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olya-2409 [2.1K]
2 years ago
15

g One tank of gasoline has an octane rating of 130 and another tank of gasoline has an octane rating of 90. To obtain a mixture

of 80 gallons with an octane rating of 115, how many gallons should be used from the tank with the octane rating of 90
Chemistry
1 answer:
tino4ka555 [31]2 years ago
8 0
90 kg







mnnnn







youuuuu heeeeelp
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Answer:

4,1,5,3,2 (from left to right)

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During the chemical reaction given below 21.71 grams of each reagent were allowed to react. Determine how many grams of the exce
swat32

Answer: 16.32 g of O_2 as excess reagent are left.

Explanation:

To calculate the moles :

\text{Moles of solute}=\frac{\text{given mass}}{\text{Molar Mass}}    

\text{Moles of} SO_2=\frac{21.71g}{64g/mol}=0.34mol

\text{Moles of} O_2=\frac{21.71g}{32g/mol}=0.68mol

2SO_2(g)+O_2(g)\rightarrow 2SO_3(g)  

According to stoichiometry :

2 moles of SO_2 require = 1 mole of O_2

Thus 0.34 moles of SO_2 will require=\frac{1}{2}\times 0.34=0.17moles  of O_2

Thus SO_2 is the limiting reagent as it limits the formation of product and O_2 is the excess reagent.

Moles of O_2 left = (0.68-0.17) mol = 0.51 mol

Mass of O_2=moles\times {\text {Molar mass}}=0.51moles\times 32g/mol=16.32g

Thus 16.32 g of O_2 as excess reagent are left.

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How many molecules are in 2.50 moles of co2
zmey [24]

Answer:

1.51 \times 1024 \:  \: molecules

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Read 2 more answers
Entropy A. has a strong odor B. is a measure of correlation between numeric variables C. is used to calculate information gain D
Bingel [31]

Correct option:

Entropy is used to calculate information gain.

What is entropy?

  • Entropy is the measure of data's uncertainty or randomness; the greater the randomness, the higher the entropy. Entropy is used by information gain to make choices. Information will increase if the entropy decreases.
  • Decision trees and random forests leverage information gained to determine the appropriate split. Therefore, the split will be better and the entropy will lower the more information gained.
  • Information gain is calculated by comparing the entropy of a dataset before and after a split.
  • Entropy is a way to quantify data uncertainty. The goal is to maximize information gain while minimizing entropy. The method prioritizes the feature with the most information, which is utilized to train the model.
  • Entropy is actually used when you use information gain.

Learn more about entropy here,

brainly.com/question/22145368

#SPJ4

3 0
1 year ago
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