DES 230 - Quatitative Data Measurements

Why is Quantitative Data important?

• Always the same. The difference between 60 degrees and 70 degrees is the same as 70 degrees and 80 degrees.
• It is easy to collect a very large amount of data very efficiently
• Middle.
• Data that has a hierarchy and can be ranked

What's more efficient than qualitative data?

• Average. Sum total / number of elements
• Straightforward Analyses
• It is easy to collect a very large amount of data very efficiently
• Quantitative Data COLLECTION

What are commonly-used types of quantitative data?

• They relate to one another but have no ordered hierarchy
• Very highly standardized
• You can order them, but no math
• Mode can have multiple results

What is safe to assume about all quantitative data?

• Space between units is not uniform; may not even be a zero
• The average of those two elements
• Not all quantitative data is standardized
• Always the same. The difference between 60 degrees and 70 degrees is the same as 70 degrees and 80 degrees.

Quantitative Data ANALYSIS are what?

• Addition and Subtraction only
• Very highly reliable
• It is easy to collect a very large amount of data very efficiently
• Multiple points of the same category data

What is not reliable for Quantitative Data?

• Quantitative Data COLLECTION
• Not all quantitative data is standardized
• Math isn't possible with nominal data
• The average of those two elements

What issue do both Quantitative Data Analysis and Quantitative Data Collection share?

• Not necessarily valid
• Middle.
• Basic Descriptive Data
• Means something other than nothing

Analysis wise, what type of data is often very straightforward?

• Space between units is not uniform; may not even be a zero
• Basic Descriptive Data
• Quantitative Data COLLECTION
• Mode can have multiple results

What are examples of basic descriptive data?

• Name, height and weight
• Depends on the levels of measurement
• Not all quantitative data is standardized
• Name, place of birth, ethnicity, favorite game

How can basic descriptive be analyzed and used?

• Depends on the levels of measurement
• Mean, Median, and Mode (I)
• Very highly standardized
• Name, place of birth, ethnicity, favorite game