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docker41 [41]
3 years ago
9

Which mixed number is equivalent to the improper fraction? 35/6

Mathematics
2 answers:
ollegr [7]3 years ago
5 0

Answer:

5 5/6

Step-by-step explanation:

hope it helps

its the answer above

masha68 [24]3 years ago
3 0

Answer:

5 5/6

Step-by-step explanation: umm math

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Pls help giving all my points!! Find the probability of “landing” in the shaded region of the figures below. Round your answer t
34kurt

The probability of landing on the shaded region of the figure is 0.10

<h3>How to find the probability of landing on the shaded region?</h3>

The probability of landing on the shaded region can be calculated as follows;
area of the bigger circle = πr² = 3.14 × 25² = 1962.5 cm²

area of the smaller region = πr² = 3.14 × 8²  = 200.96 cm²

Therefore,

the probability of landing on the shaded region of the figure = 200.96 / 1962.5

the probability of landing on the shaded region of the figure = 0.10

learn more on probability here: brainly.com/question/22200970

#SPJ1

6 0
2 years ago
According to the Bureau of Labor Statistics it takes an average of 16 weeks for young workers to find a new job. Assume that the
Leya [2.2K]

Answer:

1.25% probability that 20 young workers average less than 15 weeks to find a job

Step-by-step explanation:

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

Normal probability distribution:

Problems of normally distributed samples are solved using 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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 16, \sigma = 2, n = 20, s = \frac{2}{\sqrt{20}} = 0.4472

What is the probability that 20 young workers average less than 15 weeks to find a job?

This is the pvalue of Z when X = 15. So

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

By the Central Limit Theorem

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

Z = \frac{15 - 16}{0.4472}

Z = -2.24

Z = -2.24 has a pvalue of 0.0125.

1.25% probability that 20 young workers average less than 15 weeks to find a job

5 0
3 years ago
Ethan decides to type up some documents while waiting for the meeting to start he can type two pages every 1/8 hour if the meeti
Umnica [9.8K]

Answer:

Ethan can type 12 pages before the meeting starts.

Step-by-step explanation:

Given:

Number of pages he can type =2

Number of hours he can type 2 pages = \frac{1}8\ hrs

We need to find number of pages he can type in \frac34\ hrs

Solution:

Now first we will  find number of pages in 1 hour

So we can say;

In \frac{1}8\ hrs  = 2 pages

In 1 hour = number of pages he can type in 1 hour

By Using Unitary method we get;

number of pages he can type in 1 hour = \frac{2}{\frac18} =\frac{2\times8}{1}=16\ pages

Now we can say that;

In 1 hour = 16 pages

So \frac34\ hrs = number of pages he can type in \frac34\ hrs

Again By using Unitary method we get;

number of pages he can type in \frac34\ hrs = 16\times \frac34 = 12\ pages

Hence Ethan can type 12 pages before the meeting starts.

5 0
3 years ago
Someone help me please
garri49 [273]

Answer:

3

Step-by-step explanation:

4 0
3 years ago
Helppppppppppppppppppppppp<br>lots of points
sergey [27]

first number is x , second number is y

 y = x-6

 so answer is B 22-6 = 16

B (22,16)

3 0
3 years ago
Read 2 more answers
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