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Marysya12 [62]
3 years ago
8

What is the sum of two solutions of the quadratic equation ax^2+bx+c=0

Mathematics
2 answers:
Blababa [14]3 years ago
8 0

if we were to use the quadratic formula, we would get that the roots are

\frac{-b\pm\sqrt{b^2-4ac}}{2a}

or that the 2 seperate roots are

\frac{-b+\sqrt{b^2-4ac}}{2a} and \frac{-b-\sqrt{b^2-4ac}}{2a}

if we sum these, then the \sqrt{b^2-4ac} bits will cancel and we wil be left with

\frac{-b-b}{2a} or \frac{-2b}{2a} or \frac{-b}{a}


the sum of the solutions is \frac{-b}{a}

Verdich [7]3 years ago
5 0

Try this option:

According to the properties of the quadratic equation the sum of its roots is '-b', in other words x₁+x₂= -b

Answer: -b

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Hi there!

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Answer:

(A) \boxed{\bold{y=\frac{3}{7}x+\frac{2}{7}}}

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Explanation:

(A) Slope: y = mx + b

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Slope = \bold{\frac{y_2-y_1}{x_2-x_1}}

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\bold{y=\frac{3}{7}x+b}

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\bold{-1=\frac{3}{7}\left(-3\right)+b}

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Answer:

Case n =5

z=\frac{4.8-5}{\frac{0.5}{\sqrt{5}}}=-0.894  

Case n =15

z=\frac{4.8-5}{\frac{0.5}{\sqrt{15}}}=-1.549  

Case n = 40

z=\frac{4.8-5}{\frac{0.5}{\sqrt{40}}}=-2.530  

P value

Case n =5

p_v =P(z  

Case n =15

p_v =P(z  

Case n =40

p_v =P(z  

Step-by-step explanation:

Data given and notation  

\bar X=4.8 represent the sample mean

\sigma=0.5 represent the population standard deviation

n sample size  

\mu_o =5 represent the value that we want to test  

\alpha represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is lower than 5, the system of hypothesis would be:  

Null hypothesis:\mu \geq 5  

Alternative hypothesis:\mu < 5  

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

We can replace in formula (1) the info given like this:  

Case n =5

z=\frac{4.8-5}{\frac{0.5}{\sqrt{5}}}=-0.894  

Case n =15

z=\frac{4.8-5}{\frac{0.5}{\sqrt{15}}}=-1.549  

Case n = 40

z=\frac{4.8-5}{\frac{0.5}{\sqrt{40}}}=-2.530  

P-value  

Since is a left tailed test the p value would be:  

Case n =5

p_v =P(z  

Case n =15

p_v =P(z  

Case n =40

p_v =P(z  

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