Data Representation

Question 1

Define discrete data

Answer 1

Data that can only take set values in a range of

Question 2

Define continuous

Answer 2

Data that can take any value in a range

Question 3

Define outlier

Answer 3

Extreme value which doesn’t fit the same patterns as the rest of the data set. You can never remove them unless there is a genuine reason to do so.

Question 4

Define anomalies

Answer 4

An outlier where there is a genuine reason why it shouldn’t be there. You can remove anomalies from the data called cleaning the data.

Question 5

How can you use mean and standard deviation to identify outlier

Answer 5

Any value which is more than 3 standard deviations from the mean is considered an outlier

Question 6

How can you use tukey fences to identify outliers

Answer 6

The lower tukey fence is Q1-1.5 IQR
The upper tukey fence Q3+1.5 IQR

Any value outside the tukey fence is considered an outlier