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jek_recluse [69]
3 years ago
9

WILL MARK BRAINLEIST!!!! HELP ASAP! Divide. Write your answer in simplest form. 6 ÷ 1/8

Mathematics
2 answers:
r-ruslan [8.4K]3 years ago
7 0

Your answer should be 48.

IrinaVladis [17]3 years ago
5 0

Answer:

the answer is 48.

Step-by-step explanation:

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Alan bought 20 yards of fencing. He used 5.9 yards to surround one flower garden and 10.3 yards to surround another garden. Writ
Artist 52 [7]
You would add 10.3 and 5.9 which would equal 16.2, and subtract that from 20 and change that decimal into a fraction, which would be 19/50
4 0
3 years ago
Suppose a batch of metal shafts produced in a manufacturing company have a population standard deviation of 1.3 and a mean diame
lbvjy [14]

Answer:

54.86% probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

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 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 problem, we have that:

\mu = 208, \sigma = 1.3, n = 60, s = \frac{1.3}{\sqrt{60}} = 0.1678

What is the probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

Lesser than 208 - 0.1 = 207.9 or greater than 208 + 0.1 = 208.1. Since the normal distribution is symmetric, these probabilities are equal, so we find one of them and multiply by 2.

Lesser than 207.9.

pvalue of Z when X = 207.9. So

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

By the Central Limit Theorem

Z = \frac{207.9 - 208}{0.1678}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

2*0.2743 = 0.5486

54.86% probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

6 0
3 years ago
Help with this pls!!!!!!!!
sveticcg [70]

Answer:

san po jan

<h3>step_by istep explanation_</h3>

6 0
3 years ago
A box contains 2 plain pencil and 2 pens A box contains 3 color pencils and crayons . One item from each box is chosen random Wh
Alex17521 [72]

make a probability tree it will really help so much

4 0
3 years ago
The average of 4 numbers is 5. What is their sum? explain you answer
maxonik [38]
To find an average you add all numbers together then divide by the amount of numbers that you added. So if there are 4 numbers you would divide by 4. By going backwards you can find the answer. Multiply 5 by 4 and you get 20, which is the answer.
8 0
3 years ago
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