Measurement Scale

Measurement scale is a system of assigning numbers or labels to variables in a research or data analysis process. It is used to quantify and categorize the characteristics of a population or sample. There are four types of measurement scales: nominal, ordinal, interval, and ratio. Nominal scales are used to categorize data into distinct groups, such as gender or race. Ordinal scales rank data in a specific order, such as levels of education. Interval scales measure the distance between values, but do not have a true zero point, such as temperature in Celsius. Ratio scales have a true zero point and can be used to measure absolute values, such as weight or height.

Your Previous Searches

Random Picks

Asymmetry: Asymmetry refers to the lack of symmetry or balance between two or more entities. In data science, asymmetry can refer to the uneven distribution of data points in a dataset, where one tail of the distribution is longer than the other. This ... Read More >>
Evaluation Metric: Evaluation metric is a quantitative measure used to assess the performance of a machine learning model. It is used to evaluate how well the model is performing on the given dataset. The choice of evaluation metric depends on the type of pro ... Read More >>
Distributed File System: A Distributed File System (DFS) is a file system with data stored on a server that can be accessed and processed by multiple clients simultaneously. It allows for the sharing of files and resources among a group of computers connected to a ... Read More >>

Measurement Scale

Your Previous Searches

Random Picks

Top News

Uber CEO Dara Khosrowshahi calls Elon Musk's vision for Tesla robotaxis 'pretty ...

After Cynthia Erivo Called "Wicked" Fan Art "Offensive," Ariana Grande Has Offer...

Google Research execs reveal how they use AI in their daily lives — and where ...

Google DeepMind CEO Demis Hassabis explains what needs to happen to move from ch...

This is OpenAI CEO Sam Altman's favorite question about AGI...