Types of Data in Inferential Statistics

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18 Questions

Which of the following best describes the ordinal level of measurement?

Orders data but does not have a true zero point

In statistics, what is a parameter?

A numerical characteristic of a population

Which type of measurement level has data that can be ranked and has equal intervals between consecutive numbers?

Interval level

Data at the ratio level of measurement possess which key characteristic?

True zero point and equal intervals

What distinguishes nominal level data from other levels of measurement?

Consists of categories with no inherent order

Which term is used for a numerical description of a sample characteristic in statistics?

Statistic

Which level of measurement allows for mathematical computations to be made?

Ratio

Data at the nominal level of measurement is characterized by:

Attributes, labels, or nonnumerical entries.

In which level of measurement can only qualities be represented?

Nominal

Which type of data involves numerical measurements or counts?

Quantitative data

At the ordinal level of measurement, data can be:

Ranked or ordered.

The interval level of measurement differs from the ratio level in that:

Ratio data can have a true zero point.

Which of the following is an example of data at the nominal level of measurement?

Names of students in your class

If data are arranged in order, but the differences between entries are not meaningful, at which level of measurement are they classified?

Ordinal

Which of the following is an example of data at the interval level of measurement?

Temperatures measured in Fahrenheit

At which level of measurement can a ratio of two data values be formed, allowing one value to be expressed as a ratio of another?

Ratio

If data are quantitative and a zero entry is meaningful, at which level of measurement are they classified?

Ratio

Which of the following is an example of data that could be measured at the ratio level?

Weights of objects in kilograms

Explore the classifications of data in inferential statistics, including qualitative and quantitative data. Learn how to differentiate between attributes and numerical measurements in Larson & Farber's Elementary Statistics: Picturing the World.

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