Question
Which data analytics technique is suitable for handling
missing data points in a dataset?Solution
When dealing with missing data, data scientists can use two primary methods to solve the error:Â imputation or the removal of data. The imputation method develops reasonable guesses for missing data. It's most useful when the percentage of missing data is low.
Statements:
All Wrappers are Wafers.
Only a few Wafers are Celebrations.
No Celebration is Party.
Conclusions:
I. All...
Statements:
No Pencil is a Sharpener.
Only a few Sharpeners are Erasers.
98% of Erasers are Pens.
100% Pens are Boxes.
<...Statements:
All pearls are diamonds.
All diamonds are gold
All gold are silvers.               Â
Statements: Some tigers are lions.
     No lion is a leopard.Â
              Some leopards are Fox.
In the question below some statements are given followed by three conclusions I, II, and III. You have to take the given statements to be true even if ...
Read the given statements and conclusions carefully. Assuming that the information given in the statements is true, even if it appears to be at varianc...
Statements:
All Pilots are Teachers.
Only a few Teachers are Doctors.
No Doctor is Lawyer.
Conclusions:
I....
Statements:
No red is white.
All white are orange.
Some Orange are blue.
Conclusions:
I. No red is blue.
II. N...
Statement :
All hotels are rooms.
All rooms are flats.
All flats are buildings.
No building is apartments.
Conclusi...
Statements: Only cars are motorcycles.
No motorcycle is a bike.
Some bikes are scooters.
All scooters are jeeps.
Conclu...
