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mezya [45]
2 years ago
13

The solutions to a certain quadratic equation are x = -4 and x = 3. Write the equation in standard form below.

Mathematics
2 answers:
elena-14-01-66 [18.8K]2 years ago
5 0
y=a(x-x_1)(x-x_2)\\\\x_1=-4;\ x_2=3\ therefore\\\\y=a(x+4)(x-3)\\\\y=a(x^2+x-12)\\\\\boxed{y=ax^2+ax-12a}\ where\ a\in\mathbb{R}-\{0\}
Vaselesa [24]2 years ago
5 0

Answer:

y=x²+x-12

Step-by-step explanation:

The quadratic standard form is given by this formula: ax² +bx +c =0.

However all we have is the zeros of this function.

1) So let's start by plugging into x the zeros. We will have two linear functions

y=ax^{2} +bx+c\\\\ y=a(3)^{2} +3b+c\\ y=9a+3b+c \\ y=16a+4b+c

2) Solving the system of linear equations, by the Addition Method:

\left \{{{9a+3b+c=0} \atop {16a-4b+c=0}} \right.\\  \left \{{{9a+3b+c*(-1)=0} \atop {16a-4b+c=0}} \right\\ \left \{{{-9a-3b-c=0} \atop {16a-4b+c=0}} \right. \\ \\ 7a-7b=0\\ a=b\\ \\9+3+c=0\\ c=-12

Therefore a=b and c=-12 and x=-4 and x=3

Since a=b, let's assume a=1 and b=1 and as c=-12 is the product of -4*3 hence we can rewrite this equation grouping it, and then test it:

y=(x+4)(x-3)\\ y=x^{2} -3x+4x-12\\ y=x^{2} +x-12 Standard form

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A random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6. A random sample of 17 su
Sladkaya [172]

Answer:

We conclude that there is no difference in potential mean sales per market in Region 1 and 2.

Step-by-step explanation:

We are given that a random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6.

A random sample of 17 supermarkets from Region 2 had a mean sales of 78.3 with a standard deviation of 8.5.

Let \mu_1 = mean sales per market in Region 1.

\mu_2  = mean sales per market in Region 2.

So, Null Hypothesis, H_0 : \mu_1-\mu_2 = 0      {means that there is no difference in potential mean sales per market in Region 1 and 2}

Alternate Hypothesis, H_A : > \mu_1-\mu_2\neq 0      {means that there is a difference in potential mean sales per market in Region 1 and 2}

The test statistics that will be used here is <u>Two-sample t-test statistics</u> because we don't know about population standard deviations;

                            T.S.  =  \frac{(\bar X_1 -\bar X_2)-(\mu_1-\mu_2)}{s_p \times \sqrt{\frac{1}{n_1}+ {\frac{1}{n_2}}} }   ~  t__n_1_+_n_2_-_2

where, \bar X_1 = sample mean sales in Region 1 = 84

\bar X_2 = sample mean sales in Region 2 = 78.3

s_1  = sample standard deviation of sales in Region 1 = 6.6

s_2  = sample standard deviation of sales in Region 2 = 8.5

n_1 = sample of supermarkets from Region 1 = 12

n_2 = sample of supermarkets from Region 2 = 17

Also, s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times  s_2^{2}  }{n_1+n_2-2} }  = s_p=\sqrt{\frac{(12-1)\times 6.6^{2}+(17-1)\times  8.5^{2}  }{12+17-2} } = 7.782

So, <u><em>the test statistics</em></u> =  \frac{(84-78.3)-(0)}{7.782 \times \sqrt{\frac{1}{12}+ {\frac{1}{17}}} }  ~   t_2_7

                                   =  1.943  

The value of t-test statistics is 1.943.

 

Now, at a 0.02 level of significance, the t table  gives a critical value of -2.472 and 2.473 at 27 degrees of freedom for the two-tailed test.

Since the value of our test statistics lies within the range of critical values of t, so we have<u><em> insufficient evidence to reject our null hypothesis</em></u> as it will not fall in the rejection region.

Therefore, we conclude that there is no difference in potential mean sales per market in Region 1 and 2.

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Answer:

Step-by-step explanation:

Here:

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You are challenged to a lucky draw game. If you draw a face card (K, Q, J) from a standard deck of cards, you earn 10 points. If
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There are 3 face cards for each of the 4 suits, leading to a total possible gain of 120, there are 40 other cards leading to a total possible loss of 80.
120 - 80 = 40.
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Final Answer:
The expected value of a draw is positive 0.77 points.
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