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fomenos
3 years ago
13

A presidential candidate plans to begin her campaign by visiting the capitals in 44 of 4747 states. What is the probability that

she selects the route of fourfour specific​ capitals? Is it practical to list all of the different possible routes in order to select the one that is​ best?
Mathematics
2 answers:
butalik [34]3 years ago
6 0

we are given

A presidential candidate plans to begin her campaign by visiting the capitals in 4 of 47 states

so, the number of ways of selecting four specific capitals out of 47 states is

=47C_4

=\frac{47!}{4!(47-4)!}

=178365

now, we can find probability

so, the probability is

=\frac{1}{178365}..............Answer

Hoochie [10]3 years ago
6 0

Answer:

First, we need to find the total number of possible routes they can have. They want four possible routs about 47 states.

C_{47}^{4} =\frac{47!}{(47-4)!} = \frac{47!}{43!}=\frac{47 \times 46 \times 45 \times 44 \times 43!}{43!}=  47 \times 46 \times 45 \times 44=4,280,760

Therefore, there are 4,280,760 ways to select four routes.

The probability of having only one route is

P=\frac{1}{4,280,760} \approx 0

Additionally, it's not practical at all to list all different routes and selec the best one, because there are too many, if they listed all routes, the campaign will be over by then.

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Mrac [35]

Answer:

\frac{\pi}{3} radians

Step-by-step explanation:

Number of hours on a clock = 12

Since, measure of a circle at the center = 360°

Measure of central angle formed by the arc between each number (representing hours) = \frac{360}{12}

                                  = 30°

Central angle formed by the arc intercepted by the hands of the clock at 8:00 = 4 × 30°

        = 120°

Therefore, angle measure in radians = \frac{\pi }{360}\times (120^0)

                                                              = \frac{\pi }{3}

Angle formed by the hands of the clock at 8:00 = \frac{\pi}{3} radians

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2 years ago
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Answer:

y=x

Step-by-step explanation:

y=mx+b

m is the slope

b is the y-intercept

Since the y-intercept is at the 0 axis, the y-intercept will be zero

So now the equation is looks like this:

y=mx (Since y=mx+0 doesn't make a difference)

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Your class is learning to tie knots. Each student needs a piece of rope that is 3/8 yard long. How many yards of rope are needed
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Read 2 more answers
A population of plastic chairs in a factory has a weight's mean of 1.5 kg and a standard deviation of 0.1 kg . Suppose a sample
Firlakuza [10]

Answer:

0.9544 = 95.44% probability that the sample mean will be within +0.02 of the population mean.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 1.5, \sigma = 0.1, n = 100, s = \frac{0.1}{\sqrt{100}} = 0.01

What is the probability that the sample mean will be within +0.02 of the population mean?

Sample mean between 1.5 - 0.02 = 1.48 kg and 1.5 + 0.02 = 1.52 kg, which is the pvalue of Z when X = 1.52 subtracted by the pvalue of Z when X = 1.48. So

X = 1.52

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{1.52 - 1.5}{0.01}

Z = 2

Z = 2 has a pvalue of 0.9772

X = 1.48 ​

Z = \frac{X - \mu}{s}

Z = \frac{1.48 - 1.5}{0.01}

Z = -2

Z = -2 has a pvalue of 0.0228

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability that the sample mean will be within +0.02 of the population mean.

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