In chemistry the substance is usually measured using molecular mass and molar mass. They are very important concepts in chemistry. Expression of molar mass is grams per mole.
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Molar mass:
Difference between Molar mass and Molecular mass
Measurement given to compounds, atoms or molecules Determined only in molecules
According to this formula: Q=m*C*ΔT and when we have m of gasoline = 150 g = 0.15 Kg and the specific heat of gasoline = 2.22 KJ/Kg.K and ΔT = -30 + 15 = 15 °C So by substitution in the Q formula, we can get the amount of the heat: Q = 0.15 Kg * 2.22 KJ/Kg.K * 15 = 4.99 ≈ 5 KJ
<h3>Explanation;</h3><h2>Trying to address this part of your question -"This question stems from the fact that all data scientists state that data generated by people will grow exponentially and whe need as many data scientists as possible to tackle this phenomenon. And so I wondered what will be the difference between what we can discover now in our data and what can we discover in the future when we will have exponentially more data."</h2><h2 /><h2>Trying to address this part of your question -"This question stems from the fact that all data scientists state that data generated by people will grow exponentially and whe need as many data scientists as possible to tackle this phenomenon. And so I wondered what will be the difference between what we can discover now in our data and what can we discover in the future when we will have exponentially more data."It depends on what field the data is related to - is it related to areas we already know a lot about - it probably wont make a whole lot of difference if the distribution of the data is similar to your current data set.</h2><h2>Trying to address this part of your question -"This question stems from the fact that all data scientists state that data generated by people will grow exponentially and whe need as many data scientists as possible to tackle this phenomenon. And so I wondered what will be the difference between what we can discover now in our data and what can we discover in the future when we will have exponentially more data."It depends on what field the data is related to - is it related to areas we already know a lot about - it probably wont make a whole lot of difference if the distribution of the data is similar to your current data set.If the data is related to areas where we did not have a whole lot of existing data - space, weather or even all the new fitness trackers we all wear these days.</h2><h2>Trying to address this part of your question -"This question stems from the fact that all data scientists state that data generated by people will grow exponentially and whe need as many data scientists as possible to tackle this phenomenon. And so I wondered what will be the difference between what we can discover now in our data and what can we discover in the future when we will have exponentially more data."It depends on what field the data is related to - is it related to areas we already know a lot about - it probably wont make a whole lot of difference if the distribution of the data is similar to your current data set.If the data is related to areas where we did not have a whole lot of existing data - space, weather or even all the new fitness trackers we all wear these days.The fitness tracker data wasnt available a few years back, so more data is probably going to change the data, especially once the adoption moves from the early adopters (tech and fitness geeks) to other people - old people. kids etc - bet there is not much data related to them.</h2><h2 /><h2>Trying to address this part of your question -"This question stems from the fact that all data scientists state that data generated by people will grow exponentially and whe need as many data scientists as possible to tackle this phenomenon. And so I wondered what will be the difference between what we can discover now in our data and what can we discover in the future when we will have exponentially more data."It depends on what field the data is related to - is it related to areas we already know a lot about - it probably wont make a whole lot of difference if the distribution of the data is similar to your current data set.If the data is related to areas where we did not have a whole lot of existing data - space, weather or even all the new fitness trackers we all wear these days.The fitness tracker data wasnt available a few years back, so more data is probably going to change the data, especially once the adoption moves from the early adopters (tech and fitness geeks) to other people - old people. kids etc - bet there is not much data related to them.Without knowing what type of data, the amount and quality of existing data, it is hard to generalize.</h2><h2><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u> </u></em><em><u>Confirm</u></em><em><u>.</u></em><em><u> </u></em></h2><h2><em><u>#Brainliest</u></em><em><u> </u></em><em><u>Answer</u></em></h2>
Let suppose that air inside the tire behaves ideally. The equation of state for ideal gases is:
As tire can be modelled as a closed and rigid container, there are no changes in volume and number of moles. Hence, the following relationship is constructed: