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Snowcat [4.5K]
3 years ago
15

Cot(x)sec^4(x)=cot(x)+2tan(x)+tan^3(x) prove the trig identity

Mathematics
1 answer:
adelina 88 [10]3 years ago
7 0

Working with the right side:

cot(<em>x</em>) + 2 tan(<em>x</em>) + tan³(<em>x</em>) = cos(<em>x</em>)/sin(<em>x</em>) + 2 sin(<em>x</em>)/cos(<em>x</em>) + sin³(<em>x</em>)/cos³(<em>x</em>)

… = (cos⁴(<em>x</em>) + 2 sin²(<em>x</em>) cos²(<em>x</em>) + sin⁴(<em>x</em>)) / (sin(<em>x</em>) cos³(<em>x</em>))

Factorize the numerator as a sum of squares:

<em>a</em>⁴ + 2 <em>a</em>² <em>b</em>² + <em>b</em>⁴ = (<em>a</em>² + <em>b</em>²)²

… = (cos²(<em>x</em>) + sin²(<em>x</em>))² / (sin(<em>x</em>) cos³(<em>x</em>))

Recall that

cos²(<em>x</em>) + sin²(<em>x</em>) = 1

… = 1 / (sin(<em>x</em>) cos³(<em>x</em>))

… = 1 / (sin(<em>x</em>) cos³(<em>x</em>)) • cos(<em>x</em>)/cos(<em>x</em>)

… = cos(<em>x</em>) / (sin(<em>x</em>) cos⁴(<em>x</em>))

… = cot(<em>x</em>) sec⁴(<em>x</em>)

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Answer:

23

Step-by-step explanation:

100 is the exterior angle.

( 2x + 3 ) and 51 are interior angles.

Formula : -

Exterior angles = Sum of two interior angles.

100 = 2x + 3 + 51

100 = 2x + 54

2x = 100 - 54

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x = 46 / 2

x = 23

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A distance AB is observed repeatedly using the same equipment and procedures, and the results, in meters, are listed below: 67.4
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Answer:

a) \bar X =\frac{67.401+67.400+67.402+67.396+67.406+67.401+67.396+67.401+67.405+67.404}{10}=67.401

b) The sample deviation is calculated from the following formula:

s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And for this case after replace the values and with the sample mean already calculated we got:

s=0.0036

If we assume that the data represent a population then the standard deviation would be given by:

\sigma=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n}}

And then the deviation would be:

\sigma =0.00319

Step-by-step explanation:

For this case we have the following dataset:

67.401, 67.400, 67.402, 67.396, 67.406, 67.401, 67.396, 67.401, 67.405, and 67.404

Part a: Determine the most probable value.

For this case the most probably value would be the sample mean given by this formula:

\bar X =\frac{\sum_{i=1}^n X_i}{n}

And if we replace we got:

\bar X =\frac{67.401+67.400+67.402+67.396+67.406+67.401+67.396+67.401+67.405+67.404}{10}=67.401

Part b: Determine the standard deviation

The sample deviation is calculated from the following formula:

s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And for this case after replace the values and with the sample mean already calculated we got:

s=0.0036

If we assume that the data represent a population then the standard deviation would be given by:

\sigma=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n}}

And then the deviation would be:

\sigma =0.00319

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4 years ago
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