Statistics for Data Science and Business Analysis - The Various Types of Data We can Work With

The video tutorial introduces the concept of data types, focusing on categorical and numerical data. Categorical data is described as data that represents categories or groups, such as car brands or yes/no questions. Numerical data is divided into discrete and continuous types. Discrete data can be counted and includes examples like the number of children or SAT scores. Continuous data, such as weight or time, can take on an infinite number of values. The tutorial emphasizes the importance of understanding these data types for statistical analysis and visualization.

What type of data is represented by categories or groups, such as car brands?

• Continuous data

• Categorical data

• Discrete data

• Numerical data

Which of the following is an example of discrete data?

• Your weight

• Your height

• The number of children you want

• The time of day

What characteristic defines continuous data?

• It is finite and countable

• It is always represented by whole numbers

• It can only take integer values

• It can take any value within a range

Which of the following is NOT an example of continuous data?

• Time

• Number of cars

• Area

• Height

How is physical money, like banknotes and coins, classified in terms of data type?

• Numerical data

• Discrete data

• Categorical data

• Continuous data