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Related Concept Videos

Ratio Level of Measurement00:54

Ratio Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...
Relative Frequency Histogram01:14

Relative Frequency Histogram

The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
Measuring Reaction Rates03:09

Measuring Reaction Rates

Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical field in...
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Bar Graph01:07

Bar Graph

A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
Interval Level of Measurement00:55

Interval Level of Measurement

For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between the...

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Related Experiment Video

Updated: May 23, 2026

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

Describing behavior with ratios of count and time.

J M Johnston, C W Hodge

    The Behavior Analyst
    |April 6, 2012
    PubMed
    Summary

    Behavior analysis commonly uses count and time ratios. This study explores what these ratios measure, their utility, and related concepts like dimensional analysis for better measurement selection.

    Area of Science:

    • Behavior Analysis
    • Quantitative Measurement

    Background:

    • Behavior analysis frequently employs ratios of count and time to quantify behavior.
    • Understanding the descriptive properties of these ratios is crucial for accurate behavioral assessment.

    Purpose of the Study:

    • To analyze count and time ratios in behavior analysis.
    • To determine the specific behavioral aspects described by different ratios.
    • To evaluate the comparative utility of various ratios and inform measurement selection.

    Main Methods:

    • Examination of count and time ratios.
    • Analysis of derived quantities and dimensional analysis.
    • Review of advantages, disadvantages, and selection criteria for measurement ratios.

    Main Results:

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    Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
    09:12

    Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

    Published on: March 17, 2019

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
    08:13

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

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    • Different ratios describe distinct aspects of behavior.
    • The utility of a ratio depends on the specific measurement goals.
    • Dimensional analysis provides a framework for understanding ratio properties.

    Conclusions:

    • Ratios of count and time are valuable but require careful selection.
    • Understanding the dimensional properties of ratios enhances their application.
    • Informed selection of measurement quantities is key in behavior analysis.