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2 years ago

Write the ratio 7 : 4 in the form n : 1

Mathematics

1 answer:

mihalych1998 [28]2 years ago

4 0

7÷4 : 4÷4

1.75 : 1

or (off u round off 1.75)

2:1

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guapka [62]

Answer:

I think the isosceles triangle

Step-by-step explanation:

Because it has fewer sides and cannot be put in a "Tile" pattern. Not really sureI hope this helps. :)

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3 years ago

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Sergio [31]

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Step-by-step explanation:

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3 years ago

Algebra 2, please help! thank you

Hunter-Best [27]

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-2pi/3

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3 years ago

Read 2 more answers

Evaluate P(5, 3). 15 20 60

insens350 [35]

Answer:

20.

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3 years ago

There are big spenders among University of Alabama football season ticket holders. This data set Roll Tide!! shows the dollar am

Bas_tet [7]

Using the z-distribution, as we have a proportion, the 95% confidence interval is (0.2316, 0.3112).

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which:

$\pi$ is the sample proportion.

z is the critical value.

n is the sample size.

In this problem, we have a 95% confidence level, hence $\alpha = 0.95$ , z is the value of Z that has a p-value of $\frac{1+0.95}{2} = 0.975$ , so the critical value is z = 1.96.

We also consider that 130 out of the 479 season ticket holders spent $1000 or more at the previous two home football games, hence:

$n = 479, \pi = \frac{130}{479} = 0.2714$

Hence the bounds of the interval are found as follows:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 - 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.2316$

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 + 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.3112$

The 95% confidence interval is (0.2316, 0.3112).

More can be learned about the z-distribution at brainly.com/question/25890103

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2 years ago