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Mama L [17]
2 years ago
15

A(t)=(t−k)(t−3)(t−6)(t+3)a, left parenthesis, t, right parenthesis, equals, left parenthesis, t, minus, k, right parenthesis, le

ft parenthesis, t, minus, 3, right parenthesis, left parenthesis, t, minus, 6, right parenthesis, left parenthesis, t, plus, 3, right parenthesis is a polynomial function of ttt, where kkk is a constant. given that a(2)=0a(2)=0a, left parenthesis, 2, right parenthesis, equals, 0, what is the absolute value of the product of the zeros of aaa?
Mathematics
2 answers:
Vladimir [108]2 years ago
5 0

Answer:

The absolute value of the product of the zeros of A(t) is 108

Step-by-step explanation:

We are given

A(t)=(t-k)(t-3)(t-6)(t+3)

we have

A(2)=0

we can use it and find k

we can plug t=2 , A(t)=0

0=(2-k)(2-3)(2-6)(2+3)

so, we get

0=(2-k)

k=2

now, we can plug it back

A(t)=(t-2)(t-3)(t-6)(t+3)

now, we can find zeros

A(t)=(t-2)(t-3)(t-6)(t+3)=0

(t-2)=0

t=2

(t-3)=0

t=3

(t-6)=0

t=6

(t+3)=0

t=-3

so, zeros are

t=-3,t=2,t=3,t=6

now, we can find it's product

=-3\times 2\times 3\times 6

=-108

now, we can find it's absolute value

=|-108|

=108

Pie2 years ago
5 0

Answer:

its 11

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

The function takes in an X value and produces a Y value.

The Y value equals 24 times the X value plus 4 more.

This means that:

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Y = 24(4) + 4

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hree TAs are grading a final exam. There are a total of 60 exams to grade. (a) How many ways are there to distribute the exams a
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Answer:

a. 205320

b. 34220

c. 60! / (35)! (25)! + 60!/ (40)!(20)! + 60!/ (45)! (15)!

Step-by-step explanation:

a) The number of ways to dustribute exams among the TA's is:

n / (n - r)!

n= number of things to choose from

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60P3= 60! / (60 - 3)!

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B) The number of ways to dustribute the exams among the TA's is:

n! /(n - r)! r!

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Answer:

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The degrees of freedom are

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And the p value is given by:

p_v =2*P(t_{38}>2.923) =0.0058

Since the p value for this cae is lower than the significance level of 0.05 we have enough evidence to reject the null hypothesis and we can conclude that the true means for this case are significantly different

Step-by-step explanation:

When we have two independent samples from two normal distributions with equal variances we are assuming that  

\sigma^2_1 =\sigma^2_2 =\sigma^2

And the statistic is given by this formula:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

The system of hypothesis on this case are:

Null hypothesis: \mu_1 = \mu_2

Alternative hypothesis: \mu_1 \neq \mu_2

We have the following data given:

n_1 =20 represent the sample size for group 1

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\bar X_1 =43.5 represent the sample mean for the group 1

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s_1=4.1 represent the sample standard deviation for group 1

s_2=3.2 represent the sample standard deviation for group 2

First we can begin finding the pooled variance:

\S^2_p =\frac{(20-1)(4.1)^2 +(20 -1)(3.2)^2}{20 +20 -2}=13.525

And the deviation would be just the square root of the variance:

S_p=3.678

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Since the p value for this cae is lower than the significance level of 0.05 we have enough evidence to reject the null hypothesis and we can conclude that the true means for this case are significantly different

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