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sveticcg [70]
4 years ago
5

Pat needs to determine the height of a tree before cutting it down to be sure that it will not fall on a nearby fence. the angle

of elevation of the tree from one position on a flat path from the tree is upper h equals 30 degrees commah=30°, and from a second position upper l equals 50 feetl=50 feet farther along this path it is upper b equals 20 degrees .b=20°. what is the height of the​ tree?

Mathematics
1 answer:
Alekssandra [29.7K]4 years ago
8 0

Please find the attached diagram for a better understanding of the solution provided here.

In the attached diagram, OP is the height of the tree.

Rest of the diagram should be sufficiently self explanatory.

In \Delta OPH,

tan(30^0)=\frac{OP}{x}

\therefore \frac{OP}{tan(30^0)}=x.........................Equation #1

Again, in \Delta OPL,

tan(20^0)=\frac{OP}{PH+HL}=\frac{OP}{x+50}

\therefore \frac{OP}{tan(20^0)}-50=x .........................Equation #2

Thus, equating the equations Equation #1 and Equation #2, we have:

\frac{OP}{tan(30^0)}=\frac{OP}{tan(20^0)}-50

Evaluating we get:

1.732(OP)=2.747(OP)-50

1.015(OP)=50

\therefore OP=\frac{50}{1.015}\approx49.26 ft

Thus the height of the tree is approximately 49.26 feet

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3 years ago
An article reported on the results of an experiment in which half of the individuals in a group of 60 postmenopausal overweight
slavikrds [6]

Answer:

Step-by-step explanation:

From the given information:

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Null hypothesis:

\mathbf{H_o: \mu_1-\mu_2=1}

Alternative hypothesis:

H_a :\mu_1 -\mu_2 > 1

The number of samples is half in a group of 60

i.e

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the sample mean for sample 1 \overline x_1 = 5.7

the standard deviation for sample 1 s_1 = 3.1

the sample mean for sample 2 \overline x_2 = 3.9

the standard  deviation for sample 2 s_2 = 2.7

degree of freedom  for this test can be computed by using the formula:

df = \dfrac{\begin {pmatrix} \dfrac{s_1^2}{n_1} + \dfrac{s^2_2}{n_2}   \end {pmatrix}^2  }  {\dfrac{ (\dfrac{s_1^2}{n_1}^2)}{ n_1-1}  + \dfrac{ (\dfrac{s_2^2}{n_2}^2)}{ n_2-1}  }

df = \dfrac{\begin {pmatrix} \dfrac{3.1^2}{30} + \dfrac{2.7^2}{30}   \end {pmatrix}^2  }  {\dfrac{ \begin {pmatrix} \dfrac{3.1^2}{30} \end {pmatrix}^2}{ 30-1}  + \dfrac{ \begin {pmatrix} \dfrac{2.7^2}{30} \end {pmatrix}^2}{ 30-1}  }}

df = 114.68

The test statistics can be computed as follows:

t = \dfrac{ \overline x_1 -\overline x_2- (\mu_1 -\mu_2)}{\sqrt{ \dfrac{s_1^2}{n_1} +\dfrac{s_2^2}{n_2} }}

t = \dfrac{ 5.7-3.9- (1)}{\sqrt{ \dfrac{3.1^2}{30} +\dfrac{2.7^2}{30} }}

t = 1.07

Using the level of significance of 0.1, the P-value for the test statistics at the df of 114.68 is:

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Decision rule: To reject the null hypothesis if the level of significance is greater than the p-value.

Conclusion: We fail to reject the null hypothesis because the p-value is greater than the level of significance at 0.1.

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4 years ago
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0.75x-18.50=0.65x

0.75x-0.65x=18.50
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so Diana had 185 grams of chocolate.



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