Nominal-Genda, religion, post, code, ethnic
Ordinal-Satisfaction, exam, grade, position in class
Interval-IQ, temperature, score, CGPA
Ratio-Height, weight, time, age, grant
The correct order of scales of measurement from least precise to most precise is nominal, ordinal, interval, and ratio. Nominal scales categorize data without a specific order, ordinal scales rank data but do not specify the magnitude of differences between ranks. Interval scales provide meaningful differences between values but lack a true zero point, while ratio scales include a true zero and allow for the comparison of absolute magnitudes.
Grade scores are an ordinal level of measurement. A ratio level of measurement would be weight of a person or how much money a person has.
measurement
The Decibal scale for sound measurement is an example of a logarithmic scale. The Richter scale, the pH scale, the magnitude scale for stars, the multiplicative scales on a slide rule
nominal and ordinal
ordinal
using scales and instruments
The nominal scale.
The label measuring a variable is called a "scale" or "measurement scale." Common types of measurement scales include nominal, ordinal, interval, and ratio scales, each representing different levels of measurement and data characteristics. These scales help in categorizing, ranking, or quantifying variables for analysis.
scales are 3 things1. Measurement Item2. Little Shiny things on an animal3.It is like a coat of armor for a fish
No. For example all reptiles have scales.
Metric scales, also known as interval or ratio scales, are types of measurement scales used in research methods that quantify variables using numerical values. They allow for a meaningful comparison of differences between measurements, enabling researchers to perform various statistical analyses. Metric scales include continuous data, such as height or weight, where both the order and the exact differences between values are significant. This precision makes them particularly useful for measuring variables in scientific studies.