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lianna [129]
2 years ago
10

Can someone please help me ASAP???!!!

Physics
1 answer:
olganol [36]2 years ago
8 0

Answer: The answers are:

Explanation:

1. C

2. A

3. C

4. B

5. D

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In the refrigeration cycle, the process of liquid changing to the vapor phase _____.
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Evaporation?  im not positive but im almost certain that's the answer
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How much net force is required to accelerate a 0.5 kg toy car, initially at rest to a velocity of 2.4 m/s in 6s?
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Force = 0.20N .F = m ×a .& a = v/t then the f = m×v/t

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Humans can hear frequencies as low as 21 Hz. If sound is measured during 3 seconds how many wavelengths pass?
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8 0
4 years ago
. How much power is used to move a 5 kg mass 28 meters in 8 seconds?
saul85 [17]

Answer:

171.5Watts

Explanation:

Given parameters:

Mass  = 5kg

Distance  = 28m

Time  = 8s

Unknown:

Power = ?

Solution:

Power is the rate at which work is done;

       Power  = \frac{work done }{time taken}

Work done  = force x distance = mg x d =

  m is the mass

   g is the acceleration due to gravity

   d is the distance

  Work done  = 5 x 9.8 x 28 = 1372J

     Power = \frac{1372}{8}   = 171.5Watts

6 0
3 years ago
What are the two decisions that you can make from performing a hypothesis test? what are the two decisions that you can make fro
BigorU [14]

When conducting a hypothesis test there are two possible decisions  that you can make: reject the null hypothesis or fail to reject the null hypothesis.

A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis. Hypothesis testing allows us to make probabilistic statements about population parameters.

When conducting a hypothesis test there are two possible decisions: reject the null hypothesis or fail to reject the null hypothesis. You should remember though, hypothesis testing uses data from a sample to make an inference about a population. When conducting a hypothesis test we do not know the population parameters. In most cases, we don't know if our inference is correct or incorrect.

When we reject the null hypothesis there are two possibilities. There could really be a difference in the population, in which case we made a correct decision. Or, it is possible that there is not a difference in the population (i.e.,  is true) but our sample was different from the hypothesized value due to random sampling variation. In that case we made an error. This is known as a Type I error.

When we fail to reject the null hypothesis there are also two possibilities. If the null hypothesis is really true, and there is not a difference in the population, then we made the correct decision. If there is a difference in the population, and we failed to reject it, then we made a Type II error.

Learn more about hypothesis test here : brainly.com/question/15980493

#SPJ4

3 0
2 years ago
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