This video tutorial explains the four levels of measurement: nominal, ordinal, interval, and ratio. It discusses how data is classified into quantitative and qualitative categories, and provides examples for each level of measurement. The video also covers the sources of data, including primary and secondary data, and concludes with a summary and interactive questions to reinforce learning.

What are the two main categories of data classification?

• Discrete and Continuous

• Primary and Secondary

• Quantitative and Qualitative

• Nominal and Ordinal

Which type of data is collected first-hand through surveys and experiments?

• Secondary Data

• Qualitative Data

• Primary Data

• Interval Data

What type of data can be counted in whole numbers?

• Interval Data

• Qualitative Data

• Discrete Data

• Continuous Data

Which of the following is an example of qualitative data?

• Height

• Weight

• Color of a hat

• Number of students

What is the main difference between qualitative and quantitative data?

• Quantitative data is categorical

• Qualitative data is numerical

• Quantitative data cannot be measured

• Qualitative data describes qualities

Which level of measurement is the simplest and involves naming or labeling?

• Ordinal

• Ratio

• Interval

• Nominal

In which level of measurement does the order matter but not the difference between values?

• Ratio

• Interval

• Ordinal

• Nominal

Which level of measurement includes both order and exact differences between values but lacks a true zero?

• Nominal

• Ordinal

• Interval

• Ratio

Which level of measurement includes order, exact differences, and an absolute zero?

• Nominal

• Ratio

• Interval

• Ordinal

Which measure of central tendency is applicable to all levels of measurement?

• Arithmetic Mean

• Geometric Mean

• Mode

• Median