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MrRissso [65]
3 years ago
5

ac{(csc x+1)(csc x-1)}{csc^2x}\\" alt="\frac{(csc x+1)(csc x-1)}{csc^2x}\\" align="absmiddle" class="latex-formula">

cscθ·cos^2θ+sinθ= cscθ
Mathematics
1 answer:
tigry1 [53]3 years ago
7 0

Step-by-step explanation:

\frac{( \csc x+1)( \csc  x-1)}{ \csc ^2x} =  \frac{ { \csc }^{2} x - 1}{  \csc^{2} x}  \\ = 1 -   \sin^{2} x =   \cos^{2} x \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:

b. Since csc theta = 1/sin theta, we can multiply both sides by sin theta and you will end up with

\cos^{2} \theta  +  \sin^{2} \theta  = 1

which is an identity.

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Solve the following system : -x + 5y = 8 and 3x + 7y = -2
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-x + 5y = 8

multiply this equation by 3

-3x + 15y = 24

now add it to the other equation  ( elimination)

-3x + 15y = 24

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0x  + 22 y = 22

divide each side by 22

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The 2008 Workplace Productivity Survey, commissioned by LexisNexis and prepared by World One Research, included the question, "H
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Answer:

A 95% confidence interval estimate of the mean number of hours a legal professional works on a typical workday is [7.44 hours, 10.56 hours].

Step-by-step explanation:

We are given that x is normally distributed with a known standard deviation of 12.6.

A sample of 250 legal professionals was surveyed, and the sample's mean response was 9 hours.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                               P.Q.  =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample average mean response = 9 hours

            \sigma  = population standard deviation = 12.6

            n = sample of legal professionals = 250

            \mu = mean number of hours a legal professional works

<em>Here for constructing a 95% confidence interval we have used One-sample z-test statistics as we know about population standard deviation.</em>

<u>So, 95% confidence interval for the population mean, </u>\mu<u> is ;</u>

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level

                                                   of significance are -1.96 & 1.96}  

P(-1.96 < \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < 1.96) = 0.95

P( -1.96 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X-\mu} < -1.96 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.95

P( \bar X-1.96 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+1.96 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.95

<u>95% confidence interval for</u> \mu = [ \bar X-1.96 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+1.96 \times {\frac{\sigma}{\sqrt{n} } } ]

                                       = [ 9-1.96 \times {\frac{12.6}{\sqrt{250} } } , 9+1.96 \times {\frac{12.6}{\sqrt{250} } } ]

                                       = [7.44 hours, 10.56 hours]

Therefore, a 95% confidence interval estimate of the mean number of hours a legal professional works on a typical workday is [7.44 hours, 10.56 hours].

5 0
2 years ago
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