vODxko1kSCNNQgZXtoYokfapvqYgqCb1Ogvu4/PGczvC6sVlpVgWBcwj0ya3ldAUqcILHEqOg+e5CZMWRiQKBsSr0CdUhVrJRaZnxichHkFqt0Gs77PwGKtrunz1tGLlJpwU+kkm1TMgzPTvDHvZlYuiXkm/oU+hcHhK+bVoSXOIfz1mDe316CeEh4SPI0E5i38NbjcC+bh5cHtT+Q/KCmg+pTRSvgQDxnW5bKaPo9sX7g6Mzm5egQvkzBaSu8WLZhHn2lDKZNaEjmk1dPNYXibVwvGu5fRfGKDcqu10NTSD2hMEuuEc+YIAs7McCvmVSnP4uFSTQvNF27P6LoRcxDnKP1fNc1Smtsbz7ALSQO0Y9EZCigmRkHlgZSo5PPc3uw8iqnyKb8h80iaT99LALdXlZ073Vejud1UIlhBvFjYSH0myKO8/MZMt8b3k5rGmN9YpX0JFtJ8L+HRno1xGdiSdzqoXFJLHRprEqrAcJxPCQ813tyB2CLbXySsqXurf4jpEwItbGJuS11vLNszY2C5n3QuCjExzoN5yyXiKVOtTtlKQ/aT8jCpMpR13THWw3zl6uraYlO4xLjiJDOrS8Si+kYZDmJ8VaQSsXhx9ggXUrxoX3J/X9YnYLFW19MXakjlYoD0oMtBClmdn1CVWSOTC7ZcaL6T7atWd/9IzJ+ubqPoDJGJ1PjQzswPotHUpVLFZ7+LEXiTjEcIDMIPalhMrQ59fiySqB33bR+J+M9gYBUcUJ5ebWCDKlple1rp7jb3uA4nqvstGAmiM6plVL3y7sPVDQY/xCHMf7Xb4HFYJtt7DqFLDOqFCqZYAUYD06HGKFVUIGHUfUDDv5DsZ4XlYGSiawZz+O0RNG+cjRStaCJzSLJmYh42QJDHeefHkOhMIGc1K3M54jc0i0Zsv0msIhvSA5NErG4JOMSlWptYeYQjtxSqrh5J3/OgIpE5ElLkrbKrgEfV4ZoCDw43E9P0jmLho7y6MieXWdFenarlfBKW6fPm9ukBVBQF7VCNBKeic6mkwhBrb3CnQPdemDd7YI7S8jhaTNKrXEzXe1ui0QdA6XrcuZjrqj3YREELMvGLjEHWzk9aOes2TP8ifaBCycUkTwp7etO2n5ghB/pnosNlURGKn6CVdmbc6M0akjb17VCICgsHdS93rystJ1JhSdMLNQZzhKAGpRQGmMcrjfQ8LOH2aoqOSgLUvAoUK1B5mERzR4UQwRqbsaPIamcxU2ITfahLnkcxF4S1f35sN1hzqPxV8cpQ3UGhboXbRcxQmeSj51wMUg+5nz9ALC0rskAfBPO8MxdzPXb0O2/iKa8SO2trUVGuSECSVfR5d1O9C+YYVTO9bHZCMsVUQGA+Ggohbg+F1YKoHrVU4nosQ+ba90uwcL89HTI9CWozYR2aZx2ulFcMKQk4/O63ol/5jqJh+ixEyTQkmFEjSxP0Al5reYUyEjPV4kCa8KT0bNKxK/JzCdzR3A+88k85lL0KoTTuqjQ2DKRSNHoS/Sw7sssStFRSgPmCrJfAm0SizhnC21StQsmQT5KIKkOFFVvSElulaCrescVX4HhFX3osH2h+ak9JDFatbGjbn1TEDEuvwCHNOXAxk7OJR+KBgJpLhJI8HihvLcGG4hukaW3WeQQZWd4XTw1TeIWsIuBpUMcevstvS0h/LX1GKXF4gf5UTUT3sc9C7ARLz+8Abv9HztLCjFO2/z5gbr8C5l+GVRA9gSXr89D8UMJbC0KF+46Y7wafHwaL996OJLx1QI38HWl+tb233xFCn0/PbwB5WPp8+taEoPn0fBcA82uIUt8UpM9vm8D7Gwh9fv228HTMzIrK/xiC5tPz4+A5fd5//MrN/9XZPC16HMOtxMNMzmf2w0eU/v1XUuQ1/uwexcR1GNF7MiZu5cdfjQpP8cVFiqAxH4Ff/dRvO9/0F5fmrCEtJv66qN6T7v5aQ9M3V4J66zzxiwyWjvMbJtVDRUERqTf96oWg8OgWcRnbOQZuz3ExrcKm0ggql3bXbRDDrd3D8buYvHbhvkR4uEuMrl4NZ/q4PBJRJQFOHDVBBpYYgvD6V6N8JSaC4+q4TFM8eW8/Lr7XvLqwYQHS3cfXX9zEZr1W9xjqofnthk3Pnk1oNzuKO+41pkEGdTHFub9uMS689c5iQ4kZPaP7NKTAMGaUroOZoICYJEmQk/WFWqJ5GDwyhK/fHLcuvjoHCXwrUTXJGIaP9PDlI45h+nvBHB4Tr/eRxexyA0YhX8UUM9wALqwwn/W7q6mHMS1ti6muccQ4povqkgzvxTGXdJtFSqgpK9SQcdTY0fnDOX2kusb34pp5JJyTPPuggBrRObfzZ8fnQTR/P9emyOy54dB1JsYwcfT3jEqoMaUT1OjxM8U/jPE9I0rKGkOmxdulaTffq2vLStC4Uu2RcUDx2h9JSlDnryFx7RIMglr163taiL21NjWkxYwCuKcrHbpsF1g5h+aT268MZpqe+v9O4LHt19z+L4Y9O18WjPOe2wgY3wWdEwhRone0FDVmBOOAfJTLKKp4u2A57RulbDDzTIEI6iJY5PHyUEKrRIHqL89mQB9e3Ybi61MM7uFolxmYacwCNSAcI+8QOMf7OM2jz/9YBXcCR/T5R9vmr4O3resvQdVlK0f6fhws1ucnq7Q/F2LF5qdWd6FtrOEOzJ8NVPcnz94upfk/slb3LYEVm25z1k+DJZjPcf7/B/Nvmi8Q43x6Okg9wZBB3x+yvAkZ2MO6mF/SMCys9DD1rwCxVvdYVl/Q/C2O+Ao46bBKqf48SMfFVm9Y8Jo3zr4O5p2x3lb32ZVbrptNX6y0NbWhPSywcp7ulwCaX6TPT2g+drsq5rphr/AqpfovQOy9Ba4obzPNmZhfoUJsA2YZsmZFTzgaw9PsS+L0Ug72D7dnV/qIwMJxfrwzw6TDdmsbLth0R22/G6hYg4JzUIXp68B+t82/wkrcXk10Yde1N5pnkIjFsJ+cmChRFff0g9O+WbiX3LnCZnvBkhOVrNiM9HlsHnOWziYKL5x/fjiz/zJMxvKjVx6vJ8aqHecXx+0J5leQ7VERRBPb+7Ya/+foBWsnfOt1sLkXowh0Nx9JcEPfqp2cpHTOXayiWL9m65oQTiil/7ijJo9l9l8Gkc64YBwKjDObHNLDKtowwSo0L4o/cQzkujlzbC+Qp77Ad4FZnB5RCufS1IScuDNBcmT+fr3QB91F1OL7lb4esZDmGedbas4i+Gha83/XPYsq+riaNw6Bx5FUybl5CrODxPyL1UGe2HM4kNNb2XggkjXAvdj98KWcSlMQJyptMUeI1oCknlCmFjics04LL9yHxzifPvuxeNPaRrJIHmbC498EWqDuk/hJ2Hwu47DZVH0QZneM5C4VNI8xWcFtfx/bX1AgmH/1LK3FIKGSlT8+oECYGbZX3FhDc7KEmxo0eodNLSiWw7XCD4zDh44xkDV45GmQhLdgZ8ZwDk9MMk9GF5B8UkVY1WtGYCY8A8e1juvoCQvB6Q7Ap0dHgUrXYzUThUdw2J9tT7x/SgioJ+axyhPHNhuYsb7M7ZGAnC+2HuJcP5ifz1Z0WCwnXDHlxyhvoRn+xDPqAQ9j6zfw3N5b+zgSn2YRKoCSCEDoH+gfERV9w/6ul0Qs+BsaKJ2oQ5lukoyX1RAyirzyQY212NiEizbcc9a20TyWuMZdLLh9+p4EypvZVsM0QuOskKYSqRhxeg0BaoNVwJCsML0gzEugXk1vXi7b13N1cVD9i84bUyRi/hXNnjE5SkPxaVg23IpzWWI14qS5WMrujrcS7I06iVVwKT9GAXslKR5HE1KA+wpp4shuvJ4u+4HlhCS/AGF+GzSP2cXORlUCmF9z3t6HV/06ZUxlJ9wMSTNtXYu4sYt8FJdlXDfmEe+aavgqLF2rawo7mzrC4sUEGNTAoG07uOnUzdWHJdVIUpA+sxeqpP/bpQyQaMXcThKGJO6GaRtegL4rNGYuqOA+lS+8S0mqp3qFa2HdpuKUSiMSVhuYYlCiYmBDY+zHRtpSj/njAdNZCkD87swRFViF5js4qKnLOK+MQ5nvm08v3Fa7tyqyGhfM00SU0J+zmZTyafBXFPrX/woG8/Zs2P4C8+irGDiwzUOTHTaObOUc8woaI2y/l73WYUyBWPVAUAqKQmi0kRT1cUjTBiQY7M5YOVcudwnjMVhGBzmAcY2Baquwcq786Zl0DzDPfkNjvpXXNK+GNuKr1cUGjPOrnJ9PuFzL2EiXoiXgSZ3o4QIVS4ghhNBJGNkPSHhqCdzdAPIK3BbN4fUnKrFIJ2yFZwAQONa7bLUi7FRQEWyYwIl3tlUhFq7Ys3UX5N7Pz426ilgBYcbzSQSuhrdKa5VL79/ez9jlkY6EnRUaCbzBk0UwtpimDnn+5E3iOFiiMNGrW9jZ81eXTuKtiK8a+xgANN8ZMHgR6N5p+sZdyjwJmx2OBRDkh3ZvxZAwJ+VPGugB93DaSKOfE70Ey2R76/Ppsa3r2V5ju5TuIJJI7mpxXD4zaQqSC1tqhKnpLdGor5yLuXosomAzRrmkKUC1GYKuM8lZQjVefmQOlgDCNRao3XgAGdqvv5222BnCZdtYo+aK18McmGqZUjcIWo/bY+ekyOV8jUYjlA8WddMy8LQO81FiDUk7UQvjl8qIiKMCiw5GhV0OC9fqBjR//neO5qG6OgpgjDzEGvAdvcZmKx2PRJNW0arlBKrPRvDbXugOacf935IP06xhGFMZ2wam0XfXoCDSxfqW8mjWT5GSog9gM3ysSbmrbJkqZZQZ6KsGqrse5tVpY+BTxpJMJILGN1bM3wLo4Q3zecZUI9XOE/zMk/OJA8/lqlzDwi6HhTQ/GOe/+KaFRtrO+umWzwwokWnezQhVlw8wKrZiPmlS0QpUs6sVMhf1EBu5VQEQHOJRulQIvR8fW5VLlBtm5qD5pHT4qTFvu7ojJNKh4C4smlmCGLVDYn4Y+CxQlqo2eqBGJdlL+GkdTjwdNdluY94WTq24SEJhLpAVBqEfmfflLhl2ctLzG1BTdItxoO1z5js2SnU2ORrAfFgsHNi9Nd/T0Fesnw7t3oLmC0sc2cvUbHoT6mzDvDoDy8s2K+Vv2wj1Mb8Vdm/jsV/YvY3hIRmByvT5MRLy9DbE1PS9BiwPTSmMJsxxETDms84qXKEF9FSU4JgDRiBBmh1zsMVgS6vjEn0BYF40X1KrbJ8TQhLYzlVpxKMVaSWas3urmk/s3qrOGMZUlOTAgnnsJvNwT/PBBmzlHANYBpsQ7WheMnvQ/IUP1fjtDaD5YqKFrveZOkUBaH4tff4LkcFDYG1+ClT1ebhQYteTvBINDpC8pXuWcYbddDkssZMz5PZg0N+ZSm9ASFrFYnMgHFzBbwMfgT7eibgb4zw2MIu1FJ6X7MbMcHlX2IRWM6jmgUpo3i9BDoyQCsJ8Z/fWPRUKKu1YIfT5DDzupSYOlWUwvw7NS/HcNYrpgDnaxu1Zpwl5RuVBRukY6mGvHmJreDQmtlFfLdiSnRn03E4OUstJP2t+A6xJPaLatwfhnhAXJwgerEa25i2XalAkPCRZZ6TusANdB0k72QqKzjHJbK7QfFg8RmgYVgBzX35TYt6uGdn+SBesZGVyG6RI2X6Q92JwWRHIg0IY4Ds4MoPUGpAenjRDI3WTS8xIHhi0NP4k5l+m+YV2b3sFVCSLtcnuYYSW/ckLOZEnE30mJXCb6ixDXtC8uNY5bF2bJvMJaS0iWdueLphXTY1mUWGxeCzMw2+sAlQ+5Bx6mpcKTcMa82OaV+C2SKiRYNiYlGSVWXI2V0TWLGJxs4c3XINrqx4Os6aFQxQjqbW+nElvdUsxgqR58YZRbRbDE3Zva2rWE3LaJUFSJ9Np4vBlFDBp4tSLktt/QfNNq7OgRrdK+ZE5zJj+guaTt2Pygc7gsSW6lPodDfgozeulldvzhhRDGqwj2zNj5JlKXLYJatHeURb4CUBGURjfuIlSQNXRXIBIjr5MTrQcFPNftXKuphpqvTRoPzqqqZmxOyo0xmix7ntOtcU4T6o6zqujpIQXkqwzvomvlAdS0A0M0kKdbC8J3gVXbvm9FL3MnNP6ntsxZmVxIcCNZaIQosiMeA1co3aAw6wwzptQT9jx5stTYplCc/QnFTg/OimNLbjgHlWWOCzf15Z2uxJtDYEvGHnl7jV4Ya1OQOOx0kKX1b8wZA4sHRvDxArjDLrxjTBnUU+x6tjotiw98VFBEYDQLE2QtTQNF7voIJLhmGdRk6G+WsgWKtm/RO/3oyIK0ZE6zZlCiCOyBMKssrqMkktpTPP78BTpT0zb19ZE0WKDFBtgMaA8seuqQr0u2yPwqrdixpuVBCnFyteLlEzlwCH1UjUOs55KHvPeagcJrgW3aicmqO1SvKI9HfhiwRLzj6EemqfoDVg+Y0Z3HyA0u/ys2NjojSpLcxOC3g0WVA1V07au6TdV8j9L7+eJurDLHGdZmvPShlKpr0tauEiBUB/AJrnyoztgZUfsyIgn02rr2ktCyk788eODWfLSXnBeVoz8rVPPinWSVoCefx3zTC6nGRhsXDBKu3XCJENuqfWkhNk3vVxRbtRSHjW7xj+Xg50azFmtYZV1Oc2PGsgU6YkUFUitT4mgZrkJS3apVsz1CTowFWf5xE1g9KmPh5XzfmOaegaTqjsmrwh0s8Sj6hVqR/DrvLfqQeIySmXVgNFEvAKpQO80o2EF3v0tsi6ZMfnnTqv0GdFgjXFexdFb2G3J1QUWb5dUSkelp5JI/TJp3t3NRxdaOygo9BlAlEaveJRYfwFLMA8+B+O8gS0WXoPrNmIoqaccL7mqhAhDgFGDC6cC06XkEKoX47MxDP44PGF+J9OdzmTwqDM3czHyWgwzC3a5SKSx7XPyBZQX0c5eWc4gmOq+PM67ONG39Of3qxp2uyIlkfzhVqSL3QqkoncdlmKLVaT3BQitLj2/g8B8ehoIc/HjkjD2hye8NbwmYRwO2bs9YIiHSqDd8viR/EUEUD0tRjfSB/RpAkrKUXCCMF+47CugzP0G/spr7Olf2nvs7gs0PE9FdB/7LIRW91hO8zS/Bvg7Nt/P7m0dX//X8AeafCHNI1tMaf51QML7drauc5xPz4+DJ/T59K0JEsi/H+ZV3RAPfyYsm7eXmjWW7VcBvk5f1uq+DYD5l7W67wuxVvdYm0PzgfmQMuqvOauj/Ya3+uucQjzr8xvk8T70T/3aZfxrF35SOv2RKP3aZfbWu4dB/g1vs792ab/OOfebufXuX8eIjDcxCfoQGPNSQpn2WhXYFf0prY45zu8DUsV3Uqh+Jnhd8PFxfs8JeVRgdEoU+HD61rzVPRNTnd3ttJc2//HJjlxl7giptHFLLzD3aF4i0fAZLuXxaW4l0Sjel0x0Yk1xtw8PMPsaYPwa3+JS3uNb9XRuX2dj8lYS+DII6sN8HT1Zbr273viM4+OyPatsTEKvDXxp8PPz48zMVoXO+d+Amddx5l3I/77wUtnU6A9jXjRvw9/ANm4zkDHTBCVk7tHzxxlI35dpO284Z/L64tFfQpe2lYHVgM63FEbl6F4xDSlAELP84evhy2dKyCgmc5nPLKK8ZPIg6o87kcEdK9kA5rKv9eb/AEJ6yEQdQErcyzPhgcrsHUIkLjHlkYSMIXQUI5iPwRd5zsWUmy7s7dzGe2fTlTLlDRjGdBGAIwcxfYJRYnlJz39LXHwlJmH06ARKfJeZHAvs21u254zSl8Ao4hONBo8pj8HBvxH89vlpgiceKTCOOXCKDxGvwG/z/l/DkgIeLpzefFy2V1t4H1ioBrOQ4dzsrI7xrd7tCm2jpcCVt3B1t4DwDILCO5c4QEHxFzBMMfXlWl2BroCC4s6Q7umMGSXoYRDP7evMimcmprhbAv37r4X41nmrU5r0ItmeObwfO7UxAa/VPUoVfx0sOVEZ8/b9npwfDUnz6ftx8JJtrJ8NPx3zy/bb93tFfjr8eJr/Dmt13xIC8z+2ny9cq+s2Bv58CJr/qdV9guanqa0qxCeVMuRvgq70g+Kvyu1nGy1dY5jE/JFmRat7eA7P4/xEtmdH4YXNjJzz/ftIpGzFnJSezWcrrc/fbnHMt4FCvrRyNbL59s8xzg4l5Amtl2EJt4cIurO0Cey5Z0e8bY78beMi+3m9cdd7xr0aX2E1mvdLht0qQmZ3/HrLcJdYSS+nLiX9Ip0vwdI9OWNuTw04HqF/4X77Z7bsrAJz5XKvNcGDfvXc/rhFYv7l+oA59SuOWCXpGu+8c7DH3ADeXaLcr65SOOWpMGb8r5dJEJh/LCfT/BDzHPeheTRIHo/Hy+Y+Pk//XWA8iBuw0c5WEzYq+NwHpmwyLqq7Ag/jSAcnbDALFW3HaZAdOxGmO5mFVybITxylCeZ62G2vmBFUSifVs+uoV0skPNN8z+19gMmHZAKOe858v9xWfwJu4pijgmmo5ZB6bXx2X3XnVxPzr3JW4ZJ1dAz9lWPkIhcfAuJ97fSM4cgBv5Pt9jgxB82310Njthykf/1kFbBsnB/N5Kj/CfGNIXImdNLA3wKExTDK1EF0246dQ53dssQqmI/xhHVInzh3bpiLoYdxOLC3i6HU4JkWVhIfquUklnuCuC19RP41BiBg+TjfyfaYG2kUL7hJTC7yh9eFwtmDgtPVOxuMg5THr3Mx8LJ0NuhCbpc4zd0n4vh8T+OKPeynND/Ndwn4dBVnZJQ3RmSUG0fJ0qaAggZnuzlFHZIStiLUC30EW2nhBeYBmMt5rUQFFmK+l+0x6/IR1ikKIMUWv53TnNtRoeYy2D0Kk79lmIBvnEwBEzlZZakhQuLZ5+dbGhvs2A7OhKs1epPIK9F8VdEutvlFF5A45Fa0EYBOpw4LI/bSO0TlR3NZUoaNBZvLcdqXYfEqbRPebdViaiEpKuKTjRwSLtEKl4fgEGjtqvEIiHKKrQ2PVCIXo9JkKtJlJj0xIp41HSnfhJ5e8hLJfGAGh3AHCDDTwbHuHsg7nfKA+VfHVOVXckxjP4zyYc9BQZjxap0NGyLNTg7H3rByDpFjkkCY19BRTl6+DM9rdWZfY+MzJc46qdW9QAf9gOEO5fnKaTXhJV2KV+xewi5h0n4KOxOCQ/kp6q2QiefQP+pg9w8NpzyI229iaAzEqTS2eIxlhniEzOkMv9RBV6H5DjA9KLTdNMoXUU803j6ooM562hbLRyIrpYLmbbHAmFeZVxSjFnP7plJg5XzGEqJATU2rY3k8RWe1s+3WMd+DsVnJA9isxOCGorF2gK0lpUf5SXxIHN/ZFIZFbgLU8zCQgLFgPRoWV5yOdyEo60HEJicKU9o0q8/Uf3xi6LRNgmCFcWIQdQiB+XjJCnC42uQZY3kRL2zosza/aEmNFDQvJNvKebWJZCvnu5Sq1ihTaHWP5QQRdDR/2n5h8dg2uYVymy4Iq1+MDGHlXAjB4DgzJ2GzQj0JUyqfnxtMu7LtMS1b+eSuiRdjt6oxHeQDyxoY5ziLWtwK4oC21+J3iZ0Lo59n7CE0K+dhYRb7LaXw1AVzK3OlL2Carw+8DJAtsv0NI745iATmw00KvEnzqitUTodWrTS+ixeKjWEvhOkHJ3oJRPML9uF5nE+PbV3PWlGU7ISaLCwgzKQBlf0W2+Pit2zxx4oOvJ093/RxrN7YyjlhtnBCLltpsozM6u/RPnBDLPA5mY9jKZm6mfUfRkY64lHCnN8UcgjPMT+iQR0Tt7WTq2Ufwfxq3N5zNPTV26707cB88DPA2G52byX3I9xjgYYVBFtfYJMlVnZWQP3ytboiDWPr+nPWvj2H4YOdCfVqcXNcn5A3BVHdGOiQFKo9vGLlFbNGWD6TdGuLaQSJuZsWsIsSMiV9xbwT7o5SjiNsLdqYrLmGmKf6CTn4rG5pYYCQsKL8JSTmf5VkARS+zXBfJMvb0bYkS7lcg6R5EXu0iKp89WwfYx8bgsV3+Xjdy8VaItt7ra4KRbfTvK1r0Si2yyOcISHM4KmLFVvX1qOJF0qVEgeCdp6lxfirVB3mMjaJeaE5vp7LQO8ZDWdMkOLMQiRPKs7zIiEwk6ZZPKYdh4N60PwgaATGfGXFrwJUYwXudv2A5h145CsPtRAShlSVxLwo5dODg+fxkVkxkAXxY89pBUlvoVbX6fMoo3NUY0Oizcq5cGulORgBYUxhxQiDlJWYp19EVupeFMkKbb4r0oFmDfBh+jwwz10jBoaxVDTilEfYwCRN1Z+g8KEaQv7qIJPSd5A0n74XQeVMFIsEKs2PuP2A5gsXtJ7EACcuf7nwISHP6L3cJZfJ9oPZWymfwur0WVUnP9WDB3uGIE0VTkuInM4LgRb9dULznKiW9iN5KCQEgdAUZhTBfGhBYfdW+Wp0t6Epg5kgMWYzPeYnNjCZhhrbOx2C2Mlq3J6J4VTfxhJecbuU3TivZDn+3ZiXkD7MGC/Mo7/EvM5LsEy27+3kQKcTfV5gLFbMa1QLA4hKHZhndiIwzzTalObp7cKphLmKefpPDOFSE3vMG4HKrBx1dkWC5slfFBJ5iErGNA+BpeDxBQTN/yLB46CsdqXhsHBatToE+PoKpdIIF3VGEa3jgKqlGrTpe7VbLgG8AML8ojM2nWwfsvO4aShefGgkvEnz6t5gnsRB8+4EjeaFhkLzEtmUKxPXhdtD8x4qzO3dgpXm1Y4jK+ce5yP7X9B8dNCR1sZMYjqdAnN+gwTPgQi2La2CtpA7wTxzG+UN6o399+qkH9V3i+iUThXCFB7tVj6D9TwEzafnN6Cm6Lm9xabh10mVRIMS43zmyddMUqdOsiUXyFTxqummftOiWjw+7jEATeVC4yPssPn09Je022r3VuO8HpW4KCWwLwI0P2f3djxtw0dXgh1VUIG6cV0FXWecv1U9DKXSpYo+HZVofQtKSJpRUzN7azdFObGWpPYyy6Pbr2DffolsP9DnKUAqzAWYhpUkyrdrsj4sUxjhkG20fZPwqEHF/GdaPPasq2rZ9R9owS0CO0zMI+EpmlGhMp4YteJrJnKqIfkgnV2oUsO2Qvgss0EJenffkVWSNfbhefI9Cs2AFEgNv1ds9AbWCwgQNnKOQRJA9nGA7RjyqNNsguaF+YaH5yAwX97wa4DmczbWkBpVQz08aS85VM2cegvfrkoFvNA8ZFrHeWEejBoziXl0V73DX71NEccI572m+SSX/HYVSiDjteAYk7P+zokfDJontb9jI1ctuyBGq47kLIb5QQMcZgWaZyZzs7MdmAMrEMoXqdpRuUob4rvKgRgcsgcW7FMYwBfTthpI/TUcibWjsesJeILmW2ph2t82QLLiJ2qmH/B939hXcLuIvt2YHqrDBeaDQVcr54zz9GI9gsZq3KpZEi8a83Ljz4VOE+SSNE8P+fhUT5Kuc4k1G7h90rz5Ki4P6sz38GwB9YdB6aHxnveK24vm+yeeAJMLSrj0cmbiQOA+TP3rhSHFQcuhjnj2U46brcPnq1mpifUNWkLR9CUnfwWE+RmdfB54o+gxfQB4oloXptc9G+surHRbTp57xsnisedPzy6+5ygRrW5H9D/L18aM7d4yXBi1RjNThjbqbYwwzqEFlUdDxlB3O5+VkulNcAshSWC2a+tpcZ7kCyvKrDRmgJioyJFZEv3QmDophjJbwkvfk0BbiC/arsmGLZ4g+qK3ijWyL9PN6Sq4v7s9c5UqmwGOgL5qp7qR2pUeVGKfhmXz9hPrp/Aplf+qNmJaMXe1CUUqudoUlDk9oqqQptrRFHcjhG9uev4tbF1/SJZXjViNz7zBhTCqbGKZFvbL8p48B0yb69HoZzZzjlVr0I0ibLUJkuKd7nnqbgodkzBCt0tPUVllGsQzdr2KefVz1fHOFkyukR/DiqoKkt06TEoE5lVoSIkuEbgm7OLPu4QbKlCJh1h4Co47MP9YNrTxkOYFYJlqsPame3ZFOKdDT5E8/DwM0oRPf7JAT4oYqJUxz0bFvqlJSi5CvNvHW2WViR41xtT9SYw2gC2jwhDZ+E+Hc/vCkNzY4qPbWrwGpaBZ+vZyXv/6d2mzOBuVm2vpWdSELf7ZmEZ3CEH0RcoiwcBRAuTO0iEVTR9dAfEL9fmBVpcgzsvuF+YXWQXNWHbXEFj6qhIBYrwYPFcUY+7RRlJUR4/z25M9XfY1QeQaj6rH+FFHRfN4Z0YyC8lRxJQ0NUfS+K14OlC4C9olTQDzL9N8FKJAfYG6ZbaHgUQZxQOUpZVEaVuHjYq3bvE8LJm9ZZTpZfv1gBnb72j9dA3Z/nVgcTmdK8Jy2T5nV1YFJP/vZ/EYWX8kGPxv4I8UIWT7x7KGCPqZnPXA3P7bYX6tObzvCQtpfh3hYgJq5Ps3tG+/wtdMvi8sm7efke1XAdZwy1rdtwFVlw2+6ftxsOgblXwzSzS/PjCRyn749K4IUgiehuD26XkRXinHn4HQ6h5DPU2Bpnz0T6Cb7r6WsLwzSe2br1zymkHDR9h2+clH5tC76s+PlGd8I3AQ027FqWt303/G2VGvjsrIFha+uPH8XrX15EGLMQzdX8fEVXf/6ReJyyODBCWievLWX10oe3TLoMym+pp75lbcuh8htkX6PJMkHH3gHIXvFYoz79OYr5/ZS777FOqZSR3Eh1uXCCu+yS09CX1Uu1Qo5WhQ/HmPGzOo2yjROEXkUNwBk5jpayr0aQcwjqgJatDwxn0a0UV2tx4UxBfDH8a8aJ7pUGafemj+4vrqLgjnKAKL29iV3jKLN4mMmyBc1d85WhpD8daIuWc66D0tMx/n2A4SBmTQNKY+mfcZ+DrJlzEtIF01YJI04IvgDkih8dW7Wh8CY9727b0CwZRk3juPYRTje0ZnxMhnCLevo5uhuPt0w6vv4UlIzzBZu9VHMtBQEqg/qjO2mEGl+ifa49wHmcXjwycTvowpIX1MHx+e+pr2vi6ovwlqZjVoxxLngnl7PmzgTcCx41GQrgxqlxpREzQYBumWTEhOhw3je4igEqF7TTOJqZ4SM0whyKKVEhrsdlqNQdRW7D4CA9LZ3wZBg8QBc5UaJBrEBHwdlDBTqOEzw+TAIMQ7pxbp85bw/gT40NAfhcXlPokrnn7sd2y8P+Thcb7q835CF//xKxf++n9u1Z9QvbqMouTOmEFchpWQzlucNSAhPPi74PSmsyvxMBAfTmZyQp+P+D5VuUVYudZiN4iAlqDcx6lqonSVvwzsPBFSY7pbRmdmg/ipZ9la3V6y7o+d2piAZ3IebZu/Dm6L1uc9e5u+Hw85k5O+Hwfs+H5cth+csfnp8MMxv3R9/s+s1X1LeGO+ATTf77392QDmv8f6/B+BWKV9rHam+Te3/yGw/CzteE/OrWniLAb8Lf2CYrOEkUDJR0W3Vrci5r1C1pxHfrTX+LVu0FaYiZ/Vw3S/AvEdm/T8BmZp/mYzWF4V2O/YHpzh3x1sj4vN4jF7KBgz9nVpXvhr+y85fnih0QZbLQ3st1SBWrC3l7Zk7N1cpUxPjPPpMag+FzUfLbfbXYuJim8IOb/RAIr2+pOUdu+299GAPklifqX63LDoli+4HU0lgtFGb6IutCa7z+PFbMOWt5ZN5V5nSiX25DxWuxma9y5FzsYA2Cspx1+/HYhJpsvgLusDoVF0rEtv+rNVrq4w/1jT/B46jbhswvci1fAFJiRYqHoFJHbTc+qS6ijJBXzSapXeuIzmfQQgPYAQb/N1oifgqNoNGu/7gPjrqGBqZGxuHVx0sLGxzZqWaF2avzSjhxwNidUzYX7Q+PQJrPpxkjjOnx45iXU8ikVEt+GMyUo0v1Sf72leiC+nmgMO6rADnvBdQDzSR3B6UHW2naUczuOJBbRWTcyn7zUQsu8fpanIGAEDtp5nkBJu9bDNPi00YyVEBYe1Un54/Uot/JI+T9P5bFuBI2NZaSsKms4BtMC56HHYF7k8lKyF3C4b01Cfxphvp6blvbej+ALL9itJrOIvWPmsmNfwnjAYabGMGkdoOUWtUVi83WwhDtEqAcY3HhycfwMLab6ftxdr2mKXsHua40/ph/nDRhtYyDKEtzkFcsk9CBLIN26bmqwLJd/uZX5RnxebKcPSVJ+VhlTMTKZPcZhvyDP+ANVdh+b1fo8lhdsL89GKfXEASV159J8D4Gpaxk9a+HYKK+di+2tpTwvH+Z7maak0i1ABHTUCbDdlMEqCCI7G5eE7JVAvqfF+jp4zeMQ2jgdaTCQbmLp2QBWc8cab2jE2kQw7UIYkhpAysJkhxvD50QavxHz/nidBIsVJ/KViXlLcLPow45G2JW1koFg511PiGXoGZj9s8OdhoWzf0bx8nH6frwIos46c6CBA2MIaeWjOkEHRXYQmhZOUsNpdlIaT42g0DiGZcjnoUh/NdPkyyuI3eX+ppKLsDSqqbV0rPJ8RYG9oiHkWLj+bkBeYbw88DTdoANusHeYvKrXA8QVU3W2xKiaUsx0eQyumeVs5F+KHxPQKLKb5xt0h+fnjEWpUiS/W81JRQsKKfax7BNq9aFvYw0YW2cVJeXWTCzuginogfDoXJczj0pydlrtmkr3q4Fc5VVi+sKLJbioOzyvNUQXHgEthNwGodSPMnyyGFd9aNK/B+XRQN2vcXoO2KjGW1dRIGt3j9eJSSPfSOMxlhfmtRPy1vmEDBM2n5zegknUzORh2+sLehtrUFppvJ9s/UxIsu6hRfcweLVoOQdpN+McGiSUyCFsYsc6tIhKwMIICxwvZCDHJe3/34p02G0wyIci0rZFQ74JNfkiWIvvr/cOmsWAdcZJjIDMEt+/Lb3NLld0n5sPzPIgjoVdg07PSvIrKvFfa9itgJoREb7fkzbB1TSKMDuwxCMADqpHTvAas2Axe/ysYyvanrzCv4qY1MpswBUHs+vrEuLkAs6NBlVi3oKbq4OdPjcMiXdAFnlU7ug0ND6cLy2pqjQ9luI9k+QkYPexkomsexI7W5xlDuBdskAjdykENJwlP3WOE+THNY5WpEoIwtgrmRaliT9LQq7ErRk02dauV2rRs9uyRDUwL9QdlwUyp2AQj5pB1PQvB7R/LR0TQcXtsXc/P+TMNEZW0MhNkhxks1jxFgBiOgVUTa2tnisVoOaM/BnBs/NJEEto29m5sZ0nJMIPMo6CSRlImuzCXxaERqediEZLQd+IVng7xsB3JRyIJ9DQe57HPl2aW5ROCxpOry0HlcZuZCALzKk6MRtIik3EZKGWjefoqhrRgZeJ+O5YZNB4K++oEDxPr17D4/Hxn5Rxb1zPP2spxzpBgFS30FA0r55AOxY/zLJ+7Q7WNlZYTIGyxIWHhnnKuUIBtSEWrAGo+h5GxguiNahqLfVjZJFGxjRVW0Uhe2nEARz69NcK8ytMsE60xztO/zNOPjdsL9V4jVJ9Vf7ckEsGM7Y3mo8SwNA1cV3UVZvfkE8OoMs4LsHCtzu9M3+kOh548q06+/ay2rjFO50fC+ilhiheueA4am7F1jd1asJ2m76g9Zi2Jsz08P4r5SDCPqSQNAIId1MGbbAPTaTY56rgdRzQfzHU0znuoKT5jvo9/AtDnXBh1M1gZwKCjksPzsBFTimV/T/Nh887GVkJcloi6Z9u7qH4oITwDi+fw2kwO2u/cVyHErzu7t5s0McokRWLeVMpzQs2U5gkUKzmI5AsSgovYhBY0H4+6fwhZW07CsNSG2A+amz08DHK5tfWg8q8lD4CRjmh+L3bTqa0e56NUz4KwZNXWg1f7LGLcqES3uqkCVZqPcdKFE4dQBkxsYOPeVr9yRu8lEEKYJUzfr4GG72ge2zYz+ryYmHpyaT5MjIJmcJuY56SOMQ9HT5qn9yf5qc7w8ZGt6/gKAZiP3l5oHquC5dxjztzQnKFQMBGWNE/+w6Kizwvz8dKAI/2j0oFp/sW1cL1DQrGKhjbCkvCQVNn/2qjXUl3h9vCyUmI4xEXdmjU+N6ZEmvHYtRgW03zronyLJL4l0wMil0SsSvOYPuIFcojASAzNx8rI0AZm0jy9XTi92I6mQ4gOW9fScRrNB7eXlGaZL4DUjebBfNjABPPjtqKhBzTPa7oPmQW3f7GBNZazFrvha018gaF2ZkM/+OuF2Gsc6vN2A8iJpnWSwytWsHW9aJzv9HlQhOHKwsAM4kooa0HJADTvwla7t7Z+Wmge8iQMzAf5UT3QZcznu3IASMy7yjzKkILcP5pBVrPE4GnMB81Lap6wJ9SIHvOeSOlkbTD/smzPmMywLJWTw8JWcStQ7fi2V3hLpQTHvWSUhhip8qqI1JeG+RcLBmYWYH5A8yGaD+oigoezKTi7a4zQIFCVVNvzLBJe2r1tEh58NjJmDk7M2tpd9h8wb+1vMM4HzdvC6YCQhjQf43yVlzoQzQ/GeUSGPisw/7psz2Y/gaoq5jTO7rApqkQE216VXRZwa7eTGgj3UQdWXwTz2LfPuGfhidnb9AgktTAY18dRVPdMVEpCzgNpIl0QpGbsx/nckAC3r+N80qS1GL3DBBjyI8SoDOWG5uN9hTz0JD1EDVrZ/RzNl3G+k2hSn88AS9qWwcIvSMyn71VAwsuil4KqWP7mqBwoebpL0MhGUky3/i1Zk4V8DaQe5+lGXZd9DpbM3lKAJuEJ1DbIYdFrBWAN1XovcTtGBXGJFF5bpWBkgfng4jjULmGxHYE6kHVkEstZq6tjAVquoHk59GjSPGPjmWkudipeyCK0OrLoaF4jkKjr2JOcO00yApjV1ay0JUjZPn2vAnN4URZWGqNeEtXLfotYmlB/zs4nAVeVz8Ko+G4JRsLAvEX8iHwWAvOPZQIRDDDPUAnnFg8DRDXGC00qsYtZtJPGB9cEoSB5sBkZ72TcAvNyMc6XJ3JVQgIsS9QKC2WSR8Wf9QZcjDTusu40kpyY2vSOpdvFqhlRTAaFhMeWGH+dVJ4E3u5Z+ih6sz9cQAVlRTB9r4EqEWt1eoGq6FGEBaiwq8vKRJAKCx7q+J5+rAqz1z2JpUhCOYN+I7dnIbS69PwOYpxPj4He6p1FNuSyu0a3ZoVEyFKQV1OdjnHOMoFUE/UWT68ys+7NaaoRCzqhm5lwyYV9ijG/HxtRIEJvApJGqz4At4HLq7+VhRz56YySDelFKq5Giewz6njbHUpAZE4f0zB/ttmfKDx6d0QmrMftVSpWaWOcp1wqbdFDKR0rDJYwhGQRl3oxry5FZU4gtUtRu6rpHjks63JYMs7T44Y0T52EGFvf4CJ26RK6Q6h2sYqmADWzVDk9LBywEmsDDMxLEAiSrufPM8qPiZwseIgOtFHWiROheyNu70edCfkJh6x9C/VepKV3xJuYzg371jQSosK2LzyUp4Tkr3Kq03QvDoDHroV5WAoFhquoz1F4lbegzwExFLrl2J/ZifyXqxhX+DL69eUEvXSRbB+8KL0JGrastnCpXRGKkpdNFfYLiaw0mBJhBKq1Rmbvu4C5G/N395S+L6vBPDMXudLJlIcpmx2oejZS4xMCo62c/X7n7D0ABEOl7bMTBDgzv5+CqjjdewNU3cETLwAl1JtyRR4f3a3mTZuUHX+4d+Wb0wYVvcl6zkm1S+8LYD3i0cpB80NuD4hxIl95FaKSDdtnHFC9BvX46sRFEgI9zqP8DBuaiUvCInD4aLgiIhQnPH2aQSLStOK1hAodFLyBCrUKcSkn3h6v83uyvB1yuxLITWR4DLfOR7H7J5+HpTTf6/PrgTE/mEj9BsDAsRK3/46wZH0+tbr0rAlg/rxLz3cBdfSUT38kLJTtJW39GZrn66HfjOapbggJPxKWYB6RJz+3sjJ8U24vmv8T/fx7wDKan2p164AUl2/5NRPPuKT3p0Gs1T1WO1GmVFK1Becp9JeX13/My3hX9AsZds7f/Pq/uV/8KcPLdQvR16D2V/6/ug08cRv9Omf9xZ9/k4D2K47+b+jr/yYB8SfFx2smC2ieeagLE8/eJORL9YbP0MUOoYRlev+dpI6zhrmRQBUJMlXcuM79d9dwNGfx90BYhmcy+3q3ofiwvc6MkxyRJv7Kf/PlrTh7j/15t7uHSWAmbDAJ6ICIiB+4+j//18jwFcfh4B2SD2Jeag5zXj4Cum//vZPzodWR13pxhPcOR1z8C7AqfdZPeQscmKnjlsl69yA+HeEsj/geNzvxlFggfAEZnd6IiTk+pqYzyBBxHdijSwRWRxdQ71mQeuMvfbjscYCjMtDu9GRgi6nXsQ/AnU9UX4BD2f/z8OQ/c7BhLHm38yQiwI1NcNxqTL0xq+tLCXLivOnn6Ot1e99uYy6VsPivj8QtIzJsPsE4KAPt9LMRQRCBXOI6F8MnN5k7jhhd8xYJnIhbH5Nhk5h4hEtNW24R6OgMKulwlFSDm8P94xJBNcYhXRAhjnDyEkOED3o8iHoWjfQUmTN9rHu9BZCpJ1zjZochE0V8FCGhxERQPFPcNfHwGSfK3OwdXl2mLj4g4wc3oJQy78Ur6ENabboENSSghdfX+DqM0a+rVIYC6Z7G5CMOGrYqiUtMpCtQXpO3QW6CyGaJ+Hrk84lsuzH4xkJXuZYY3zKov7Iklve4cYl4QeQdbkEmrmmbJ4MGbwsYxnjhj0BfZm+d29d6y3/fIn50szOSlNfUmHSXBMNnBiFOYLecXYKadXMPY7qIeu+uo0d8L0Hh1q0/X/o7YNodwTAlTEPcuEaE/ktQ3AU47eljSkAJi6sDyiWC8pYOgV1c8t9/4e5CO1d5OO81mf+au4UZ2g3XINDXGhEOh2VIeEpIF1ZLkD5D+gLsihD/4Y//5vKt3OvNKTrf8FrCA3zPPWDfF/ryPV/W717LN7zhDW94wxve8IY3vOENb3jDG97whje84Q1veMMb3vCGN7zhDW94wxve8IY3vOENb3jDT4R//vkP1Doa3alBgEkAAAAASUVORK5CYII=)
A liquid mixture is composed of four components, and the table shows the percentage, by volume, of each component. The volume of each component prior to mixing is the same as the volume of that component in the mixture. A procedure can be used to extract the individual components that were combined to form the liquid mixture. When the procedure is applied to extract the components in the mixture, a portion of the volume of the components may be lost.
If the volume of component B in the liquid mixture is milliliter, what is the total volume, in milliliters, of the liquid mixture? Percentage of Components in a Liquid Mixture, by Volume
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)
A liquid mixture is composed of four components, and the table shows the percentage, by volume, of each component. The volume of each component prior to mixing is the same as the volume of that component in the mixture. A procedure can be used to extract the individual components that were combined to form the liquid mixture. When the procedure is applied to extract the components in the mixture, a portion of the volume of the components may be lost.
If the volume of component B in the liquid mixture is milliliter, what is the total volume, in milliliters, of the liquid mixture? Percentage of Components in a Liquid Mixture, by Volume
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)
A liquid mixture is composed of four components, and the table shows the percentage, by volume, of each component. The volume of each component prior to mixing is the same as the volume of that component in the mixture. A procedure can be used to extract the individual components that were combined to form the liquid mixture. When the procedure is applied to extract the components in the mixture, a portion of the volume of the components may be lost.
What number is 1% greater than 7000 ?
What number is 1% greater than 7000 ?
![1 fourth x equals c x plus 2](data:image/png;base64,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)
In the given equation, c is a constant. The equation has no solution. What is the value of c ?
A quadratic equation is ax² + bx + c = 0 with a 0.
Factoring, applying the quadratic formula, and completing the square are the three fundamental approaches to solving quadratic equations.
Factoring
A quadratic equation can be solved, By Factoring
1.) Place the equal sign with zero on the other side and all terms on the other side.
2.) Factor.
3.) Put a zero value for each factor.
4.) Each equation is to be solved.
5.) Check your work by including your solution in the original equation.
![1 fourth x equals c x plus 2](data:image/png;base64,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)
In the given equation, c is a constant. The equation has no solution. What is the value of c ?
A quadratic equation is ax² + bx + c = 0 with a 0.
Factoring, applying the quadratic formula, and completing the square are the three fundamental approaches to solving quadratic equations.
Factoring
A quadratic equation can be solved, By Factoring
1.) Place the equal sign with zero on the other side and all terms on the other side.
2.) Factor.
3.) Put a zero value for each factor.
4.) Each equation is to be solved.
5.) Check your work by including your solution in the original equation.