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kompoz [17]
3 years ago
13

Listed below are speeds​ (mi/h) measured from traffic on a busy highway. This simple random sample was obtained at​ 3:30 P.M. on

a weekday. Use the sample data to construct a 98​% confidence interval estimate of the population standard deviation. 65 62 62 55 62 55 60 59 60 70 61 68
The confidence interval estiamte it __mi/h< o <__mi/h
Mathematics
1 answer:
kvasek [131]3 years ago
7 0

Answer:

 3.0 mi/h < σ < 8.54 mi/h

Step-by-step explanation:

Given:

Sample data:  x: 65 62 62 55 62 55 60 59 60 70 61 68

Confidence = c = 98% = 0.98

To find:

Construct a 98​% confidence interval estimate of the population standard deviation.

Solution:

Compute Mean:

number of terms in data set = n = 12

Mean = Sum of all terms / number of terms

          = 65 + 62 + 62 + 55 + 62 + 55 + 60 + 59 + 60 + 70 + 61 + 68 / 12

          = 739/12

Mean  = 61.58

Compute standard deviation:

s = √∑(each term of data set - mean)/ sample size - 1

s = √∑(_{x-} {\frac{}{x} })²/n-1

  = √( 65 - 61.58)² + (62 - 61.58)² + (62 - 61.58)² + (55 - 61.58)² + (62 - 61.58)² + (55 - 61.58)² + (60 - 61.58)² + (59 - 61.58)² + (60 - 61.58)² + (70 - 61.58)² + (61 -61.58)² + (68 - 61.58)² / 12-1

  = √(11.6964 + 0.1764 + 0.1764 + 43.2964 + 0.1764 + 43.2964 + 2.4964 + 6.6564 + 2.4964 + 70.8964 + 0.3364 + 41.2164) / 11

  = √222.9168/11

  = √20.2652

  = 4.50168

  = 4.5017

s =  4.5017

Compute critical value using chi-square table:

For row:

degree of freedom = n-1 = 12 - 1 = 11

For Column:

(1 - c) / 2 = (1 - 0.98) / 2 = 0.02/2 = 0.01

1 - (1 - c) / 2 = 1 - (1-0.98) / 2 = 1 - 0.02 / 2 = 1 - 0.01 = 0.99

X^{2} _{1-\alpha/2} = 3.053

X^{2} _{\alpha/2} = 24.725

Compute 98​% confidence interval of standard deviation:

\sqrt{\frac{n-1}{X^{2} _{\alpha/2}} } s  = \sqrt{\frac{12-1}{24.725} } ( 4.5017) = \sqrt{\frac{11}{24.725} } ( 4.5017) =  \sqrt{0.44489}(4.5017)

             = 0.6670 (4.5017) = 3.0026

\sqrt{\frac{n-1}{X^{2} _{\alpha/2}} } s  =  3.0026

\sqrt{\frac{n-1}{X^{2} _{1-\alpha/2}} } s =  \sqrt{\frac{12-1}{3.053} } ( 4.5017) =  \sqrt{\frac{11}{3.053} } ( 4.5017) =  \sqrt{3.6030} (4.5017)

               =  1.8982 ( 4.5017) = 8.5449

\sqrt{\frac{n-1}{X^{2} _{1-\alpha/2}} } s  = 8.5449

3.0026 mi/h < σ < 8.5449 mi/h

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Hello from MrBillDoesMath!

Answer:

20

Discussion:

Let (x1,y1) = (-8, -6) and (x2,y2) = (4,10). Per the distance formula,

Distance = sqrt (  (x1-x2)^2 + (y1-y2)^2 )  so

Distance = sqrt (  (-8-4)^2 + (-6-10)^2 )

                = sqrt( (12)^2 + (-16)^2 )

                = sqrt( 144     + 256 )

                = sqrt(400)

                = 20

Thank you,

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3 0
3 years ago
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Answer:

B) 0.42

Step-by-step explanation:

population density=number of people/square units

we plug in 2,100 for the first one but we don't know the second one for that we need the area which is A=πr^{2} so the radius is 40 millimeters so 40^{2} =1600 1600*π=5024

2,100/5024=0.417 round it up and it is 0.42

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2 years ago
Given f(x)=-4x-2 solve for x when f(x)=6
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Step-by-step explanation:

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3. Subtract 2 from -24 to get -26

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Suppose the method of tree ring dating gave the following dates A.D. for an archaeological excavation site. Assume that the popu
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Answer:

(1238.845 ;1285.376)

Step-by-step explanation:

Conditions for constructing a confidence interval :

Data must be random

Distribution should be normal and independent ;

Based on the conditions above ; data meets initial conditions ;

C. I = sample mean ± margin of error

Given the data :

1241 1210 1267 1314 1211 1299 1246 1280 1291

Mean, xbar = Σx / n = 11359 / 9 = 1262.11

The standard deviation, s = [√Σ(x - xbar)²/n - 1]

Using a calculator ; s = 37.525

The confidence interval :

C.I = xbar ± [Tcritical * s/√n]

Tcritical(0.10 ; df = n - 1 = 9 - 1 = 8)

Tcritical at 90% = 1.860

C. I = 1262.11 ± [1.860 * 37.525/√9]

C.I = 1262.11 ± 23.266

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± 23.266

The margin of error :

[Tcritical * s/√n]

[1.860 * 37.525/√9]

C.I = ± 23.266

7 0
3 years ago
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