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mars1129 [50]
3 years ago
10

If sin θ = 1/3 and tan θ < 0, what is the value of cos θ?

Mathematics
1 answer:
Mashcka [7]3 years ago
8 0
\bf sin(\theta)=\cfrac{opposite}{hypotenuse}&#10;\qquad&#10;cos(\theta)=\cfrac{adjacent}{hypotenuse}&#10;\quad &#10;% tangent&#10;tan(\theta)=\cfrac{opposite}{adjacent}\\\\&#10;-------------------------------\\\\&#10;sin(\theta )=\cfrac{1}{3}\cfrac{\leftarrow opposite}{\leftarrow hypotenuse}\impliedby &#10;\begin{array}{llll}&#10;\textit{so, let's use the pythagorean}\\&#10;\textit{theorem to get the adjacent}&#10;\end{array}

\bf c^2=a^2+b^2\implies \pm\sqrt{c^2-b^2}=a\qquad &#10;\begin{cases}&#10;c=hypotenuse\\&#10;a=adjacent\\&#10;b=opposite\\&#10;\end{cases}&#10;\\\\\\&#10;\pm\sqrt{3^2-1^2}=a\implies \pm\sqrt{8}=a\implies \pm2\sqrt{2}=a

so hmmm which is it, the +/-?   well, we know that <span>tan(θ) < 0, that means the tangent of the angle is negative, well, the tangent is opposite/adjacent, the only way that fraction can be negative, is that if either, no both, just either opposite or adjacent is negative.

well, we know the opposite is +1, so, the adjacent then has to be negative, so is -2√(2) then

</span>\bf cos(\theta)=\cfrac{adjacent}{hypotenuse}\implies cos(\theta)=\cfrac{-2\sqrt{2}}{3}
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Alternative hypothesis: \mu >0.4

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Step-by-step explanation:

Previous concepts

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The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".  

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".  

Type I error, also known as a “false positive” is the error of rejecting a null  hypothesis when it is actually true. Can be interpreted as the error of no reject an  alternative hypothesis when the results can be  attributed not to the reality.  

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Solution to the problem

For this case we are trying to check the following hypothesis:

Null hypothesis : \mu \leq 0.4

Alternative hypothesis: \mu >0.4

And for this case a type of error I for this case would be reject the null hypothesis that the population mean is lower or equal than 0.4 when actually is true.

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