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pentagon [3]
3 years ago
11

Find the angle between the vectors. (First find an exact expression and then approximate to the nearest degree.) a = 6i − 9j + k

, b = 8i − k
Mathematics
1 answer:
finlep [7]3 years ago
7 0

Answer:

The angle between given vectors is 58 degrees.          

Step-by-step explanation:

We are given the following vectors in the question:

a = 6i- 9j + k\\b = 8i - k

We have to find the angle between the two vectors.

Formula:

\cos \theta = \displaystyle\frac{a.b}{|a||b|}

Evaluating,

a.b\\= ( 6i- 9j + k)(8i - k)\\=6.8 -9.0 +1(-1) = 47\\|a| = \sqrt{6^2 + (-9)^2+1^2} = \sqrt{118}\\|b| = \sqrt{8^2 + (-1)^2} = \sqrt{65}\\\text{Putting values}\\\\\cos \theta = \displaystyle\frac{a.b}{|a||b|}\\\\\cos \theta = \frac{47}{\sqrt{118}\sqrt{65}} = \frac{47}{\sqrt{7670}}\\\\\theta = \arccos \frac{47}{\sqrt{7670}}\\\\\theta = 57.54336^\circ \approx 58\text{ degrees}

The angle between given vectors is 58 degrees.

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Tim claims that a coin is coming up tails less than half of the time. In 110 tosses, the coin comes up tails 47 times. Using P-v
lilavasa [31]

Answer:

z=\frac{0.427 -0.5}{\sqrt{\frac{0.5(1-0.5)}{110}}}=-1.531  

p_v =P(z  

If we compare the p value obtained and using the significance level given \alpha=0.1 we have that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 10% of significance the proportion of tails is significantly less than 0.5.  

Step-by-step explanation:

1) Data given and notation

n=110 represent the random sample taken

X=47 represent the number of tails obtained

\hat p=\frac{47}{110}=0.427 estimated proportion of tails

p_o=0.5 is the value that we want to test

\alpha=0.1 represent the significance level

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z would represent the statistic (variable of interest)

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2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion of tails is lower than 0.5:  

Null hypothesis:p\geq 0.5  

Alternative hypothesis:p < 0.5  

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.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.427 -0.5}{\sqrt{\frac{0.5(1-0.5)}{110}}}=-1.531  

4) Statistical decision  

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=0.1. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

If we compare the p value obtained and using the significance level given \alpha=0.1 we have that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 10% of significance the proportion of tails is significantly less than 0.5.  

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