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Nookie1986 [14]
3 years ago
15

Does 5 mm , 12 mm , and 17 mm form a right triangle

Mathematics
1 answer:
Vlad [161]3 years ago
5 0

Answer:

The measurements do not form right angled triangle.

Step-by-step explanation:

Given lengths are 5 mm, 12 mm and 17mm

The longer leg forms the hypotenuse of the right angled triangle.

Using Pythagorean theorem;

a^2+b^2=c^2\\(5)^2+(12)^2=(17)^2\\25+144=289\\169\neq 289

Therefore,

The measurements do not form right angled triangle.

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If a work group consistently achieves 80 % of its quarterly goals and the work group generally has 25 objectives per quarter how
storchak [24]
What this question is asking you to find 80% of 25. 10% of 25 is 2.5 because there is always a decimal point directly to the right of the ones place. (25.0)
You would move the decimal point over one place to find 10% of a given number. How I would approach this is to multiply 2.5 by 8 to find 80% of 25

2.5 x 8 = 20

80% of 25 = 20

You can expect the work group to get done 20 out of 25 of their objectives per quarter











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Answer:

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

And the confidence interval is given by:

(0.123, 0.177)

And for this case the interval contains the value 0.16, so then we can conclude at 5% of significance that the true proportion is not different from 0.16

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by \alpha=1-0.95=0.05 and \alpha/2 =0.025. And the critical value would be given by:

z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

And the confidence interval is given by:

(0.123, 0.177)

And for this case the interval contains the value 0.16, so then we can conclude at 5% of significance that the true proportion is not different from 0.16

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Step-by-step explanation:

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