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ICE Princess25 [194]
3 years ago
14

The fluid in a car battery has a volume of 125 mL and a mass of 155 g what is the density

Chemistry
2 answers:
mihalych1998 [28]3 years ago
4 0

Answer:

derhsaw ₹ lagega samjha kya bete

Leviafan [203]3 years ago
4 0

Answer:

19375

Explanation:

Volume times mass

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An object exerts force of 500 n and sits on an area of 4.5m X 1.5m. Calculate the amount of pressure exerted by the object in to
vlabodo [156]

4.5 times 1.5

divide by 500n

5 0
3 years ago
1. What would happen if you aimed light from the magenta part of the Horsehead Nebula through a spectrograph?
otez555 [7]

Given what we know, we can confirm that if you aimed light from the magenta part of the Horsehead Nebula through a spectrograph we would be able to determine more precisely the structure and details of the cloud.

<h3>How do we use Spectrums in order to understand stars?</h3>

The spectrums recorded by scientists, such as those of stars or nebulas like the horsehead nebula can tell us a great deal about the composition of said entities. Studying the spectrum can tell scientists about the chemical composition of stars or nebulas, such as information about the elements that form them, like their temperatures and densities.

<h3 /><h3>How would a discontinuous emission of hydrogen gas look in the spectrum?</h3>

This would appear as pauses in the lines of the spectrum. If the emission of the hydrogen gas were constant, there would be a continuous line on the spectrum graph to indicate the illuminated hydrogen, though if this line were discontinuous, we would be able to assume that its source is emission from another gas instead.

Therefore, we can confirm that spectrography is an essential part of scientific discovery pertaining to our universe. It allows us to study the chemical composition of stars and nebulas, and determine the sources of certain emissions like that of hydrogen gases.

To learn more about spectrographs visit:

brainly.com/question/15290407?referrer=searchResults

4 0
2 years ago
A buffer solution is prepared by placing 5.86 grams of sodium nitrite and 32.6 mL of a 4.90 M nitrous acid solution into a 500.0
N76 [4]

This question is incomplete, the complete question is;

A buffer solution is prepared by placing 5.86 grams of sodium nitrite and 32.6 mL of a 4.90 M nitrous acid solution into a 500.0 mL volumetric flask and diluting to the calibration mark. If 10.97 mL of a 1.63 M solution of potassium hydroxide is added to the buffer, what is the final pH? The Ka for nitrous acid = 4.6 × 10⁻⁴.

Answer:

the final pH is 3.187

Explanation:

Given the data in the question;

Initial moles of HNO2 = 32.6/1000 × 4.90 = 0.15974 mol

Initial moles of NO2- = mass/molar mass = 5.86/68.995 =  0.0849336 mol

Moles of KOH added = 10.97/1000 × 1.63  = 0.0178811 mol

so

HN02 + KOH → NO2- + H2O

moles of HNO2 = 0.15974 - 0.0178811 = 0.1418589 mol

Moles of NO2- = 0.0849336 + 0.0178811  =  0.1028147 mol

Now,

pH = pka + log( [NO2-]/[HNO2])

pH = -log ka + log( moles of NO2- / moles of HNO2 )

we substitute

pH = -log( 4.6 × 10⁻⁴ ) + log( 0.1028147  / 0.1418589  )

pH = -log( 4.6 × 10⁻⁴ ) + log( 0.724767 )

pH =  3.337242 + (-0.1398 )

pH = 3.187

Therefore, the final pH is 3.187

8 0
3 years ago
Is likely that a major volcanic eruption will occur on the mainland of the United States?
andrew11 [14]

Answer:

Probably in Yellowstone, yeah.

7 0
3 years ago
Describe at least two ways that a researcher can minimize experimental errors in an investigation
snow_tiger [21]
Experimental errors occurs in the execution of experiment design. Example of experimental errors are  mistakes in data entry, systematic error, and random error caused by environmental conditions. Did you even heard about type I and type II error? Because that may be the 2 ways you are looking for.  
A false positive is called a Type I error, and it is the type of error that incorrectly rejecting the null hypothesis in the favor of the alternatives.
A false negative is what you called Type II error, it is the opposite of type I error and it is the false acceptance of the null hypothesis. A type II errors are not seen to be as problematic as type I error, type I error is more serious than type II error, because you have wrongly rejected the null hypothesis.
5 0
3 years ago
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