1. Write. Building a Multiple Linear Regression Model →, Take a quiz – Central Tendency and Dispersion →, How to Compute the Measures of Dispersion using Microsoft Excel →, Using Central Tendency Measures to Describe Data →, If you find any value in this site and you'd like to contribute, you can donate via PayPal. Scales of Measurement: Nominal, Ordinal, Interval & Ratio Next Lesson Continuous, Discrete & Categorical Variables: Definition and Examples Chapter 9 / Lesson 4 Transcript Thank you! 71% average accuracy. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Nominal - when you can right-away talk about the possibility. Created by. Test. Revised on October 12, 2020. Discrete data may be also ordinal or nominal data (see our post nominal vs ordinal data). Levels of measurement, also called scales of measurement, tell you how precisely variables are recorded. Edit. Start studying Ch 1 Nomial, Ordinal, Discrete, or Continuous. In some situations, mathematical functions are not possible, too. 981 times. (1 Point) True False 16.Classify the given statement as nominal, ordinal, interval or ratio levels of measurement. What is the data type for the Rainfall in mm data? To play this quiz, please finish editing it. PLAY. Indicate which level of measurement is being used in the given scenario. What is the data type of the recorded data? The Four levels of measurement scales for measuring variables with their definitions, examples and questions: Nominal, Ordinal, Interval, Ratio. Preview this quiz on Quizizz. Statement: The variable age is an example of qualitative variable. Published on July 16, 2020 by Pritha Bhandari. The quiz below is designed to Assesses and reinforces the student's understanding of the nature and differences of discrete and continuous data. “Students’ scores on a biology test” is an example of which scale of measurement? Spell. Nominal, Ordinal, Interval, Ratio Quiz. (1 Point) True False 16.Classify the given statement as nominal, ordinal, interval or ratio levels of measurement. Some questions use real-world examples to test your understanding of these concepts. Number of votes: 100, 102, etc. A researcher doing a blind experiment got the respondent data coded with numbers in a column named “Respondent_ID”. Discrete: The values can be specific numbers only. In addition, quantitative data may also be classified as being either Discrete or Continuous. In scientific research, a variable is anything that can take on different values across your data set (e.g., height or test scores). Flashcards. Please rank the following activities … Nominal; Ordinal; Interval; Ratio; 2. Continuous Variable: A continuous variable is a numeric variable which can take any value between a certain set of real numbers. Examples: Number of children: 1, 2, 3, etc. Question 1 Fractions are meaningless. Given Statement: Ages of people working in a large factory. “The sequential list according which the batsmen in a cricket team would come out to bat” – Which of the following data types does this data set belong to? 6. 15 Questions Show answers. Match. Gravity. Indicate which level of measurement is being used in the given scenario. nominal; ordinal; interval; ratio; 3. Ordinal scale has all its variables in a specific order, beyond just naming them. (1 Point) nominal level ordinal level interval level ratio level 17.Classify the given statement as discrete or continuous. Learn. About This Quiz & Worksheet. Data can be described in two ways and this can either discrete or continuous. Nominal scale is a naming scale, where variables are simply "named" or labeled, with no specific order.