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blsea [12.9K]
3 years ago
15

Not gonna sugar coat it im cheeting...

Mathematics
2 answers:
Neporo4naja [7]3 years ago
6 0

Answer:

The answer is <u><em>-0.44</em></u>.

Hope that helps. x

otez555 [7]3 years ago
5 0

Answer:

-0.44

Step-by-step explanation:

That's what I get using a calculator.

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Move to a safe area if possible. plz mark brainliest

Step-by-step explanation:

3 0
3 years ago
Is 1-6 correct please help I will give thanks or brainliest
Veronika [31]
Good job !! There all correct !
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The bookstore sold m books on Monday and t books on Tuesday. But on Wednesday, r books were
Amiraneli [1.4K]

Answer:

t

Step-by-step explanation:

Label the books returned "b", and the books sold on monday "m", and the books sold on tuesday "t", and the books returned "r".

the formula:

b = (m + t) - r

(you can remove the brackets)

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3 years ago
Suppose that the walking step lengths of adult males are normally distributed with a mean of 2.5 feet and a standard deviation o
Mumz [18]

Answer:

0% probability that the mean of the sample taken is less than 2.2 feet.

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.

Mean of 2.5 feet and a standard deviation of 0.2 feet.

This means that \mu = 2.5, \sigma = 0.2

Sample of 41

This means that n = 41, s = \frac{0.2}{\sqrt{41}}

Find the probability that the mean of the sample taken is less than 2.2 feet.

This is the p-value of Z when X = 2.2 So

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

By the Central Limit Theorem

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

Z = \frac{2.2 - 2.5}{\frac{0.2}{\sqrt{41}}}

Z = -9.6

Z = -9.6 has a p-value of 0.

0% probability that the mean of the sample taken is less than 2.2 feet.

6 0
3 years ago
At a coffee shop, the first 100 customers’ orders were as follows
Anestetic [448]

Step-by-step explanation:

Probability of large hot drink = 22/ 100 = 11/50

6 0
4 years ago
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