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\begin{tabular}{l} Characteristics of Quadratic Equations \\ \hline \( \begin{array}{l}\text { Which of the following statements are true about the horizontal intercepts of a } \\ \text { Quadratic Equation in Standard Form? Check all that apply. }\end{array} \) \\ \hline If a parabola does not cross the \( x \)-axis, then its solutions lie in the complex number \\ system and we say that it has no real x-intercepts \\ If a parabola touches, but does not cross the \( x \)-axis, then its solutions lie in the \\ complex number system and the x-intercept is ( \( x_{1}, 0 \) ) \\ A QUADRATIC EQUATION in STANDARD FORM is an equation of the form \\ \( a x^{2}+b x+c=0 \) \\ A QUADRATIC EQUATION in STANDARD FORM is an equation of the form \\ \( f(x)=a x^{2}+x+c \) \\ There are three possible cases for the number of solutions to a quadratic equation \\ in standard form \\ If the quadratic equation \( a x^{2}+b x+c=0 \) has real number solutions \( x_{1} \) and \( x_{2} \) \\ then the x-intercepts of \( f(x)=a x^{2}+b x+c \) are \( \left(x_{1}, 0\right) \) and ( \( \left.x_{2}, 0\right) \)\end{tabular}

Ask by Osborne Matthews. in the United States
Feb 27,2025

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The true statements are: 1. If a parabola does not cross the x-axis, it has no real x-intercepts. 3. A quadratic equation in standard form is \( ax^{2} + bx + c = 0 \). 5. There are three possible cases for the number of solutions to a quadratic equation. 6. If a quadratic equation has real solutions \( x_{1} \) and \( x_{2} \), the x-intercepts are \( (x_{1}, 0) \) and \( (x_{2}, 0) \).

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The Deep Dive

Ah, quadratic equations—their parabolas swing through our lives with elegance! Did you know that the term "quadratic" comes from the Latin word "quadratus," meaning square? This makes sense, as the highest power of the variable \(x\) is always squared. Depending on the coefficients, the parabolas can face upward or downward, leading to their fascinating behavior with intercepts, where they either kiss or miss the x-axis! In real-world applications, quadratic equations are everywhere! From calculating the trajectory of a basketball to optimizing profits in business, these equations serve as powerful tools. For instance, if you want to find the optimal height from which to drop a ball to maximize its bounce, you’d craft a quadratic model to predict the best outcome—talk about bouncing back with style!

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