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Anna35 [415]
3 years ago
6

Does mass resists acceleration?

Physics
1 answer:
defon3 years ago
4 0
Yes, mass resists acceleration.
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How is urine produced
Tom [10]

Urine is a liquid by-product of metabolism in humans and in many other animals. Urine flows from the kidneys through the ureters to the urinary bladder. Urination results in urine being excreted from the body through the urethra.  

5 0
3 years ago
Read 2 more answers
1. Suppose you have a metal bar. Its mass is 57.9g and its volume is 3cm'. What is its<br> density?
mariarad [96]

¡Hellow!

How we know, for calculate density, we can use the formule:

                                               \boxed{\textbf{p = m / v} }

<u>Where:</u>

\sqrt{ p = Density = ?

\sqrt{ m = Mass = 57,9 g

\sqrt{ v = Volume = 3 cm³

Let's replace according we information:

p = 57,9 g / 3 cm³

p = 19,3 g/cm³

The density of the metal bar is <u>19,3 g/cm³.</u>

<u></u>

¿Good luck?

3 0
3 years ago
Anthony is deciding between different savings accounts at his bank. He has four options, based on how frequently interest compou
77julia77 [94]
So annual compounding means that the account is compound once a year, semi-annual is 2 times a year, monthly compounded is every month (so 12 times a year). and daily is every day (so 365 times a year). If he wants the best rate of return on his interest, or the most money, he should choose daily compounding because his funds are being compounded every day. 
5 0
3 years ago
46. Can you take a walk in such a way that the distance
Vikki [24]

Answer: In a logical Pace forum subject to the distance

Explanation:

7 0
3 years ago
Two students conduct a study to investigate the relationship between forearm length and height. Maria measures the subjects in c
inn [45]

Answer:

r = 0.86

Explanation:

Correlation coefficients are the strength of the relationship between two variables.

Correlations can indicate anywhere between

  • 1 - for a strong positive relationship.
  • -1 - for a strong negative relationship.
  • 0 - for no relationship at all.

Looking at sample correlation coefficient formula which says

r_{xy} = S_{xy} ÷ (S_{x} × S_{y})

where S_{x} and S_{y} are the sample deviations and S_{xy} is the sample covariance, all of which will remain the same for Maria and John.

Hence, John's correlation will be approximately 0.86 since he would have approximately the same measurement as Maria's measurement when Maria's measurement is converted from centimeters to inches.

4 0
4 years ago
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