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Goshia [24]
4 years ago
13

Find all exact solutions on [0, 2π).

Mathematics
1 answer:
STatiana [176]4 years ago
8 0

Answer:

\displaystyle t=\frac{\pi}{3},\ t=\frac{5\pi}{3}

Step-by-step explanation:

<u>Trigonometric Equations</u>

The given equation is

2tan^2t=3sect

To solve the equation we must recall that

tan^2t=sec^2t-1

Substituting into the given equation

2(sec^2t-1)=3sect

Operating and rearranging

2sec^2t-3sect-2=0

This is a second-degree equation in terms of sect. Factoring

(sect-2)(2sect+1)=0

This produces two solutions

\displaystyle sect=2,\ sect=-\frac{1}{2}

Recalling

\displaystyle cost=\frac{1}{sect}

The solutions are also expressed as

\displaystyle cost=\frac{1}{2},\ cost=-2

since the magnitude of the cosine cannot be greater than 1, the only acceptable solution is

\displaystyle cost=\frac{1}{2}

Which has two possible angles in the interval [0,2\pi]

\boxed{\displaystyle t=\frac{\pi}{3},\ t=\frac{5\pi}{3}}

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Hatshy [7]

Answer:

We can assume that the statistic is z_{calc}=0.78

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Step-by-step explanation:

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is equal to 3/5 or not.:  

Null hypothesis:p=3/5  

Alternative hypothesis:p \neq 3/5  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

We can assume that the statistic is z_{calc}=0.78

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It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:

p_v = 2* P(z>0.78) = 0.435

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