Lesson 1.2 Classifying Data

What type of data can be considered attributes, labels, or non-numerical?

• Quantitative Data

• Qualitative Data

• Interval Data

• Ratio Data

Answer explanation

Qualitative data refers to non-numerical attributes or labels that describe characteristics or qualities. In contrast, quantitative data involves numerical values, making qualitative the correct choice for non-numerical data.

Which type of data is numerical and can be measured or counted?

• Nominal Data

• Qualitative Data

• Quantitative Data

• Ordinal Data

Answer explanation

Quantitative data is numerical and can be measured or counted, making it distinct from nominal and qualitative data, which are categorical, and ordinal data, which involves ranking but not precise measurement.

Which level of measurement allows data to be arranged in some kind of order or rank?

• Nominal level

• Ordinal level

• Interval level

• Ratio level

Answer explanation

The ordinal level of measurement allows data to be ranked or ordered based on some criteria, unlike nominal data which cannot be ordered. Therefore, the correct answer is the ordinal level.

At which level of measurement can differences between data be useful?

• Nominal level

• Ordinal level

• Interval level

• Ratio level

Answer explanation

The interval level of measurement allows for meaningful differences between data points, making it useful for statistical analysis. Unlike nominal and ordinal levels, interval data can be quantified and compared in terms of differences.

Which of the following is an example of quantitative data?

• Phone numbers

• Zip codes

• Height of a person

• Jersey numbers

Answer explanation

Quantitative data represents measurable quantities. The height of a person is a numerical value that can be measured, making it quantitative. In contrast, phone numbers, zip codes, and jersey numbers are categorical data.

Which of the following is an example of data that can be both qualitative and numerical?

• A) Age

• B) Phone numbers

• C) Weight

• D) Temperature

Answer explanation

Phone numbers can be considered qualitative as they represent a category of contact information, but they are also numerical in form. This dual nature makes them the correct choice, unlike age, weight, or temperature, which are strictly quantitative.

Which of the following best describes ordinal data?

• A) Data with a natural order

• B) Data without a natural order

• C) Data that is numerical

• D) Data that is categorical

Answer explanation

Ordinal data is characterized by a natural order, meaning the values can be ranked or ordered. For example, survey responses like 'satisfied', 'neutral', and 'dissatisfied' show a clear progression, making A the correct choice.

Which level of measurement includes a true zero, allowing for the comparison of absolute magnitudes?

• Nominal

• Ordinal

• Interval

• Ratio

Answer explanation

The ratio level of measurement includes a true zero, which allows for meaningful comparisons of absolute magnitudes. Unlike nominal, ordinal, and interval levels, ratio data can express how many times greater one value is than another.

Which level of measurement is appropriate for data that can be ordered but not measured?

• Nominal

• Ordinal

• Interval

• Ratio

Answer explanation

The ordinal level of measurement is appropriate for data that can be ordered but not measured. It allows for ranking but does not provide precise differences between the ranks, distinguishing it from nominal, interval, and ratio levels.

The length of songs on your favorite playlist is an example of what type of data?

• Qualitative

• Quantitative

Answer explanation

The length of songs is a measurable value, making it quantitative data. Quantitative data represents numerical values, while qualitative data describes characteristics or qualities.