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Karolina [17]
3 years ago
12

I’ll give 20 points for the ans and equation.

Mathematics
1 answer:
Hunter-Best [27]3 years ago
5 0

Answer: I believe it would be 1.25, because 1.42 times 55000 is 78100, and 1.25 times 64000 is 80000, and 80000 is greater than 78100.

(not completely sure though, I'm not the brightest)

Step-by-step explanation:

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Answer:

180

Step-by-step explanation:

90 + 4x + 7x - 20 equals to 180

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Money Spent on Road Repair A politician wishes to compare the variances of the amount of money spent for road repair in two diff
Mkey [24]

Answer:

(A) Null Hypothesis, H_0 : \sigma_1^{2} =\sigma_2^{2}      {means that there is no significant difference in the variances of the amounts spent in the two counties}

Alternate Hypothesis, H_A : \sigma_1^{2} \neq \sigma_2^{2}      {means that there is a significant difference in the variances of the amounts spent in the two counties}

(B) The F-table gives critical values of 0.359 and 2.781 for (14,17) degrees of freedom for the two-tailed test.

(C) The value of the F-test statistic is 0.611.

(D) We conclude that there is no significant difference in the variances of the amounts spent in the two counties.

Step-by-step explanation:

We are given that a politician wishes to compare the variances of the amount of money spent on road repair in two different counties.

The data are given here below;

County A              County B

s1 = $11,596         s2 = $14,837

n1 = 15                     n2 = 18

Let \sigma_1^{2} = variances of the amounts spent in County A.

\sigma_2^{2} = variances of the amounts spent in County B.

(A) So, Null Hypothesis, H_0 : \sigma_1^{2} =\sigma_2^{2}      {means that there is no significant difference in the variances of the amounts spent in the two counties}

Alternate Hypothesis, H_A : \sigma_1^{2} \neq \sigma_2^{2}      {means that there is a significant difference in the variances of the amounts spent in the two counties}

The test statistics that would be used here <u>Two-sample F-test statistics </u>distribution;

                             T.S. =  \frac{s_1^{2} }{s_2^{2} } \times \frac{\sigma_2^{2} }{\sigma_1^{2} }  ~ F__n_1_-_1,_ n_2_-_1

where, s_1 = sample standard deviation for County A = $11,596

s_2 = sample standard deviation for County B = $14,837

n_1 = sample size for County A = 15

n_2 =  sample size for County B = 18

(B) Now at 0.05 level of significance, the F-table gives critical values of 0.359 and 2.781 for (14,17) degrees of freedom for the two-tailed test.

(C) So, <u><em>the test statistics</em></u>  =  \frac{11,596^{2}  }{14,837^{2} } \times 1  ~  F__1_4,_ 1_7

                                     =  0.611

The value of the F-test statistic is 0.611.

Now, as we can see that our test statistics lie within the range of critical values of F, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.

(D) Therefore, we conclude that there is no significant difference in the variances of the amounts spent in the two counties.

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Use the correct order of operations to solve the problem below
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Answer:

Step-by-step explanation:

The order of operations can be remembered with PEMDAS:

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Exponents

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Example:

12^2-23+(9*3)

simplify Parentheses:

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simplify Exponents:

144-23+27

simplify Addition and Subtraction left to right:

121+27\\148

Finito.

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Answer:

Un ejemplo de una recta numérica es lo que un estudiante de matemáticas puede usar para encontrar la respuesta a las preguntas de suma y resta. Una línea recta, teóricamente que se extiende hasta el infinito en direcciones tanto positivas como negativas desde cero, que muestra el orden relativo de los números reales.

explanation:

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