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musickatia [10]
1 year ago
6

Two children are sharing 1/2 of a sandwich. how much will each child get

Mathematics
1 answer:
11Alexandr11 [23.1K]1 year ago
6 0

Each child will get 1/4 of the sandwich.

(1/2)/2 = 1/4

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Which number is greater than (>) 6.841?
icang [17]
6.842 or higher. When you line up the decimals, you see 6.842 has a 2 and 6.841 has a 1. 2 is greater than 1, more greater numbers are 6.843, 6.844, 6.845, etc.
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Change the order or grouping to find sum, explain how you used properties to find sum. 63+86+77
ZanzabumX [31]
63+86+77 it =s 226 so thank you for asking am only 9 am in 4 grade its easy look it up on the calculator but I did not use it believe me
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Round 56.834 to the nearest tenth
k0ka [10]

Answer:

56.8

Step-by-step explanation:

8 is the tenth

numbers that are 4 or under stay the same

numbers that are 5 or above round up

8 0
2 years ago
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A human resources manager keeps a record of how many years each employee at a large company has been working in their current ro
REY [17]

Answer:

0.3085 = 30.85% probability that the mean years of experience from the sample of 4 is greater than 3.5 years.

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 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}}

Distribution of years of experience:

Mean 3, so \mu = 3

Standard deviation 2, so \sigma = 2

Sample of 4:

n = 4, s = \frac{2}{\sqrt{4}} = 1

What is the probability that the mean years of experience from the sample of 4 is greater than 3.5?

1 subtracted by the pvalue of Z when X = 3.5. So

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

By the Central Limit Theorem

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

Z = \frac{3.5 - 3}{1}

Z = 0.5

Z = 0.5 has a pvalue of 0.6915

1 - 0.6915 = 0.3085

0.3085 = 30.85% probability that the mean years of experience from the sample of 4 is greater than 3.5 years.

3 0
2 years ago
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Suppose you borrowed $15,000 at a rate of 11.1% and must repay it in 5 equal installments at the end of each of the next 5 years
Elodia [21]

Answer:

The answer is $1,665.

Step-by-step explanation:

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3 0
2 years ago
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