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matrenka [14]
3 years ago
14

Kelly is sledding on a snowy hill in the winter. The energy the sled has as it slides down the hill is a form of

SAT
2 answers:
Mkey [24]3 years ago
6 0

Answmh j wr bfhje bfr

Explanation:

LenKa [72]3 years ago
4 0

Answer:

kinetic energy

Explanation:

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Which of the following are in the correct order from least to greatest?
stellarik [79]

Answer:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  21 22 23 24 25 26 27 28 29 30 31...

6 0
2 years ago
To prevent injury while maintaining equipment make sure the equipment is
nikklg [1K]

To prevent injury while maintaining equipment make sure the equipment is locked out and/or tagged out (i.e., de-energized).

<h3>What does locked-out equipment mean?</h3>

Equipment is locked out when it does not contain any type of change that may affect the security of a device.

This task (locked out) is fundamental to avoid any safety problems associated with a device.

In conclusion, to prevent injury while maintaining equipment make sure the equipment is locked out and/or tagged out (i.e., de-energized).

Learn more about locked-out equipment here:

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2 years ago
Panthers and leopards prey on deer in an ecosystem. For unknown reasons, the population of leopards increased drastically. What
Bogdan [553]
2 or 3 because, less food means more fighting to get the remaining
3 0
3 years ago
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When you lift a weight what part of the arm is doing the most work.
GrogVix [38]

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Muscle

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8 0
3 years ago
A doctor is measuring the mean systolic blood pressure of female students at a large college. Systolic blood pressure is known t
Zarrin [17]

Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:

The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.

<h3>Central Limit Theorem</h3>

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 sampling distribution is also approximately normal, as long as n is at least 30.

In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:

The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.

To learn more about the Central Limit Theorem, you can check brainly.com/question/24663213

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2 years ago
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