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sineoko [7]
3 years ago
9

A man who moves to a new city sees that there are two routes he could take to work. A neighbor who has lived there a long time t

ells him Route A will average 5 minutes faster than Route B. The man decides to experiment. Each day he flips a coin to determine which way to go, driving each route 10 days. He finds that Route A takes an average of 48
?minutes, with standard deviation 44 minutes?,
and Route B takes an average of 49 minutes, with standard deviation 1 minute.
Histograms of travel times for the routes are roughly symmetric and show no outliers. Complete parts a and b. Use alpha?equals=0.05
Mathematics
1 answer:
sergiy2304 [10]3 years ago
5 0

Answer:

0.3 to 2.3 min

Step-by-step explanation:

n1=n2=10

x1=48

x2=49

s1=4

s2=1

Determine the deegres of freedom.

\delta=\frac{(\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2})^2}{\frac{(\frac{s_1^2}{n1})^2}{n_1-1}+\frac{(\frac{s_1^2}{n1})^2}{n_2-1}}=10.14

t=2.037 (student's appendix)

E=t\sgrt(\frac{s_1^2}{n_1}+\frac{s^2_2}{n_2})=1.3

(x_1-x_2)-E=(48-49)-1.3=-2.3

(x_1-x_2)+E=(48-49)+1.3=0.3

We are 95% confident that average commuting time for  rute A is between 0.3 and 2.3 min shorter than for rute B.

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3(-0.4n-0.7)=-3.2n-2.58
svlad2 [7]

Answer:

n=-0.24

Step-by-step explanation:

3\left(-0.4n-0.7\right)=-3.2n-2.58

Use distributive property.

-1.2n-2.1=-3.2n-2.58

-1.2n-2.1+2.1=-3.2n-2.58+2.1

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3 0
3 years ago
Evaluate the triple integral ∭EzdV where E is the solid bounded by the cylinder y2+z2=81 and the planes x=0,y=9x and z=0 in the
dem82 [27]

Answer:

I = 91.125

Step-by-step explanation:

Given that:

I = \int \int_E \int zdV where E is bounded by the cylinder y^2 + z^2 = 81 and the planes x = 0 , y = 9x and z = 0 in the first octant.

The initial activity to carry out is to determine the limits of the region

since curve z = 0 and y^2 + z^2 = 81

∴ z^2 = 81 - y^2

z = \sqrt{81 - y^2}

Thus, z lies between 0 to \sqrt{81 - y^2}

GIven curve x = 0 and y = 9x

x =\dfrac{y}{9}

As such,x lies between 0 to \dfrac{y}{9}

Given curve x = 0 , x =\dfrac{y}{9} and z = 0, y^2 + z^2 = 81

y = 0 and

y^2 = 81 \\ \\ y = \sqrt{81}  \\ \\  y = 9

∴ y lies between 0 and 9

Then I = \int^9_{y=0} \int^{\dfrac{y}{9}}_{x=0} \int^{\sqrt{81-y^2}}_{z=0} \ zdzdxdy

I = \int^9_{y=0} \int^{\dfrac{y}{9}}_{x=0} \begin {bmatrix} \dfrac{z^2}{2} \end {bmatrix}    ^ {\sqrt {{81-y^2}}}_{0} \ dxdy

I = \int^9_{y=0} \int^{\dfrac{y}{9}}_{x=0} \begin {bmatrix}  \dfrac{(\sqrt{81 -y^2})^2 }{2}-0  \end {bmatrix}     \ dxdy

I = \int^9_{y=0} \int^{\dfrac{y}{9}}_{x=0} \begin {bmatrix}  \dfrac{{81 -y^2} }{2} \end {bmatrix}     \ dxdy

I = \int^9_{y=0}  \begin {bmatrix}  \dfrac{{81x -xy^2} }{2} \end {bmatrix} ^{\dfrac{y}{9}}_{0}    \ dy

I = \int^9_{y=0}  \begin {bmatrix}  \dfrac{{81(\dfrac{y}{9}) -(\dfrac{y}{9})y^2} }{2}-0 \end {bmatrix}     \ dy

I = \int^9_{y=0}  \begin {bmatrix}  \dfrac{{81 \  y -y^3} }{18} \end {bmatrix}     \ dy

I = \dfrac{1}{18} \int^9_{y=0}  \begin {bmatrix}  {81 \  y -y^3}  \end {bmatrix}     \ dy

I = \dfrac{1}{18}  \begin {bmatrix}  {81 \ \dfrac{y^2}{2} - \dfrac{y^4}{4}}  \end {bmatrix}^9_0

I = \dfrac{1}{18}  \begin {bmatrix}  {40.5 \ (9^2) - \dfrac{9^4}{4}}  \end {bmatrix}

I = \dfrac{1}{18}  \begin {bmatrix}  3280.5 - 1640.25  \end {bmatrix}

I = \dfrac{1}{18}  \begin {bmatrix}  1640.25  \end {bmatrix}

I = 91.125

4 0
3 years ago
Suppose 232subjects are treated with a drug that is used to treat pain and 50of them developed nausea. Use a 0.01significance le
Margarita [4]

Answer:

A

   The  correct option is B

B

   t =  0.6093

C

 p-value  =  0.27116

D

The  correct option is  D

Step-by-step explanation:

From the question we are told that

    The  sample size is  n  =  232

    The  number that developed  nausea  is X =  50

    The population proportion is  p  =  0.20  

 

The  null hypothesis is   H_o : p  =  0.20

The  alternative hypothesis is  H_a :  p > 0.20

Generally the sample proportion is mathematically represented as

     \r p  =  \frac{50}{232}

     \r p  =  0.216

Generally the test statistics is mathematically represented as

 =>           t =  \frac{\r p  -  p }{ \sqrt{ \frac{p(1- p )}{n} } }

=>           t =  \frac{ 0.216 - 0.20 }{ \sqrt{ \frac{ 0.20 (1- 0.20 )}{ 232} } }

=>        t =  0.6093

The  p-value obtained from the z-table is

       p-value  =  P(Z >  0.6093) =  0.27116

  Given that the  p-value >  \alpha  then we fail to reject the null hypothesis

5 0
3 years ago
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