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Naddika [18.5K]
2 years ago
10

Finn is swimming at a constant speed.

Mathematics
1 answer:
Reil [10]2 years ago
6 0

Answer:

31.25 seconds

Step-by-step explanation:

Examine division

11.6 + 24.4 = 36 m < 50m

and 36 + 37.2 - 73.2m > 50m

50 - 36 = 14m

14 * 23.25/37.2 = 8.75 seconds

7.25 + 15.25 + 8.75 = 31.25 seconds

so it would take him 31.25 seconds to swim 50 meters.

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sin\alpha  = - 0.8

<u>Step-by-step explanation:</u>

We have , cos\alpha  = \frac{3}{5} , where \alpha is located in IV quadrant! Let's find out value of sin\alpha :

sin\alpha  = \sqrt{1-(cos\alpha )^2

⇒ sin\alpha  = \sqrt{1-(cos\alpha )^2

⇒ sin\alpha  = \sqrt{1-(\frac{3}{5} )^2

⇒ sin\alpha  = \sqrt{1-(\frac{9}{25} )

⇒ sin\alpha  = \sqrt{(\frac{25-9}{25} )

⇒ sin\alpha  = \sqrt{(\frac{16}{25} )

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Value of sin\alpha is dependent on which quadrant it is . Since, in question it's given that \alpha is located in IV quadrant , So sin\alpha is negative i.e.

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⇒ sin\alpha  = - 0.8

Therefore, sin\alpha  = - 0.8 .

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The volume of a cube is 2197mm (cubed) what is the length of its side
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An employee worked 36 hours last week. This week, she worked 15% less hours. How many hours did she work this week?
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Faced with rising fax costs, a firm issued a guideline that transmissions of 10 pages or more should be sent by 2-day mail inste
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Answer:

The value of t test statistics is 5.9028.

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Step-by-step explanation:

We are given that a firm issued a guideline that transmissions of 10 pages or more should be sent by 2-day mail instead.

The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.

<em />

<em>Let </em>\mu<em> = true mean transmission of pages.</em>

So, Null Hypothesis, H_0 : \mu \leq 10 pages     {means that the true mean is smaller than or equal to 10}

Alternate Hypothesis, H_A : \mu > 10 pages     {means that the true mean is greater than 10}

The test statistics that would be used here <u>One-sample t test statistics</u> as we don't know about the population standard deviation;

                        T.S. =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

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So, <u><em>test statistics</em></u>  =  \frac{14.44-10}{\frac{4.45}{\sqrt{35} } }  ~ t_3_4  

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Therefore, we conclude that the true mean is greater than 10.

(b) Now, P-value of the test statistics is given by the following formula;

               P-value = P( t_3_4 > 5.9028) = Less than 0.05%    {using t table)

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