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LiRa [457]
3 years ago
6

Based on the Lewis/electron dot representation

Chemistry
1 answer:
tekilochka [14]3 years ago
3 0
I’m pretty sure The answer is B
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This is a Science Question:
mr_godi [17]
They are the same as animals ability to find food and get away from others.
8 0
4 years ago
According to the following reaction, how many grams of potassium phosphate will be formed upon the complete reaction of 29.6 gra
Ugo [173]

Answer:

There is 37.36 grams of K3PO4 produced

Explanation:

Step 1: Data given

Mass of H3PO4 = 29.6 grams

KOH is in excess

Molar mass of KOH = 56.11 g/mol

Molar mass of H3PO4 = 97.99 g/mol

Step 2: The balanced equation

3KOH(aq) + H3PO4(aq) ⇔ K3PO4(aq)+3H2O(l)

Step 3: Calculate mass of KOH

Mass KOH = mass KOH / molar mass KOH

Mass KOH = 29.6 grams / 56.11 g/mol

Mass KOH = 0.528 moles

Step 4: Calculate moles of K3PO4

Since KOH is the limiting reactant, We need 3 moles of KOH for each moles of H3PO4, to produce 1 mole of K3PO4 and 3 moles of H2O

For 0.528 moles of KOH we'll have 0.528/3 =  0.176 moles of K3PO4

Step 5: Calculate mass of K3PO4

Mass K3PO4 = moles K3PO4 * molar mass K3PO4

Mass K3PO4 = 0.176 moles * 212.27 g/mol

Mass K3PO4 = 37.36 grams

There is 37.36 grams of K3PO4 produced

8 0
3 years ago
When might neutralization reactions be used in a laboratory setting?
Ipatiy [6.2K]
Neutralization reactions can be used in a laboratory setting in order t<span>o dispose of chemicals. When spills happens, for instance an acid is on the floor, you can use a base to neutralize the spill. Hope this answers the question. Have a nice day.</span>
6 0
3 years ago
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
2 years ago
What would most likely happen when a metal is heated?
DENIUS [597]
It will melt

This is because the molecules in the metal begin to move faster and faster turning from solid to liquid
3 0
2 years ago
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