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densk [106]
3 years ago
12

Determine ΔH for the reaction CaCO3 → CaO + CO2 given these data: 2 Ca + 2 C + 3 O2 → 2 CaCO3 ΔH = −2,414 kJ C + O2 → CO2 ΔH = −

393.5 kJ 2 Ca + O2 → 2 CaO ΔH = −1,270 kJ Write your answer using 4 significant figures, do not include units.
Chemistry
1 answer:
kicyunya [14]3 years ago
8 0

Answer:

The ΔH for the reaction is -456.5 KJ

Explanation:

Here we want to determine ΔH for the reaction;

Mathematically;

ΔH = ΔH(product) - ΔH(reactant)

In the case of the first reaction;

ΔH = ΔH(CaO) + ΔH(CO2) - ΔH(CaCO3)  ...........................(*)

From the other reactions, we can get the respective ΔH for the individual molecule in the reaction

In second reaction;

Kindly note that for elements, molecule of gases, ΔH = 0

What this means is that throughout the solution;

ΔH(Ca)  = 0 KJ

ΔH(O2) = 0 KJ

ΔH(C) = 0 KJ

Thus, in writing the equation for the subsequent chemical reactions, we shall need to write and equate the overall ΔH for the reaction to that of the product alone

So in the second reaction

ΔH = 2ΔH(CaCO3)

Thus;

-2414/2 = ΔH(CaCO3)

ΔH(CaCO3) = -1,207  KJ

Moving to the third reaction, we have;

ΔH = ΔH(CO2)

Hence ΔH(CO2) = -393.5 KJ

For the last reaction;

ΔH = ΔH(CaO)

Hence ΔH(CaO) = -1270 KJ

Going back to equation *

ΔH = ΔH(CaO) + ΔH(CO2) - ΔH(CaCO3)

Using the values of the ΔH  of the respective molecules given above,

ΔH  = -1270 + (-393.5) - (-1207)

ΔH  = -456.5 KJ

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<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>

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