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anygoal [31]
3 years ago
11

How do you write cos, tan, and sec in terms of csc?

Mathematics
2 answers:
Katyanochek1 [597]3 years ago
8 0
\bf \textit{Pythagorean Identities}
\\ \quad \\
sin^2(\theta)+cos^2(\theta)=1
\\ \quad \\
1+cot^2(\theta)=csc^2(\theta)
\\ \quad \\
1+tan^2(\theta)=sec^2(\theta)\\\\
-----------------------------\\\\
csc(\theta)=\cfrac{1}{sin(\theta)}\qquad \qquad sec(\theta)=\cfrac{1}{cos(\theta)}

so hmm  let us use those ones

then

\bf sin^2(\theta)+cos^2(\theta)=1\implies cos^2(\theta)=1-sin^2(\theta)
\\\\\\
cos(\theta)=\sqrt{1-sin^2(\theta)}\implies cos(\theta)=\sqrt{1-\frac{1}{csc^2(\theta)}}
\\\\\\
cos(\theta)=\sqrt{\cfrac{csc^2(\theta)-1}{csc^2(\theta)}}\\\\
-----------------------------\\\\

\bf 1+cot^2(\theta)=csc^2(\theta)\implies 1+\cfrac{1}{tan^2(\theta)}=csc^2(\theta)
\\\\\\
\cfrac{1}{tan^2(\theta)}=csc^2(\theta)-1\implies \cfrac{1}{csc^2(\theta)-1}=tan^2(\theta)
\\\\\\
\sqrt{\cfrac{1}{csc^2(\theta)-1}}=tan(\theta)\\\\
-----------------------------\\\\
sec(\theta)=\cfrac{1}{cos(\theta)}\implies sec(\theta)=\cfrac{1}{\sqrt{\frac{csc^2(\theta)-1}{csc^2(\theta)}}}
\\\\\\
sec(\theta)=\sqrt{\cfrac{csc^2(\theta)}{csc^2(\theta)-1}}
olga nikolaevna [1]3 years ago
4 0
Prolly not the best person to answer this question lol
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8.88 = 4.44x - 31.08
+31.08 +31.08
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4 0
3 years ago
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The figures below are rectangles. Which polynomial represents the area of the shaded region? HAVE ALL MY POINTS but answer truth
Aleks04 [339]

Answer:

7x - 1

Step-by-step explanation:

Area of the shaded region = area of the large rectangular - area of the small rectangle

Area of rectangle is given as l*w

Area of the large rectangle = l*w = (x + 5)(x - 1)

Expand

= x(x - 1) +5(x - 1)

= x^2 - x + 5x - 5

Area of large rectangle = x^2 + 4x - 5

Area of small rectangle = l*w = (x + 1)(x - 4)

= x(x - 4) +1(x - 4)

=  x^2 - 4x + x - 4

Area of small rectangle = =  x^2 - 3x - 4

Area of shaded region = (x^2 + 4x - 5) - (x^2 - 3x - 4)

= x^2 + 4x - 5 - x^2 + 3x + 4

Collect like terms

= x^2 - x^2 + 4x + 3x - 5 + 4

= 7x - 1

6 0
3 years ago
An hour before show​ time, only 266 people are seated for a movie. . According to ticket​ sales, 93​% of the people have yet to
Mandarinka [93]

Answer:

3800 tickets

Step-by-step explanation:

we are given that,

total people seated:266

yet to come:93%

so the percentage of people who have arrived is 100%-93%=7%

and one ticket for each people

therefore,

\displaystyle \begin{array}{ccc} \displaystyle \rm7\%   \quad \text{People} \implies266 \:  \text{tickets} \\  \displaystyle100 \%\:   \quad \imath \imath \implies   \frac{266}{7\%}   \:  \:  \:  \: \imath  \imath \\ \\   \qquad  \displaystyle    \qquad\rm as  \: \% =    \frac{1}{100} \longleftarrow \frac{266}{ \dfrac{7}{100} }     \\   \\  \displaystyle   \rm  \: by \: simplifying \: complex \: fraction\longleftarrow 266  \times  \frac{100}{7}   \\  \rm reduce \: fraction \longleftarrow 38 \times 100  \\  \rm simplify \:multiplication  \longleftarrow3800\end{array}

hence,

<u>3</u><u>8</u><u>0</u><u>0</u> tickets were sold for the movie

4 0
3 years ago
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The diagram shows a 5 cm x 5 cm x 5 cm cube.
Neporo4naja [7]

Answer:

8.7

Step-by-step explanation:

5 0
3 years ago
11. A sample of n = 25 scores has a mean of M = 68. Find the z-score for this sample: a. If it was obtained from a population wi
storchak [24]

Answer:

a) z-score = 4

b) z-score = 2

c) z-score = 1

Step-by-step explanation:

* Lets revise some definition to solve the problem

- The mean of the distribution of sample means is called M

- The standard deviation of the distribution of sample means is

  called σM (standard error)

- σM = σ/√n , where σ is the standard deviation and n is the sample size

- z-score = (M - μ)/σM, where μ is the mean of the population

* Lets solve the problem

∵ The sample size n = 25

∵ The sample mean M = 68

a)

∵ The mean of population μ = 60

∵ The standard deviation σ = 10

- Lets find σM to find z-score

∵ σM = σ/√n

∴ σM = 10/√25 = 10/5 = 2

- Lets find z-score

∵ z-score = (M - μ)/σM

∴ z-score = (68 - 60)/2 = 8/2 = 4

* z-score = 4

b)

∵ The mean of population μ = 60

∵ The standard deviation σ = 20

- Lets find σM to find z-score

∵ σM = σ/√n

∴ σM = 20/√25 = 20/5 = 4

- Lets find z-score

∵ z-score = (M - μ)/σM

∴ z-score = (68 - 60)/4 = 8/4 = 2

* z-score = 2

c)

∵ The mean of population μ = 60

∵ The standard deviation σ = 40

- Lets find σM to find z-score

∵ σM = σ/√n

∴ σM = 40/√25 = 40/5 = 8

- Lets find z-score

∵ z-score = (M - μ)/σM

∴ z-score = (68 - 60)/8 = 8/8 = 1

* z-score = 1

3 0
3 years ago
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