In order to trace this graph without lifting your pen or retracing an edge you COULD begin at vertex

Mathematics

2 answers:

klasskru [66]3 years ago

5 0

B-C-F-E-D-B-A-E

So your answer is B

Snezhnost [94]3 years ago

5 0

The answer is D you would trace D-E-A-B-C-F

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Laura makes 10.5% commission on each of her sales. How much does she make when she sells a house for 85,000

kykrilka [37]

Answer:

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Step-by-step explanation:

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Step-by-step explanation:

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gtnhenbr [62]

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4 years ago

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Lady_Fox [76]

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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 normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$