Answer:
in prism
it's from the rectangular reflecting surface
Considering the Charles' law, the gas would have a temperature of -109.2 C.
<h3>Charles' law</h3>
Finally, Charles' law establishes the relationship between the volume and temperature of a gas sample at constant pressure. This law says that the volume is directly proportional to the temperature of the gas. That is, if the temperature increases, the volume of the gas increases, while if the temperature of the gas decreases, the volume decreases.
Charles' law is expressed mathematically as:

If you want to study two different states, an initial state 1 and a final state 2, the following is true:

<h3>Temperature of the gas in this case</h3>
In this case, you know:
- P1= 1800 psi
- V1= 10 L
- T1= 20 C= 293 K (being 0 C= 273 K)
- P2= 1800 psi
- V2= 6 L
- T2= ?
You can see that the pressure remains constant, so you can apply Charles's law.
Replacing in the Charles's law:

Solving:


<u><em>T2=163.8 K= -109.2 C</em></u>
The gas would have a temperature of -109.2 C.
Learn more about Charles's law:
brainly.com/question/4147359?referrer=searchResults
Answer:

<em><u>=>A Love wave moves sideways along the surface of the earth in a snake-like motion. Like S waves, Love waves do not move through liquid.</u></em>
Explanation:
The given data is as follows.
= 250 mL,
= 750 mL
=
= 35 + 273 K = 308 K
= 35 + 273 K = 308 K
= 0.55 atm,
= 1.5 atm
P = ? , V = 10.0 L
Since, temperature is constant.
So,
= PV
Now, putting the given values into the above formula as follows.
= PV
= 
P = 0.126 atm
As, 1 atm = 760 torr. So,
= 95.76 torr.
Thus, we can conclude that the final pressure, in torr, of the mixture is 95.76 torr.
Answer:
Data Scientist
Explanation:
Data Scientist (different from a statistician) is a type of researcher that uses computer softwares to analyse and make sense of raw digital data.
Data Scientists usually combine knowledge of computer science, statistics and mathematics while using various softwares to extract information and meaningful, key insights (whether structured or unstructured) from data.
There are two popular types of data scientists: Operational Data Scientists (experts in software implementations and day to day running of the data science wing of a firm) and Exploratory Data Scientists (The real digital data miners, the researchers).
With the way the world is set up now that data is everything, data scientists are a must for every firm as the raw data every firm collects is processed by data scientists.