Data Types and Characteristics

The video tutorial introduces the types of data in statistics, focusing on numerical and categorical data. Numerical data is divided into discrete and continuous types, with examples illustrating each. Categorical data is further divided into nominal and ordinal types, with examples provided. The tutorial concludes with an analysis of a data table, identifying the types of data in each column.

What are the two main types of data discussed in the video?

• Numerical and Categorical

• Nominal and Ordinal

• Discrete and Continuous

• Quantitative and Qualitative

Which of the following is an example of numerical data?

• Customer name

• Cost of a shirt

• Size of a shirt

• Item category

What characterizes discrete data?

• It can take any value within a range

• It is always a whole number

• It is always a decimal number

• It has no specific order

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

• Number of customers

• Number of shirts

• Number of pants

• Cost of a shirt

What is a key feature of continuous data?

• It can take any value within a range

• It can be divided into categories

• It is always a whole number

• It is always a name

Which of the following is an example of continuous data?

• Cost of a shirt

• Number of shirts

• Item category

• Customer name

What are the two subtypes of categorical data?

• Whole and Decimal

• Quantitative and Qualitative

• Nominal and Ordinal

• Discrete and Continuous

What does nominal data represent?

• Ordered categories

• Names or labels

• Whole numbers

• Decimal numbers

Which of the following is an example of nominal data?

• Cost of a shirt

• Number of shirts

• Size of a shirt

• Customer name

What is a characteristic of ordinal data?

• It represents ordered categories

• It has no specific order

• It is always a whole number

• It is always a decimal number