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sergeinik [125]
3 years ago
10

Ships a and b or 1425 feet apart and detect a submarine below them

Mathematics
1 answer:
Verizon [17]3 years ago
7 0

Answer:

AX = 1084.20

BX = 1270.69

Step-by-step explanation:

See attachment for complete question

Let the position of the submarine be represented with X

Given

AB = 1425

\angle A = 59^{\circ}

\angle B = 47^{\circ}

First, we calculate angle at X.

\angle X + \angle A + \angle B = 180

\angle X + 59^{\circ} + 47^{\circ}= 180^{\circ}

\angle X = 180^{\circ} -59^{\circ} - 47^{\circ}

\angle X = 74^{\circ}

Solving (a): Distance AX: The distance between ship A and the submarine

To do this, we apply sine formula which states

\frac{a}{sin\ A} = \frac{b}{sin\ B} = \frac{c}{sin\ C}

In this case:

\frac{AB}{sin\ X} = \frac{AX}{sin\ B}

Substitute values for AB, \angle X and \angle B

\frac{1425}{sin(74^{\circ})} = \frac{AX}{sin(47^{\circ})}

Make AX the subject

AX = \frac{1425}{sin(74^{\circ})} * sin(47^{\circ})

AX = \frac{1425}{0.9613} * 0.7314

AX = \frac{1425 * 0.7314}{0.9613}

AX = \frac{1042.245}{0.9613}

AX = 1084.20

Solving (b): Distance BX: The distance between ship B and the submarine

To do this, we apply sine formula which states

In this case:

\frac{AB}{sin\ X} = \frac{BX}{sin\ A}

Substitute values for AB, \angle X and \angle A

\frac{1425}{sin(74^{\circ})} = \frac{BX}{sin(59^{\circ})}

Make BX the subject

BX = \frac{1425}{sin(74^{\circ})} * sin(59^{\circ})

BX = \frac{1425}{0.9613} * 0.8572

BX = \frac{1425* 0.8572}{0.9613}

BX = \frac{1221.51}{0.9613}

BX = 1270.69

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Answer:

a

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

The null hypothesis is rejected

b

The  99% confidence level is   13.3930  < \mu  < 13.3994

Step-by-step explanation:

From the question we are told that

  The sample size is  n =  10

   The  population mean is  \mu =  13.4 000 \  angstroms

   The level of significance is  \alpha =  0.05

   The  sample data is  

13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, and 13.4002

Generally the sample mean is mathematically represented as

        \= x =  \frac{13.3987+ 13.3957\cdots +13.4002 }{10}

=>     \= x = 13.3962

Generally the sample standard deviation  is mathematically represented as

    \sigma = \sqrt{\frac{\sum (x_i - \= x)^2}{n} }

=> \sigma = \sqrt{\frac{ (13.3987 - 13.3962)^2 +  (13.3987 - 13.3962)^2 + \cdots + (13.3987 -13.4002)^2  }{10} }

=>  \sigma =0.0039

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

Generally the test statistics is mathematically represented as

      z  =  \frac{\= x - \mu}{\frac{\sigma}{\sqrt{n} } }

=>    z  =  \frac{13.3962 -  13.4000}{\frac{0.0039}{\sqrt{10} } }

=>   z =  3.08

Generally the p-value is mathematically represented as

       p-value  = 2P( z   >  3.08)

From the z-table  P(z >  3.08)= 0.001035

So

       p-value  = 2* 0.001035

      p-value  = 0.00207

So from the obtained value we see that

     p-value  < \alpha

Hence the null hypothesis is rejected

Consider the b question

Given that the confidence level is  99%  then the level of significance is

    \alpha =  (100 -99)\%

=> \alpha =  0.01

Generally from the normal distribution table critical value  of  \frac{\alpha }{2} is  

    Z_{\frac{\alpha }{2} } =  2.58

Generally the margin of error is mathematically represented as  

     E =  Z_{\frac{\alpha }{2} } *  \frac{\sigma}{\sqrt{n} }

=>   E = 2.58  *  \frac{0.0039}{\sqrt{10} }

=>    E = 0.00318

Generally the 99% confidence interval is mathematically represented as

     13.3962   - 0.00318  < \mu  < 13.3962   +  0.00318

=>   13.3930  < \mu  < 13.3994

 

7 0
3 years ago
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