Determine which of the four levels of measurement is most appropriate for the statement below.
Ages of survey respondents.
A. Ratio
B. Interval
C. Ordinal
D. Nominal
an: B
it is really A
Agree with second choice.
The most appropriate level of measurement for the statement "Ages of survey respondents" is interval (option B). Interval measurement involves ranking data points in a meaningful order and calculating the differences between them. In this case, the ages can be ranked in ascending or descending order, and meaningful differences can be calculated between them (e.g., the difference between two ages is a meaningful measure of the gap between them).
To determine which level of measurement is most appropriate for the statement "Ages of survey respondents," we need to understand the different levels of measurement.
The four levels of measurement are:
A. Nominal - This level of measurement categorizes data into distinct categories. There is no specific order or ranking among the categories. Examples include gender (male or female), eye color (blue, brown, green), or blood type (A, B, AB, O).
B. Ordinal - This level of measurement categorizes data into distinct categories, but there is a specific order or ranking among the categories. However, the differences between the categories are not necessarily equal or quantifiable. Examples include survey ratings (poor, fair, good, excellent) or educational levels (high school, bachelor's, master's, Ph.D.).
C. Interval - This level of measurement categorizes data into distinct categories with a specific order or ranking. Additionally, the differences between the categories are equal and quantifiable. However, there is no true zero point. Examples include temperature (measured in degrees Celsius or Fahrenheit) or Likert scales (strongly disagree, disagree, neutral, agree, strongly agree).
D. Ratio - This level of measurement categorizes data into distinct categories with a specific order or ranking. The differences between the categories are equal and quantifiable, and there is a true zero point. Examples include height, weight, or time (measured in seconds, minutes, etc.).
In the case of "Ages of survey respondents," the most appropriate level of measurement is interval. Age can be categorized into distinct categories (e.g., 20-29, 30-39, etc.), there is a specific order or ranking among these categories, and the differences between the categories (e.g., 10 years) are equal and quantifiable. However, age does not have a true zero point (e.g., an age of 0 does not mean the absence of age), which is why it is not considered as a ratio level of measurement.