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3 years ago

The probability that a fair coin tossed 10 times will land heads up on all ten tosses is 1 out of ____.

Mathematics

2 answers:

Nikitich [7]3 years ago

7 0

Answer:

The answer is B

Step-by-step explanation:

kirill115 [55]3 years ago

6 0

Answer:

Step-by-step explanation:

because tossed 10 times so it would be 1 out of 10

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The figures above are similar. The scale factor of quadrilateral EFGH to quadrilateral ABCD is 0.4. Given that BC = 12, find GF.

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What figures is this figure talking about?

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3 years ago

In the upcoming election for governor, the most recent poll, based on 900 respondents, predicts that the incumbent will be reele

lions [1.4K]

<h2>405 people</h2>

Step-by-step explanation:

It is given that there are a total of $900$ people.

It is given that $55$ % of the people will reelect.

So,it can be found that $100-55=45$ % of the people may not reelect or may not make their decision yet.

So,number of people that may not reelect or may not make their decision yet is $\frac{45}{100}\times 900=405$ .

So, $405$ people haven't made their decision yet or not reelect.

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4 years ago

Sue traveled 96 miles in 12 hours. A unit rate to describe Sue's travel is 8 miles per hour. What is another unit rate in this s

Ilya [14]

Answer:

Sue travels 8 miles per hour.

Step-by-step explanation:

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1 year ago

If f(x) = -3x-5 and g(x)=4x-2, find (f-g)(x)

MA_775_DIABLO [31]

f(x) -g(x) = -3x-5 -(4x-2)

distribute

-3x-5 -4x+2

combine like terms

-7x-3

Answer:

-7x-3

6 0

3 years ago

Read 2 more answers

Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. The

Tems11 [23]

Answer:

The 84% confidence interval for the population proportion that claim to always buckle up is (0.74, 0.80).

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

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

In which

z is the z-score that has a p-value of $1 - \frac{\alpha}{2}$ .

They randomly survey 387 drivers and find that 298 claim to always buckle up.

This means that $n = 387, \pi = \frac{298}{387} = 0.77$

84% confidence level

So $\alpha = 0.16$ , z is the value of Z that has a p-value of $1 - \frac{0.16}{2} = 0.92$ , so $Z = 1.405$ .

The lower limit of this interval is:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.77 - 1.405\sqrt{\frac{0.77*0.23}{387}} = 0.74$

The upper limit of this interval is:

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.77 + 1.405\sqrt{\frac{0.77*0.23}{387}} = 0.8$

The 84% confidence interval for the population proportion that claim to always buckle up is (0.74, 0.80).

6 0

3 years ago