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Trava [24]
3 years ago
9

What is the equation of the axis of symmetry of the graph of y + 3x – 6 = –3(x – 2)2 + 4?

Mathematics
2 answers:
asambeis [7]3 years ago
7 0

ANSWER

x =\frac{3}{ 2}

EXPLANATION

The given equation is

y + 3x - 6 =  - 3(x - 2)^{2}  + 4

Expand the parenthesis:

y  + 3x - 6 =  - 3( {x}^{2}  - 4x + 4) + 4

y  + 3x - 6 =  - 3 {x}^{2}   + 12x +  - 12 + 4

Write in standard form:

y =  - 3 {x}^{2}   + 12x  - 3x+  - 12 + 4 + 6

y =  - 3 {x}^{2}   + 9x-2

where

a=-3,b=9,c=-2

The axis of symmetry is given by the formula:

x =  -  \frac{b}{2a}

Plug the values to get:

x =  -  \frac{9}{ 2(- 3)}

x =\frac{3}{ 2}

The equation of axis of symmetry is

x =\frac{3}{ 2}

liraira [26]3 years ago
7 0

Answer:

the answer is A on edgen

Step-by-step explanation:

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Answer:

1. Yes, there is sufficient evidence to support the claim that student cars are older than faculty cars.

2. The 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

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We are given that randomly selected 110 student cars to have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly selected 75 faculty cars to have ages with a mean of 5.3 years and a standard deviation of 3.7 years.

Let \mu_1 = <em>mean age of student cars.</em>

\mu_2   = <em>mean age of faculty cars.</em>

So, Null Hypothesis, H_0 : \mu_1 \leq \mu_2      {means that the student cars are younger than or equal to faculty cars}

Alternate Hypothesis, H_A : \mu_1>\mu_2      {means that the student cars are older than faculty cars}

(1) The test statistics that will be used here is <u>Two-sample t-test statistics</u> because we don't know about the 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 age of student cars = 8 years

\bar X_2 = sample mean age of faculty cars = 5.3 years

s_1 = sample standard deviation of student cars = 3.6 years

s_2 = sample standard deviation of student cars = 3.7 years

n_1 = sample of student cars = 110

n_2 = sample of faculty cars = 75

Also, s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }  = \sqrt{\frac{(110-1)\times 3.6^{2}+(75-1)\times 3.7^{2} }{110+75-2} }  = 3.641

So, <u><em>the test statistics</em></u> =  \frac{(8-5.3)-(0)} {3.641 \times \sqrt{\frac{1}{110}+\frac{1}{75} } }  ~ t_1_8_3

                                     =  4.952    

The value of t-test statistics is 4.952.

Since the value of our test statistics is more than the critical value of t, so <u><em>we have sufficient evidence to reject our null hypothesis</em></u> as it will fall in the rejection region.

Therefore, we support the claim that student cars are older than faculty cars.

(2) The 98% confidence interval for the difference between the two population means (\mu_1-\mu_2) is given by;

98% C.I. for (\mu_1-\mu_2) = (\bar X_1-\bar X_2) \pm (t_(_\frac{\alpha}{2}_) \times s_p \times  \sqrt{\frac{1}{n_1}+\frac{1}{n_2} })

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Here, the critical value of t at a 1% level of significance is 2.326.

Hence, the 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

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