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3 years ago

Find the missing dimension. Use the scale factor 1: 8. Set up a proportion

1 answer:

6 0

1:8, so for every cm drawn, it is 8 cm in real life.
because the model length is 6cm, you multiply 8 by 6:
8*6 = 48
So the actual length is 48 cm

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kassim has amoney box containing 100 mixed sh 5 and sh 10 coins with a totalvalue of sh 600. How many of each type of coin does

lukranit [14]

Answer:

sh 5 coins=80

sh 10 coins=20

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3 years ago

Solve 4x - 8 < 44. Enter your answer as an inequality.

Ilya [14]

Answer:

x < 13

Step-by-step explanation:

We have an inequality and are asked to solve for x.

Inequality work the same as expressions when it comes to solving for x, the only difference is that when you divide by a negative, the inequality sign changes. Which is not a problem.

4x - 8 < 44

Add 8 to both sides :

4x < 52

Divide 4 from both sides :

x < 13

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3 years ago

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Anon25 [30]

Use the quadratic formula, the second, the 6th answers are correct.

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4 years ago

The probability that Paul wins in a raffle is given by the expression

AnnZ [28]

Answer:

$1 - p$

Step-by-step explanation:

Consider the $(\Omega, \mathcal{F}, \mathbb{P})$ where $\mathcal{F}$ is sigma algebra and $\mathbb{P}$ is probabilistic measure. Denote $A \subset \Omega$ where Paul wins. By additivity of measure we know that

$\mathbb{P}(A) + \mathbb{P}(\Omega \setminus A) = \mathbb{P}(\Omega) = 1$ .

$\mathbb{P}(\Omega \setminus A) = 1 - \mathbb{P}(A) = 1 - p$ .

But $\Omega \setminus A$ is exactly the set where Paul does not win. Q.E.D.

4 0

3 years ago

The time a randomly selected individual waits for an elevator in an office building has a uniform distribution with a mean of 0.

Amiraneli [1.4K]

Answer:

The mean of the sampling distribution of means for SRS of size 50 is $\mu = 0.5$ and the standard deviation is $s = 0.0409$

By the Central Limit Theorem, since we have of sample of 50, which is larger than 30, it does not matter that the underlying population distribution is not normal.

0% probability a sample of 50 people will wait longer than 45 seconds for an elevator.

Step-by-step explanation:

To solve this problem, 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 $\sigma$ , a large sample size, 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:

$\mu = 0.5, \sigma = 0.289$

What are the mean and standard deviation of the sampling distribution of means for SRS of size 50?

By the Central Limit Theorem

$\mu = 0.5, s = \frac{0.289}{\sqrt{50}} = 0.0409$

The mean of the sampling distribution of means for SRS of size 50 is $\mu = 0.5$ and the standard deviation is $s = 0.0409$

Does it matter that the underlying population distribution is not normal?

By the Central Limit Theorem, since we have of sample of 50, which is larger than 30, it does not matter that the underlying population distribution is not normal.

What is the probability a sample of 50 people will wait longer than 45 seconds for an elevator?

We have to use 45 seconds as minutes, since the mean and the standard deviation are in minutes.

Each minute has 60 seconds.

So 45 seconds is 45/60 = 0.75 min.

This probability is 1 subtracted by the pvalue of Z when X = 0.75. So

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

By the Central Limit Theorem

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

$Z = \frac{0.75 - 0.5}{0.0409}$

$Z = 6.11$

$Z = 6.11$ has a pvalue of 1

1-1 = 0

0% probability a sample of 50 people will wait longer than 45 seconds for an elevator.

8 0

3 years ago